A black or completely blank render in Blender can be frustrating, especially when your viewport looks fine. Fortunately, the problem is usually easy to diagnose and fix. Here’s a comprehensive guide to help you determine why Blender is rendering black and how to resolve the issue quickly. Let’s explore in this blog with iRender!

If the grey screen doesn’t change and the render remains blank, it might be because Surfaces are disabled. Without surfaces, Cycles has no geometry to render. 

✅ Tips to Fix:

Go to Properties > View Layer Properties > Filter, and make sure the Surface option is checked.

Blender renders only from an active camera. If none is set, or it’s pointing at space, you’ll get a black screen.

✅ Tips to Fix:

• Press the Numpad 0 key to view the active camera.
• If the camera isn’t aligned properly, select it and press Ctrl + Alt + Numpad 0 to snap it to your current view.
• Check the Camera Clipping Range in the Camera Properties—make sure it’s not clipping out your scene.

Sometimes objects are visible in the viewport but are disabled from rendering.

✅ Tips to Fix:

• Open the Outliner and make sure the Camera icon is enabled for all relevant objects.
  
• Check for objects inside disabled collections.
  

Make sure the object’s Scale isn’t zero or that it hasn’t been moved far from the camera view.

Sometimes, you’ll see the image appear while rendering, but it disappears once the render finishes. This issue is often related to problems in the Compositor.

• Disconnected Composite Node: Make sure the Composite node is connected—this is the final output for rendering (not the Viewer node).
  
• Incorrect Node Setup: The compositing nodes may be causing unwanted effects. Try disabling, bypassing, or disconnecting nodes to isolate the problem.
  
• Wrong View Layer or Pass: Double-check that the Render Layers node is referencing the correct layer. Also, ensure you’re using the proper color socket—not alpha, depth, or another pass.
  
• Using Output from Another Scene: Confirm that the View Layer node is set to the current scene in the dropdown menu, not a different one.
• Glare Node Overpowering the Image: If you’re using a Glare node, keep an eye on the Mix Factor. A high value can cause the glare to completely obscure the original image. The default value is 0—stick close to that unless you want heavy glow effects.

Ensure the camera’s clip start and end values are set to include the full range of your scene. Any geometry positioned outside this distance—either too close or too far—won’t be visible in the final render.

If your scene is extremely large or very small, and it falls outside the camera’s clipping range, the camera won’t be able to “see” it. To help visualize this, enable Display Limits in the camera settings to see the clipping boundaries directly in the viewport.

Blank or black renders in Blender can be caused by a variety of issues, including a missing camera or lighting setup, incorrect compositor nodes, or incorrect clipping distances. By checking each element step-by-step—from visibility settings to render layers—you can quickly identify and resolve the issue.

For complex projects or high-resolution scenes that demand more GPU power, consider rendering with iRender. With powerful cloud-based GPU servers optimized for Blender (including Cycles and Eevee), iRender ensures your projects render faster and more reliably, without the headache of local hardware limitations.

iRender is proud to be one of the best GPU service providers on the market. We provide you with high-configuration models with advanced specifications such as AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz or AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4, 5GHz, 256GB RAM, 2TB NVMe SSD storage. Most importantly, we always update to the latest GPU technology, with 1/2/4/6/8 x RTX3090/RTX4090.

Under the IaaS (Infrastructure as a Service) model you will have full control over the machine via a remote desktop app, similar to TeamViewer but more stable. You will be able to proactively install the software and use it on the server just like using a personal computer. You can find many server packages with high-end configurations that are extremely suitable for complex projects.

We’re always happy to help you with any questions. If you have any problems or questions, don’t hesitate to contact our 24/7 support team. Or via WhatsApp: 0912 785 500 for free advice and support.

Right now, iRender has a SPECIAL PROMOTION program with a 100% bonus for the first transaction within 24 hours of your registration. It means that you can get an extra 100% of the money you recharged the first time. And points never expire, so you can use them at any time. Moreover, we have a special promotion for this month:

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Due to overwhelming support from our amazing community, we’re extending iRender’s biggest bonus event of the year! You now have more time to unlock powerful rendering bonuses and boost your creative projects through June 20, 2025.

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Sign up for an account today to experience and enjoy our services.

Thank you & Happy Rendering!

Source and image:blender.stackexchange.com

In the world of 3D creation—whether you’re rendering photorealistic scenes in Blender, animating in Cinema 4D, or sculpting in ZBrush—your hardware plays a critical role in the speed and quality of your work. One of the most important aspects is GPU memory—specifically, the difference between dedicated and shared GPU memory. This article will break down these two types of GPU memory, how they affect 3D workflows, and what you should look for when choosing or optimizing your setup. Let’s explore with iRender.

GPU memory—often referred to as VRAM (Video Random Access Memory)—is used to store graphics data such as textures, geometry, shaders, frame buffers, and more. It’s essential for real-time rendering, viewport interaction, and GPU-accelerated tasks like ray tracing or simulation.

There are two main types:

• Dedicated GPU memory: Physical VRAM built into a discrete graphics card.
• Shared GPU memory: System RAM borrowed for graphics tasks, mainly in integrated or lower-tier GPUs.

Dedicated GPU memory refers to the memory that’s physically built into a discrete (dedicated) graphics card. Think NVIDIA GeForce RTX 4080 or AMD Radeon RX 7900 XTX. This memory, typically labeled as VRAM (Video RAM), is reserved exclusively for GPU tasks, like rendering, shading, or real-time viewport preview.

Key Characteristics:

• Faster bandwidth: VRAM is designed for high-speed parallel processing.
  
• Independent from system RAM: It doesn’t borrow memory from your main system.
  
• Better performance: Ideal for handling large textures, complex meshes, and high-resolution viewport rendering.
  

Why It Matters for 3D Artists:

• High performance: VRAM offers high bandwidth and low latency, critical for rendering large scenes and working with high-resolution assets.
• Stability: Large 3D scenes often exceed 8 GB or even 16 GB of memory. When rendering high-poly scenes or using GPU-accelerated engines like Cycles, OctaneRender, or Redshift, the GPU relies heavily on VRAM. If your scene exceeds the available VRAM, it can cause crashes or force your system to fall back on slower system memory, dramatically affecting performance.
• Viewport interaction: Tasks like sculpting, physics simulation, or shading nodes rely heavily on quick memory access.

Example: A detailed scene with 8K textures, volumetrics, and multiple light sources might easily consume 12–16 GB of VRAM.

Shared GPU memory is a portion of your system’s RAM that the GPU can access if it runs out of dedicated VRAM. This is common in integrated graphics (like Intel Iris Xe or AMD Radeon Vega), where the GPU is part of the CPU and doesn’t have its own dedicated VRAM.

Shared GPU memory is useful for basic tasks like modeling, sculpting low-poly assets, or working on simpler scenes. But if you’re rendering or doing heavy viewport work, performance will suffer.

Key Characteristics:

• Slower than VRAM: Because it’s standard system memory, not optimized for graphical workloads.
  
• Dynamic allocation: The system decides how much RAM can be used as shared memory.
  
• Can help—but not replace—dedicated VRAM: It’s a fallback, not a replacement.
  

Limitations in 3D Workflows

• Lower bandwidth: System RAM is slower than VRAM, causing bottlenecks during intensive tasks.
  
• Less memory available overall: If 4 GB of your 16 GB RAM is being used as GPU memory, that’s less for your OS and other apps.
  
• Poor scalability: Great for light modeling or UI-based design work, but not for high-end rendering or VFX.

Example: A laptop with 16 GB of RAM might allocate 4–6 GB as shared memory. However, the bandwidth and latency differences mean it’s not suitable for serious GPU rendering.

As a 3D artist, the type of GPU memory your system uses can make or break your creative workflow. Here’s how to decide what works best for your needs:

Choose a Dedicated GPU If:

Dedicated GPU memory is a must-have for any artist working with complex 3D pipelines. Choose a discrete GPU if:

• You regularly render scenes or animations: Whether you’re using Cycles in Blender, Arnold in Maya, or Redshift in Cinema 4D, these engines heavily rely on VRAM to handle geometry, shaders, and high-resolution outputs efficiently.

• You work with simulations: Fluid dynamics, smoke, fire, cloth, and particle simulations can be VRAM-intensive, especially during baking or real-time previews.

• Your scenes use 4K or 8K textures: Textures are among the biggest VRAM consumers. A few 8K textures can easily consume multiple gigabytes of memory.

• You need real-time performance: Applications like Unreal Engine, Unity, and NVIDIA Omniverse require real-time rendering capabilities that only dedicated GPUs can offer. Shared memory simply can’t keep up with the performance demand.

Note: Minimum VRAM recommended for modern workflows in 2025: 12–16 GB
High-end scenes, especially those with volumetrics or ray tracing, may require 24 GB or more.

Use Shared GPU Memory Only If:

Shared memory can be a temporary or entry-level solution, but it comes with limitations. It’s only suitable if:

• You’re a student or hobbyist: If you’re just learning the basics or practicing low-poly modeling, integrated graphics can suffice.

• You mainly model or texture low-poly assets: Tasks that don’t involve real-time rendering or GPU-accelerated rendering can run on minimal hardware.

• You don’t render using GPU acceleration: If you’re using CPU rendering engines or just exporting assets, GPU memory becomes less critical.

For any 3D artist aiming to work efficiently and professionally, dedicated GPU memory is a necessity. It provides the raw speed, stability, and memory bandwidth required to handle complex scenes, render high-res outputs, and work efficiently in real-time environments.

However, high-end GPUs with large VRAM (like 24 GB or more) come at a steep cost and may not be accessible for every artist, especially freelancers or small studios.

That’s where iRender comes in. iRender is proud to be one of the best GPU service providers on the market. We provide you with high-configuration models with advanced specifications such as AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz or AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4, 5GHz, 256GB RAM, 2TB NVMe SSD storage. Most importantly, we always update to the latest GPU technology, with 1/2/4/6/8 x RTX3090/RTX4090.

Under the IaaS (Infrastructure as a Service) model you will have full control over the machine via a remote desktop app, similar to TeamViewer but more stable. You will be able to proactively install the software and use it on the server just like using a personal computer. You can find many server packages with high-end configurations that are extremely suitable for complex projects.

We’re always happy to help you with any questions. If you have any problems or questions, don’t hesitate to contact our 24/7 support team. Or via Whatsapp: 0912 785 500 for free advice and support.

Right now iRender has a SPECIAL PROMOTION program with a 100% bonus for the first transaction within 24 hours of your registration. It means that you can get an extra 100% of the money you recharged the first time. And points never expire, so you can use them at any time.

Sign up for an account today to experience and enjoy our services.

Thank you & Happy Rendering!

Source and image:Intel, Reddit, pugetsystems, cgdirector

Suppose you’re a 3D artist pushing photorealistic renders, motion graphics, or large-scale animation in Blender. In that case, the right GPU renderer can make all the difference, especially when you’re working with multiple GPUs. In 2025, multi-GPU rendering is faster, more accessible, and more competitive than ever.

Let’s explore the best multi-GPU render engines for Blender in 2025: Redshift, Octane, Arnold GPU, and V-Ray GPU—comparing their strengths, compatibility, and performance across multi-GPU setups, in this blog post with iRender.

GPU Support: ✅ Multi-GPU
GPU Vendor: NVIDIA only (CUDA/OptiX)
License: Paid (Maxon One or Redshift Subscription)

Redshift has matured into a serious contender for Blender users thanks to continued development and native Blender integration since late 2023. It’s one of the few biased GPU renderers, meaning it uses intelligent shortcuts to get stunning results fast, perfect for animation-heavy workflows or tight deadlines.

Redshift supports multi-GPU rendering on NVIDIA GPUs and can be configured to use all compatible GPUs on your machine. For optimal performance, Redshift recommends GPUs with high VRAM and CUDA cores.

Why It’s Great on Multi-GPU:

• Efficient scaling across multiple NVIDIA GPUs.
  
• Excellent memory handling, ideal for large scenes.
  
• Fast bucket rendering, especially in multi-pass workflows.
  

Downside: Still no native AMD support, and its Blender integration, while improving, trails behind Cinema 4D or Houdini in features.

Best for: Motion designers, character animators, and Blender users already in the Maxon ecosystem.

GPU Support: ✅ Multi-GPU
GPU Vendor: NVIDIA only (CUDA)

Octane has long been the go-to for artists craving uncompromised realism. It’s an unbiased GPU renderer, delivering stunning results out of the box with physically accurate lighting and materials.

OctaneRender scales almost perfectly with multiple GPUs, effectively doubling render speed with each additional GPU, provided the scene fits within the VRAM of each card.

Why It’s Great on Multi-GPU:

• Linear scaling with up to 4–8 GPUs.
  
• Real-time preview updates across all GPUs.
  
• Extremely fast path tracing, especially with denoising enabled.
  

Downside: High VRAM usage and stability issues in complex Blender scenes. Also, still no AMD support.

Best for: Product visualizers, architectural artists, and anyone needing ultra-high-quality stills and cinematic rendering.

GPU Support: ✅ Multi-GPU
GPU Vendor: NVIDIA only (OptiX)
License: Paid (Autodesk Subscription)

Arnold’s native Blender support is still in the gray zone, but thanks to USD export and third-party bridges, Blender artists can now tap into Arnold GPU, which became impressively stable in 2024. Unlike its CPU counterpart, Arnold GPU supports multiple GPUs via NVIDIA OptiX.

Arnold GPU utilizes all available NVIDIA GPUs at full capacity and can pool memory if NVLink is available. Arnold GPU works on NVIDIA GPUs of the Ada, Ampere, Turing, Volta, Pascal, and Maxwell architectures. Multiple GPUs will improve performance. 

Why It’s Great on Multi-GPU:

• Physically accurate rendering with robust AOV workflows.
  
• Fantastic subsurface scattering and hair rendering.
  
• Consistent results across GPU/CPU—great for hybrid pipelines.
  

Downside: Not a native Blender experience. Exporting via USD adds friction to the workflow.

Best for: Studios or freelancers who work across Maya/Blender and need unified rendering pipelines.

GPU Support: ✅ Multi-GPU
GPU Vendor: NVIDIA only (CUDA/RTX)
License: Paid (Chaos License)

V-Ray supports multi-GPU setups, allowing multiple NVIDIA GPUs to work together. V-Ray GPU has come a long way in performance and Blender support. While Chaos’ official Blender plugin is still unofficial (as of early 2025), many artists are using V-Ray GPU successfully via V-Ray Standalone and .vrscene exports from Blender.

Why It’s Great on Multi-GPU:

• Mature production-grade renderer with strong scaling.
  
• Fast interactive previews.
  
• Industry-trusted for archviz and VFX.
  

Downside: Export pipeline adds friction, and Blender support lacks the polish of Max or Maya.

Best for: Archviz professionals and artists transitioning from other DCCs who want Blender in their pipeline.

If you’re serious about multi-GPU rendering in Blender, it’s no longer just about choosing the best render engine. It’s about pairing that engine with the right infrastructure. No matter how powerful your render engine is—Redshift, Octane, Arnold GPU, or V-Ray GPU—your performance still heavily depends on hardware. For freelancers and small studios, building a multi-GPU workstation with RTX 4090s or RTX 6000 Ada cards can be cost-prohibitive. This is where cloud render farms like iRender offer the power and flexibility of a high-end workstation without the investment.

iRender is proud to be one of the best GPU service providers on the market. We provide you with high-configuration models with advanced specifications such as AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz or AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4, 5GHz, 256GB RAM, 2TB NVMe SSD storage. Most importantly, we always update to the latest GPU technology, with 1/2/4/6/8 x RTX3090/RTX4090.

Under the IaaS (Infrastructure as a Service) model you will have full control over the machine via a remote desktop app, similar to TeamViewer but more stable. You will be able to proactively install the software and use it on the server just like using a personal computer. You can find many server packages with high-end configurations that are extremely suitable for complex projects.

We’re always happy to help you with any questions. If you have any problems or questions, don’t hesitate to contact our 24/7 support team. Or via Whatsapp: 0912 785 500 for free advice and support.

Right now iRender has a SPECIAL PROMOTION program with a 100% bonus for the first transaction within 24 hours of your registration. It means that you can get an extra 100% of the money you recharged the first time. And points never expire, so you can use them at any time. Moreover, we have the special promotion for this month:

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Thank you & Happy Rendering!

Source and image:maxon.net, reddit.com, otoy.com

As a 3D artist, achieving lifelike renders inside Daz Studio hinges greatly on your graphics card’s capabilities. Daz Studio speeds up rendering processes using GPU acceleration, such as NVIDIA’s CUDA cores. Both hobbyists and professionals need to select a GPU. Balancing performance and cost is quite important when choosing it. In this blog post, let’s explore with iRender.

This section introduces the technical and practical factors Daz 3D users should consider when selecting a graphics card. It establishes a foundation of understanding before recommending any specific GPU. Before diving into specific GPUs, readers need to understand what makes a graphics card suitable for rendering in Daz Studio, especially given its unique GPU rendering architecture (Iray).

• CUDA Core Count:
  Daz Studio’s Iray render engine is built to utilize NVIDIA’s CUDA architecture. More CUDA cores typically mean faster render speeds, so this metric is critical. 
• VRAM Capacity:
  VRAM (Video RAM) determines how much scene data your GPU can handle before offloading to slower system memory. For Daz 3D, where scenes often include high-res characters, clothing, and environments, 12GB is a current safe minimum. 
• Driver Stability:
  Rendering is intensive. Stable, frequently updated drivers (especially NVIDIA Studio Drivers) ensure compatibility with the latest Daz Studio versions and reduce crashes. 
• Power Efficiency:
  Especially relevant for users rendering for hours or on compact PCs. Lower wattage = less heat, less fan noise, and lower electricity bills.

For professional 3D artists and animators working in Daz Studio, the NVIDIA GeForce RTX 3090 remains a top-tier choice. With a massive 24GB of GDDR6X VRAM, this GPU is built to easily tackle high-resolution textures, complex environments, and realistic lighting.

Powered by NVIDIA’s Ampere architecture, the RTX 3090 delivers a major leap in performance over previous generations, making it perfect for demanding rendering tasks and real-time previews.

– Key Highlights:

• 24GB GDDR6X VRAM – Ideal for large scenes and high-poly assets
• Ampere Architecture – Enhanced speed and efficiency
• 10,496 CUDA Cores – Outstanding parallel computing power
• 384-bit Memory Interface – High memory bandwidth for fast data handling
• Real-Time Ray Tracing Support – For lifelike lighting and shadows
• DLSS Technology – AI-powered performance boost without image quality loss
• Supports up to 8K Resolution – Future-proof for ultra-high-definition workflows
• Multi-Monitor Compatibility – Great for complex, multi-view setups

With its massive 24GB of VRAM, the RTX 3090 delivers outstanding performance in handling large, intricate Daz Studio scenes, enabling faster Iray rendering and smoother, more responsive viewport interaction.

For artists working with tighter budgets, the NVIDIA RTX 3060 Ti delivers impressive value in Daz Studio. Sporting 8GB of GDDR6 VRAM, this card strikes a solid balance between price and performance, making it well-suited for medium-complexity scenes and faster Iray previews.

– Key Highlights:

• 8GB GDDR6 VRAM – Ample for single-figure renders, moderate HD textures, and smaller environment assets
• 4864 CUDA Cores – Strong parallel-processing capability for efficient GPU rendering
• 256-bit Memory Interface – Offers a healthy memory bandwidth to keep data flowing smoothly
• Ampere Architecture – Improved efficiency and clock speeds over the previous generation
• Real-Time Ray Tracing Support – Enables realistic lighting and reflections during look-development
• DLSS Boost – AI-driven upscaling that helps maintain frame rates in viewport previews
• Power Draw: ~200W – Reasonable thermal profile for most mid-tower builds

While the 8GB VRAM limit may require careful scene optimization, such as reducing texture resolution or limiting subdivision levels, the RTX 3060 Ti remains a standout choice for Daz Studio artists looking to step up from entry-level cards without breaking the bank.

For professionals and serious hobbyists seeking stability, memory capacity, and efficient performance in Daz Studio, the NVIDIA RTX A4000 strikes an excellent balance. As a single-slot, workstation-focused card, it brings features tailored to content creation pipelines.

– Key Highlights:

• 16 GB GDDR6 ECC VRAM – Error correcting memory ensures data integrity during long renders and complex simulations, while 16 GB capacity comfortably handles multi-figure scenes, high-res textures, and dForce dynamics
• 6 144 CUDA Cores – Built on the Ampere architecture, these cores deliver robust parallel compute performance for NVIDIA Iray acceleration 

• 140 W TDP – Low power draw keeps thermals in check—ideal for compact workstations or multi-GPU setups 
• Single-Slot Form Factor – Fits into tighter chassis and allows for denser multi-card configurations
• NVIDIA Studio Driver Support – Certified drivers optimized for stability in 3D applications like Daz Studio

The RTX A4000 offers the memory headroom and professional-grade reliability that Daz Studio artists demand if you’re producing high-end character renders, batch animations, or intricate environment scenes

iRender is proud to be one of the best GPU service providers on the market. We provide you with high-configuration models with advanced specifications such as AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz or AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4, 5GHz, 256GB RAM, 2TB NVMe SSD storage. Most importantly, we always update to the latest GPU technology, with 1/2/4/6/8 x RTX3090/RTX4090.

Under the IaaS (Infrastructure as a Service) model you will have full control over the machine via a remote desktop app, similar to TeamViewer but more stable. You will be able to proactively install the software and use it on the server just like using a personal computer. You can find many server packages with high-end configurations that are extremely suitable for complex projects.

We’re always happy to help you with any questions. If you have any problems or questions, don’t hesitate to contact our 24/7 support team. Or via Whatsapp: 0912 785 500 for free advice and support.

Right now iRender has a SPECIAL PROMOTION program with a 100% bonus for the first transaction within 24 hours of your registration. It means that you can get an extra 100% of the money you recharged the first time. And points never expire, so you can use them at any time. Moreover, we have the special promotion for this month:

🎉 𝐔𝐧𝐟𝐨𝐥𝐝 𝐚 𝐍𝐞𝐰 𝐂𝐡𝐚𝐩𝐭𝐞𝐫 𝐰𝐢𝐭𝐡 𝐢𝐑𝐞𝐧𝐝𝐞𝐫 𝐁𝐢𝐫𝐭𝐡𝐝𝐚𝐲 – 𝐎𝐮𝐫 𝐆𝐫𝐚𝐧𝐝𝐞𝐬𝐭 𝐎𝐟𝐟𝐞𝐫 𝐘𝐞𝐭! 🎉

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______

Sign up for an account today to experience and enjoy our services.

Thank you & Happy Rendering!

Source and image:ms.codes, daz3d.com

Cinema 4D continues to be one of the most powerful and artist-friendly 3D software platforms available today. Its intuitive interface, robust animation toolset, and tight integration with rendering engines like Redshift, Octane, and Arnold make it a go-to for motion designers, VFX artists, and 3D professionals around the world.

In 2025, the performance of your GPU is still one of the most critical factors in how fast—and how smoothly—you can create and render your projects in Cinema 4D. Whether you’re rendering frames for a product animation, a music video, or a full-on cinematic sequence, having the right graphics card can save hours or even days. Let’s break down the top GPU choices for Cinema 4D in 2025 and help you decide which one fits your workflow best. In this blog post, let’s explore it with iRender.

Cinema 4D’s performance depends heavily on your graphics card, especially when paired with GPU-based render engines like Redshift and Octane. While CPU still plays a role, the GPU is doing the heavy lifting when it comes to real-time viewport performance and final frame rendering.

Cinema 4D has increasingly leaned on GPU acceleration for tasks like:

• Viewport performance: A smoother, more responsive viewport means faster iteration.
• Redshift rendering: Since Maxon acquired Redshift, its integration with Cinema 4D has become deeper and more optimized, and Redshift is a GPU-based renderer.
• Third-party GPU render engines: Octane, Arnold GPU, and Cycles 4D all benefit from a strong GPU.
  

For artists using Redshift (which is native to C4D now), CUDA and OptiX are the primary technologies used, meaning NVIDIA GPUs are still the top choice in most cases.

• VRAM: 24GB GDDR6X
  
• Rendering Performance: Industry-leading performance for both viewport interaction and final renders.
  
• Best For: Professionals working on high-resolution scenes and fast turnaround deadlines.
  

The RTX 4090 remains unmatched for GPU rendering in 2025. If you use Redshift, Octane, or Arnold GPU, this is the best choice—no question.

• VRAM: 20GB GDDR6X
  
• Rendering Performance: Slightly behind the 4090, but still a beast.
  
• Best For: High-end freelancers and studios on a tighter budget.
  

The 4080 Super is a strong contender, especially for users who don’t need the full 24GB of VRAM. Excellent for most professional workloads.

• VRAM: 48GB GDDR6
  
• Rendering Performance: Fantastic for memory-intensive workloads.
  
• Best For: Artists using Mac or looking for a large VRAM buffer.
  

While not as fast in pure CUDA-based engines, the W7900 shines for projects where memory limits are a bottleneck.

• VRAM: 48GB
  
• Rendering Performance: Enterprise-level power, optimized for stability.
  
• Best For: Large studios, production houses, and heavy simulation/render farms.
  

This card is built for reliability over long renders and simulations. Pricey, but ideal for demanding pipelines.

• Unified Memory: Up to 192GB
  
• Rendering Performance: Great performance in native Metal-supported renderers like Redshift for Mac.
  
• Best For: Mac-based designers prioritizing integration and ecosystem.
  

The M3 Ultra is a monster when it comes to general performance and rendering, especially if you’re locked into Apple’s ecosystem.

• Beginner or Hobbyist:

If you’re a beginner or hobbyist just starting out in Cinema 4D, the NVIDIA RTX 4070 Super is a fantastic entry point in 2025. It offers a great balance between cost and performance, making it ideal for learning, personal projects, and light client work. With enough CUDA cores and VRAM to handle Redshift and Octane renders on a moderate scale, it’s perfect for students or aspiring freelancers.

• Freelancer or Mid-Level Pro

For freelancers or mid-level professionals who handle more demanding projects and client work regularly, the NVIDIA RTX 4080 Super is highly recommended. It delivers excellent performance for complex scenes, significantly faster render times, and long-term reliability. This card is a great investment if you’re working on commercials, 3D animations, or product visuals and want to future-proof your setup without going all the way to a 4090.

• Studio-Level Artist or VFX Professional

If you’re a studio artist, full-time 3D professional, or VFX creator handling high-resolution assets and tight deadlines, then the NVIDIA RTX 4090 is the clear winner. As the most powerful consumer GPU available in 2025, it offers blazing-fast render speeds, real-time interactivity, and enough VRAM for the heaviest of scenes. It’s the best card for serious production environments where every second counts.

• Large Studio or Enterprise

For large studios, VFX pipelines, or enterprise-level productions, the NVIDIA RTX 6000 Ada Generation stands out. With 48GB of ECC VRAM, pro-grade drivers, and ultra-reliable thermal performance, it’s built for constant rendering, simulations, and team-based pipelines. This card is ideal for large-scale projects and those who require absolute stability over long rendering sessions.

• Mac Users

Mac users have an increasingly strong option in the Apple M3 Ultra, found in the latest Mac Studio and Mac Pro machines. With up to 192GB of unified memory and strong Metal-accelerated performance in Redshift and Octane X, it offers a smooth and powerful experience within the Apple ecosystem. It’s a great choice for motion designers and 3D artists who also work with tools like Final Cut Pro or Logic Pro.

In 2025, there’s no shortage of powerful GPUs for Cinema 4D users. Whether you’re building your dream workstation or rendering on the cloud, the right choice depends on your specific workflow, renderer, and budget.

If you want full control and local power, the RTX 4090 is still king. But if flexibility, scalability, and budget are key, iRender is an incredibly smart and modern solution.

Moreover, if investing in expensive hardware isn’t feasible, or you only need high-end performance occasionally, cloud rendering with iRender is a powerful alternative. Platforms like iRender offer access to multi-GPU setups featuring RTX 4090s or 3090s, letting you scale your rendering power on demand. It’s especially useful for freelancers or small teams working on deadline-driven projects without the upfront cost of a high-end workstation.

In 2025, iRender stands out as one of the most powerful and flexible cloud rendering platforms available for Cinema 4D users. Whether you’re a freelancer, a small team, or part of a large studio, iRender gives you instant access to high-performance GPU servers—featuring top-tier hardware like the RTX 4090, RTX 3090, and even multi-GPU configurations. Most importantly, we always update to the latest GPU technology, with 1/2/4/6/8 x RTX3090/RTX4090, we also have all servers with Cinema4D preinstalled and give you 1 license for free to use.

Under the IaaS (Infrastructure as a Service) model you will have full control over the machine via a remote desktop app, similar to Teamviewer but more stable. You will be able to proactively install the software and use it on the server just like using a personal computer. You can find many server packages with high-end configurations that are extremely suitable for complex projects.

We’ve put the RTX 4090 and RTX 3090 to the test across different GPU configurations (1/2/4/6/8 GPUs) and the results are mind-blowing. In this video, we compare performance across 1, 2, 4, 6, and 8 GPUs to see how Cinema 4D and Redshift perform with multiple GPUs. Let’s watch the results and find out which GPU configuration offers the best balance of speed and efficiency!

We’re always happy to help you with any questions. If you have any problems or questions, don’t hesitate to contact our 24/7 support team. Or via Whatsapp: 0912 785 500 for free advice and support.

Right now, iRender has a SPECIAL PROMOTION program with a 100% bonus for the first transaction within 24 hours of your registration. It means that you can get an extra 100% of the money you recharged the first time. And points never expire, so you can use them at any time.

Sign up for an account today to experience and enjoy our services.

Thank you & Happy Rendering!

If you’re diving into 3D rendering in Blender this year, you’ve probably asked yourself: “Which GPU should I get?” Whether you’re creating stylized characters, cinematic environments, or photo-real product renders, your graphics card is the powerhouse behind those beautiful final images.

In 2025, Blender’s rendering engines—Cycles, Eevee, and now the experimental Eevee Next—continue to push the limits of GPU performance. So let’s break down the best GPUs for various needs and budgets in this blog with iRender.

Before we jump into specific cards, here are the key specs that matter:

• CUDA Cores / Stream Processors: More cores = faster rendering (especially for Cycles).
  
• VRAM: 8GB minimum for complex scenes; 12–24GB preferred for heavy work.
  
• Ray Tracing Support: Essential for real-time rendering and path-traced engines.
  
• Driver Stability: Blender loves mature, stable drivers. Avoid the cutting edge too much.

• Performance: The RTX 4090 stands out as Blender’s most powerful consumer GPU, delivering exceptional performance in Cycles and Eevee rendering engines. It boasts 16,384 CUDA cores and 24GB of GDDR6X VRAM, ensuring smooth handling of complex scenes and high-resolution textures. ​
• Use Case: Ideal for professionals and studios requiring top-tier rendering capabilities.​

• Performance:

The RTX 4080 offers a balanced mix of performance and efficiency, featuring 9,728 CUDA cores and 16GB of GDDR6X VRAM. It’s well-suited for demanding rendering tasks while consuming less power than the RTX 4090.

The RTX 4080 offers a balanced blend of performance and cost-efficiency. Equipped with 16GB of VRAM, it provides robust rendering capabilities suitable for most professional workflows. While it trails the RTX 4090 by about 24% in performance, its more accessible price point makes it an attractive option for many users.

• Use Case: Suitable for artists seeking high performance without the premium price tag of the RTX 4090.​

• Performance: AMD’s RX 7900 XTX is a strong contender, offering 20GB of GDDR6 VRAM and leveraging FidelityFX Super Resolution (FSR) technology to enhance rendering performance.
• Use Case: A cost-effective choice for users who prefer AMD’s ecosystem and seek solid rendering performance.​

• Performance: With 16GB of GDDR6X VRAM, the RTX 4070 Ti Super delivers excellent performance for its price point, making it a favorite among budget-conscious creators.​
• Use Case: Ideal for freelancers and hobbyists seeking high performance without a hefty investment.​

• Performance: The mobile variant of the RTX 4080 brings desktop-level performance to laptops, featuring up to 16GB of VRAM and optimized power consumption.​
• Use Case: Perfect for professionals needing powerful rendering capabilities on the go.​

According to a comprehensive analysis by 360Render, the RTX 4070 Super offers the best price-to-performance ratio, with an OctaneBench score of 697 and a value ratio of 1.23. The RTX 4090, while delivering the highest performance with a score of 1,484, has a lower value ratio of 0.93 due to its premium price.​

Considerations for Your Workflow

• VRAM Requirements: Ensure the GPU has sufficient VRAM for your project’s complexity; 16GB is a good starting point for most tasks.​
• Software Compatibility: Verify that your chosen GPU is compatible with Blender’s rendering engines and any third-party plugins you use.​
• Power Supply: High-performance GPUs like the RTX 4090 require robust power supplies; ensure your system can accommodate the power demands.​

While performance is key when choosing a GPU for Blender, price and value for money are equally important, especially for artists with specific budgets. Here’s a quick rundown of what you’re paying for:

• RTX 4090: Expensive, but worth every dollar if you’re a studio professional or dealing with ultra-heavy scenes. Prices can exceed $1,800 USD in some markets, so think twice if you’re just learning or doing small-scale freelance work.
• RTX 4080: Priced more moderately (around $1,200 USD), with only about 20–25% less performance than the 4090. This is a balanced choice between power and practicality—highly recommended for pro artists.
• RTX 4070 Ti Super: At around $800–900 USD, it delivers excellent performance for medium-scale projects and animations. Easily the best bang-for-buck GPU for freelancers, content creators, and even serious students.
• RTX 4060 Ti 16GB: At roughly $450–500 USD, this is currently the best budget option for Blender users working on smaller projects or learning the software. If your scenes aren’t heavy with simulations or 8K textures, it’s a solid pick.
• RTX 4060 8GB or GPUs with less than 8GB VRAM: While affordable, these cards no longer meet Blender 2025’s performance demands, especially for Cycles or heavy texture work. Long-term, this is not a wise investment.

Bottom line: Choose a GPU that matches your workload and budget. Don’t overspend on top-tier cards just for smoother viewports, but also avoid underpowered ones that you’ll need to replace too soon.

If you’re unsure whether to upgrade or rent power on demand, try benchmarking your current setup with Blender’s official benchmark tool, or give a cloud service like iRender a spin to compare.

 iRender is proud to be one of the best GPU service providers on the market. We provide you with high-configuration models with advanced specifications such as AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz or AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4, 5GHz, 256GB RAM, 2TB NVMe SSD storage.

Under the IaaS (Infrastructure as a Service) model you will have full control over the machine via a remote desktop app, similar to Teamviewer but more stable. You will be able to proactively install the software and use it on the server just like using a personal computer. You can find many server packages with high-end configurations that are extremely suitable for complex projects. Our machines have preinstalled Blender, you can choose to create the machine at first then connect and render yourself

We’re always happy to help you with any questions. If you have any problems or questions, don’t hesitate to contact our 24/7 support team. Or via WhatsApp: 0912 785 500 for free advice and support.

Right now iRender has a SPECIAL PROMOTION program with a 100% bonus for the first transaction within 24 hours of your registration. It means you can get 100% of the money you recharged the first time. And points never expire so you can use them at any time.

Sign up for an account today to experience and enjoy our services.

Thank you & Happy Rendering!

Source and image:renderjuice.com, pcguide.com, toxigon.com

Blender has become one of the most powerful and accessible 3D creation tools in the world. Whether you’re modeling, sculpting, animating, rendering, or editing video, your hardware makes a huge difference. In 2025, with Blender continuing to push boundaries—especially with features like real-time rendering in Eevee and advanced ray tracing in Cycles—it’s important to build or buy a PC that can keep up. In this blog, iRender will explore the best PC specs for Blender users in 2025.

• AMD Ryzen 9 9950X3D

  • Key Specs: 16 cores, 32 threads, up to 5.7GHz boost clock, 144MB total cache.
  • Strengths: Exceptional performance in both creative workloads and gaming, thanks to 2nd-gen 3D V-Cache.
  • Performance: Outperforms Intel’s Core i9-14900K and Core Ultra 9 285K in most benchmarks.

• AMD Ryzen Threadripper PRO 7995WX

  • Key Specs: 96 cores, 192 threads, 2.5GHz base clock.
  • Strengths: The top-tier choice for rendering, simulations, and extremely complex Blender projects.
  • Performance: Ranked #1 in Blender CPU benchmarks as of April 2025.

• NVIDIA GeForce RTX 4090

  • Key Specs: 16,384 CUDA cores, 24GB GDDR6X VRAM.
    
  • Strengths: Outstanding performance for Cycles rendering and smooth viewport interaction. Excellent ray tracing and DLSS 3 support.
    
  • Performance: Expensive, large, and requires a solid power supply and cooling setup.

• NVIDIA GeForce RTX 5090

  • Key Specs: 21,760 CUDA cores, 32GB GDDR7 VRAM.
    
  • Strengths: Next-gen powerhouse, ideal for extremely demanding Blender workflows with DLSS 4 support.
    
  • Performance: High power draw (575W), needs at least a 1000W PSU.

• Minimum: 32 GB DDR5
  
• Recommended: 64 GB DDR5 or higher​
  

Blender can utilize significant amounts of RAM, especially when working with complex scenes or simulations. For professionals handling large projects or multitasking with other applications, 64 GB or more is advisable.

• Primary Drive: 1 TB NVMe SSD (Gen 4 or higher)

Ensures fast load times and efficient handling of large project files.

• Secondary Storage: 2 TB or more SSD/HDD

It is used for storing assets, backing up, and less frequently accessed data.​

Utilizing multiple drives can help organize projects and optimize performance.

• Recommended: 27″ 4K IPS display with 100% sRGB or DCI-P3 color accuracy
  • Provides ample screen real estate and accurate color representation, essential for detailed modeling and texturing work.​
    

Consider a dual-monitor setup to enhance productivity, allowing for a more organized workspace. ​

Not everyone needs (or can afford) a top-tier machine. Here are some recommended PC builds based on different budget levels, tailored for Blender users:

💸 Budget Build (~$800 – $1200): For beginners and students

• CPU: AMD Ryzen 5 7600 / Intel Core i5-13400
• GPU: NVIDIA RTX 4060 / RTX 3060 12GB
• RAM: 32GB DDR4
• Storage: 1TB SSD
• → Great for modeling, light scene work, and personal rendering projects.

⚖️ Mid-Range (~$1500 – $2200): For freelancers and semi-pros

• CPU: AMD Ryzen 9 7900X / Intel i7-14700K
• GPU: NVIDIA RTX 4070 Ti / 4070 Super
• RAM: 64GB DDR5
• Storage: NVMe + HDD combo
• → Handles mid-size projects, short animations, and commercial-quality renders.

🚀 High-End (~$3000+): For small studios or heavy-duty projects

• CPU: AMD Ryzen 9 7950X / Intel i9-14900K
• GPU: RTX 4090
• RAM: 128GB DDR5
• Storage: Dual NVMe + NAS or external SSD for backup
• → Ideal for film projects, high-end VFX, and complex archviz scenes.

If you’re not into building your own PC, look at custom workstation builders like Puget Systems or Boxx. And if you don’t want to invest in hardware up front, cloud rendering services like  iRender offer high-performance GPU instances tailored for Blender users.

For optimal Blender performance in 2025, invest in a balanced system that aligns with your workflow needs. Prioritize a powerful GPU, ample RAM, and fast storage to handle complex scenes and rendering tasks efficiently.

If you’re unsure whether to upgrade or rent power on demand, try benchmarking your current setup with Blender’s official benchmark tool, or give a cloud service like iRender a spin to compare.

 iRender is proud to be one of the best GPU service providers on the market. We provide you with high-configuration models with advanced specifications such as AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz or AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4, 5GHz, 256GB RAM, 2TB NVMe SSD storage.

Under the IaaS (Infrastructure as a Service) model you will have full control over the machine via a remote desktop app, similar to Teamviewer but more stable. You will be able to proactively install the software and use it on the server just like using a personal computer. You can find many server packages with high-end configurations that are extremely suitable for complex projects. Our machines have preinstalled Blender, you can choose to create the machine at first then connect and render yourself

We’re always happy to help you with any questions. If you have any problems or questions, don’t hesitate to contact our 24/7 support team. Or via WhatsApp: 0912 785 500 for free advice and support.

Right now iRender has a SPECIAL PROMOTION program with a 100% bonus for the first transaction within 24 hours of your registration. It means you can get 100% of the money you recharged the first time. And points never expire so you can use them at any time.

Sign up for an account today to experience and enjoy our services.

Thank you & Happy Rendering!

Source and image: theverge.com, pcguide.com, AS.com

Choosing a renderer is one of the most critical decisions for 3D artists using Cinema 4D. The renderer you select can impact your workflow speed, the visual quality of your final output, system requirements, and even your creative process. With several high-powered third-party engines available, it’s easy to feel overwhelmed by the options.

In this guide, we’ll break down and compare three of the most popular third-party render engines for Cinema 4D: Arnold, Octane, and Redshift. Each has unique strengths and limitations, and the best choice depends on your specific needs, style, and hardware. In this blog post, let’s explore it with iRender.

Before delving into specific renderers, consider what aspects are most critical for your projects:

• Speed: Is rapid rendering a priority to meet tight deadlines?​ 
• Quality: Do you require photorealistic outputs with intricate details?​ 
• Versatility: Is compatibility across various platforms and project types important?​ 
• Stability: Do you need a renderer known for consistent performance without frequent crashes?​

By identifying your priorities, you can better align your choice of renderer with your specific needs.​

CPU rendering relies on the central processing unit (CPU) to handle all aspects of the rendering process—lighting, shadows, global illumination (GI), caustics, and more. It is known for its high physical accuracy and broad compatibility, although it’s generally slower compared to GPU rendering.

Advantages:

• Not dependent on GPU and runs well on almost any system
• Stable and reliable, especially when handling heavy or complex scenes
• Physically accurate and high-quality results
• Often performs better in scenes with complex effects like volumetrics, displacement, particles, etc.

Disadvantages:

• Longer render times compared to GPU
• Doesn’t leverage the massive parallel computing power of modern GPUs
• Requires a powerful CPU with many cores

GPU rendering utilizes the graphics processing unit (GPU) to perform rendering calculations. Thanks to the GPU’s massively parallel architecture, it can render images significantly faster, making it especially useful for quick previews or tight deadlines.

 Advantages:

• Extremely fast – drastically reduces render times
  
• Supports real-time/interactive rendering (instant preview of changes)
  
• Fully leverages the power of modern GPUs (like the Nvidia RTX series)
  
• Ideal for fast, flexible, creative pipelines
  

Disadvantages:

• Heavily hardware-dependent – requires a powerful GPU with plenty of VRAM
  
• Some effects are still not fully optimized (e.g., volumetrics, heavy motion blur)
  
• May become unstable with very large scenes if VRAM is insufficient

Arnold has a longstanding reputation in the film industry for its high-quality, photorealistic rendering capabilities. Arnold is particularly favored for projects where uncompromised quality is essential and rendering speed is a secondary concern.​ 

Ideal for: Artists and studios aiming for top-tier visual quality in film and television projects.​

Pros: 

• Versatility: It supports both CPU and GPU rendering, accommodating various hardware setups.​ 
• Cross-Platform Compatibility: It integrates seamlessly with multiple 3D applications, including Cinema 4D, Maya, 3ds Max, and Houdini.​ 
• Feature-Rich: Offers a comprehensive set of tools, including a full Toon system for non-photorealistic rendering.​ 
• Stability: Known for its reliability, making it suitable for complex and lengthy projects.​

Cons:

• Render Speed: Generally slower compared to GPU-focused renderers.​ 
• Cost: Requires a separate license, adding to project expenses.​

Redshift is a GPU-accelerated renderer known for its balance between speed and flexibility. Redshift suits users who need a versatile renderer capable of handling a variety of project demands efficiently.​

Pros:

• Customization: Allows extensive shader and lighting adjustments to achieve the desired look.​ 
• Efficiency: It handles complex scenes with large datasets efficiently.​ 
• Integration: As a Maxon product, it offers tight integration with Cinema 4D, streamlining the workflow.​

Cons:

• Learning Curve: It may require time to master its node-based material system.​ 
• Hardware Requirements: Needs a compatible and powerful GPU for best performance.

Octane is renowned for its speed and impressive output quality, especially when leveraging GPU acceleration. Octane is ideal for artists who prioritize rapid rendering without significantly compromising on quality.​

Pros:​

• Real-Time Feedback: Provides immediate visual feedback, enhancing the creative process.​ 
• ACES Workflow Support: Facilitates a wide color gamut and high dynamic range, contributing to more realistic renders.​ 
• Cost-Effective: Figma offers a competitive pricing structure, making it accessible for freelancers and small studios.​

Cons:

• Hardware Dependency: Requires a robust GPU, specifically NVIDIA cards, for optimal performance.​
• Stability Issues: Users have reported occasional crashes, though stability has improved in recent versions.

Selecting the appropriate renderer involves weighing project requirements, hardware capabilities, budget constraints, and personal workflow preferences. It’s advisable to test trial versions of these renderers to experience their interfaces and performance firsthand. Engaging with community forums and seeking feedback from other professionals can also provide valuable insights.​The best choice aligns with your specific needs and enhances your creative process within Cinema 4D.

iRender is proud to be one of the best GPU service providers on the market. We provide you with high-configuration models with advanced specifications such as AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz or AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4, 5GHz, 256GB RAM, 2TB NVMe SSD storage. Most importantly, we always update to the latest GPU technology, with 1/2/4/6/8 x RTX3090/RTX4090.

Under the IaaS (Infrastructure as a Service) model you will have full control over the machine via a remote desktop app, similar to Teamviewer but more stable. You will be able to proactively install the software and use it on the server just like using a personal computer. You can find many server packages with high-end configurations that are extremely suitable for complex projects.

We’ve put the RTX 4090 and RTX 3090 to the test across different GPU configurations (1/2/4/6/8 GPUs) and the results are mind-blowing. In this video, we compare performance across 1, 2, 4, 6, and 8 GPUs to see how Cinema 4D and Redshift perform with multiple GPUs. Let’s watch the results and find out which GPU configuration offers the best balance of speed and efficiency!

We’re always happy to help you with any questions. If you have any problems or questions, don’t hesitate to contact our 24/7 support team. Or via Whatsapp: 0912 785 500 for free advice and support.

Right now, iRender has a SPECIAL PROMOTION program with a 100% bonus for the first transaction within 24 hours of your registration. It means that you can get an extra 100% of the money you recharged the first time. And points never expire, so you can use them at any time. Moreover, we also have the special promotion on this month:

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Maxon Redshift is a powerful GPU-accelerated renderer widely used in VFX, motion graphics, architecture, and product visualization. While it provides fast and high-quality rendering, achieving smooth performance requires proper setup and optimization.

Many users face slow renders, noisy outputs, or memory limitations, but these challenges can be overcome with the right techniques. This guide will cover essential tips to help you optimize performance, manage resources, and enhance workflow efficiency in Redshift. In this blog post, let’s explore with iRender.

Render settings play a crucial role in balancing quality and speed. Setting up Redshift correctly ensures you avoid unnecessary slowdowns while maintaining a high level of detail.

✅ Choose the Right Render Mode

Redshift provides two modes:

• Basic Mode: Ideal for beginners or quick renders with minimal customization.
  
• Advanced Mode: Gives full control over sampling, ray tracing, and optimization settings for professional work.

Tip: If you’re experiencing long render times, lower the sample values in basic mode first, then tweak the advanced settings as needed.

✅ Use Adaptive Sampling for Faster Renders

Adaptive sampling automatically reduces noise where needed instead of using a high, fixed sample count across the entire image. This speeds up rendering while maintaining quality in critical areas like shadows, reflections, and fine details.

Since Redshift is GPU-based, its performance depends largely on the graphics card’s memory, processing power, and system configuration.

✅ Utilize Multiple GPUs

If you have multiple GPUs, make sure Redshift is using them efficiently:

• Enable Multi-GPU Rendering in the Redshift settings.
  
• Avoid mixing different GPU models, as it may cause instability.
  
• Ensure adequate VRAM (8GB+ recommended for complex scenes).
  

✅ Optimize VRAM Usage

Large textures, displacement maps, and high-poly models can quickly eat up VRAM, slowing down performance.

• Use Mipmap Textures instead of full-resolution textures.
• Limit displacement subdivisions to essential areas only. 
• Use Proxy Objects (RS Proxies) for high-poly models.

Redshift’s shader system allows for complex material creation, but inefficient textures can significantly slow down renders.

✅ Use the Shader Node Editor for Efficient Material Management

Redshift’s Node Editor lets you build procedural materials, reducing the need for large image textures.

Tip: Instead of using high-resolution bitmaps, use procedural Noise and Gradient nodes to dynamically create textures.

✅ Reduce Texture File Size

Instead of using 4K or 8K textures for every object, downscale textures where possible:

• Diffuse maps: 2K–4K is often enough.
• Bump/Normal maps: Can be reduced to 1K without significant quality loss.
• Use JPG instead of PNG for non-transparent textures to save memory.

✅ Use Area Lights Instead of Point Lights

Point lights cast shadows in all directions, increasing render time. Instead, use area lights with controlled spread for better soft shadows and faster performance.

Tip: Use Portal Lights for interior scenes with windows to improve global illumination.

✅ Optimize Shadow Samples to Reduce Noise

Too many shadow samples increase render time, while too few create noise.

• Enable or disable shadow casting:

• Transparency:

This setting determines the transparency of shadows created by the light source. Lower values result in darker shadows, with a default setting of 0 producing entirely black shadows. Conversely, a value of 1 eliminates shadows.

The example below illustrates how the shadow transparency of a fully opaque sphere can be adjusted using this light parameter.

• Softness:

This setting controls the softness of shadow edges for non-area lights. A value of 0 results in sharp, well-defined shadows, while increasing the value creates progressively softer shadow edges.

By applying these essential Redshift optimization tips, you can improve render speed, reduce noise, and make better use of your hardware. The key to working smoothly with Redshift is balancing quality and performance, keeping your workflow efficient, and continuously learning from experts.

Whether you’re working on realistic VFX, architectural visualization, or motion graphics, mastering these techniques will boost your efficiency and rendering quality.

iRender is proud to be one of the best GPU service providers on the market. We provide you with high-configuration models with advanced specifications such as AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz or AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4, 5GHz, 256GB RAM, 2TB NVMe SSD storage. Most importantly, we always update to the latest GPU technology, with 1/2/4/6/8 x RTX3090/RTX4090.

Under the IaaS (Infrastructure as a Service) model you will have full control over the machine via a remote desktop app, similar to Teamviewer but more stable. You will be able to proactively install the software and use it on the server just like using a personal computer. You can find many server packages with high-end configurations that are extremely suitable for complex projects.

We’ve put the RTX 4090 and RTX 3090 to the test across different GPU configurations (1/2/4/6/8 GPUs) and the results are mind-blowing. In this video, we compare performance across 1, 2, 4, 6, and 8 GPUs to see how well Redshift scales with more power. Let’s watch the results and find out which GPU configuration offers the best balance of speed and efficiency!

We’re always happy to help you with any questions. If you have any problems or questions, don’t hesitate to contact our 24/7 support team. Or via Whatsapp: 0912 785 500 for free advice and support.

Right now iRender has a SPECIAL PROMOTION program with a 100% bonus for the first transaction within 24 hours of your registration. It means that you can get an extra 100% of the money you recharged the first time. And points never expire, so you can use them at any time.

________

Sign up for an account today to experience and enjoy our services.

Thank you & Happy Rendering!

Source and image:help.maxon.net, ultrarender.com

Creating high-quality game characters requires a seamless workflow that integrates modeling, texturing, rigging, and rendering. The process can be time-consuming and complex, especially when working with multiple software applications. However, Reallusion’s CC Auto Setup plugin for 3ds Max simplifies the pipeline, enabling artists to efficiently transfer characters from Character Creator 4 (CC4) to 3ds Max for rendering with V-Ray. In this blog, iRender explores how CC Auto Setup optimizes the character creation workflow, from initial design to final rendering.

The journey begins in CC4, where the base model is crafted to align with the concept art. The GoZ Plus plugin allows for easy transfer of the character to ZBrush for detailed modeling of armor and clothing. After modeling, tools like TopoGun and ZBrush’s ZRemesher are employed for retopology, creating low-poly versions suitable for real-time applications. UV mapping uses RizomUV and texture baking in TopoGun to generate normal and ambient occlusion maps. 

Texturing is accomplished in Substance 3D Painter, ensuring that each armor and clothing is meticulously detailed. Garment pieces such as pants, capes, and loincloths are designed in Marvelous Designer and then imported back into CC4, where skin weights are transferred to ensure proper movement with the character’s rig. The fully assembled character is then exported as an FBX file, with 3ds Max selected as the target tool preset.

With the CC Auto Setup plugin installed in 3ds Max, importing the character becomes a straightforward process. The plugin’s interface allows for loading the exported FBX file and selecting V-Ray GPU as the renderer. Upon clicking the Import button, the character, along with its skeleton, skin weights, and materials, is seamlessly integrated into 3ds Max. The plugin automatically converts CC4 materials into V-Ray materials, preserving the original rig and material properties.

The CC Auto Setup plugin offers a variety of lighting presets to facilitate look development. These presets generate sets of lights, cameras, and backgrounds, with a dummy helper object included to easily manipulate the lighting setup. Users can experiment with different presets to achieve the desired aesthetic for their character. Material adjustments can be made directly within the plugin’s interface, allowing for fine-tuning of properties such as subsurface scattering intensity and other material attributes without accessing 3ds Max’s Material Editor.

Reallusion’s CC Auto Setup plugin significantly streamlines the process of importing and setting up characters from Character Creator 4 into 3ds Max for rendering with V-Ray. By automating the conversion of materials and facilitating the transfer of rigs and skin weights, the plugin saves valuable time and effort, allowing artists to focus more on the creative aspects of character development.

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Thank you & Happy Rendering!

Source and image: cgchannel.com