Redshift is a robust 3D rendering software that helps bring designs, models, animations, and entire scenes to life. In this article, we’ll cover everything from the minimum system requirements to detailed hardware recommendations for building the Best PCs for Redshift Rendering.

Before putting together the best PCs for Redshift rendering, it’s essential to understand the minimum system requirements. Below, you’ll find both the minimum and recommended specs as outlined by Maxon.

Redshift supports three rendering modes, including options for GPU and/or CPU rendering. However, it has been observed that CPU rendering is significantly slower than GPU rendering, even though the output quality is quite comparable. For those working within a tighter budget, it’s advisable to prioritize investing in a high-performance GPU.

While the CPU doesn’t directly influence Redshift’s GPU rendering speed, a more powerful CPU can accelerate tasks like mesh extraction, texture loading, and scene data preparation. Additionally, if your workstation will also handle modeling or animation tasks using tools like Cinema 4D, Maya, or 3ds Max, the CPU becomes an important component.

When selecting a CPU to build the Best PCs for Redshift Rendering, three main factors should be kept in mind:

• Core Count

A higher number of cores improves multitasking capabilities and enhances performance in multi-threaded software. If you opt for Redshift’s CPU rendering, having more cores will also be advantageous.

• Clock Speed

CPUs with higher clock speeds can process instructions more rapidly, leading to faster computation. This boosts responsiveness during editing tasks and speeds up real-time previews, benefiting modeling and animation workflows.

• PCIe Lanes

The total number of PCIe lanes supported by the CPU directly impacts how many GPUs can be installed in your system. This is especially crucial for Redshift GPU rendering, as adding more GPUs will noticeably reduce rendering times.

Recommended CPUs:

• AMD Ryzen™ 7 9700X – 8 cores, 3.8 to 5.5 GHz, 28 PCIe lanes
• AMD Ryzen™ Threadripper™ PRO 3955WX – 16 cores, 3.9 to 4.2 GHz, 128 PCIe lanes
• AMD Ryzen™ Threadripper™ PRO 5975WX – 32 cores, 3.6 to 4.5 GHz, 128 PCIe 4.0 lanes
• AMD Threadripper™ PRO 7965WX – 24 cores, 4.2 to 5.3 GHz, 148 PCIe lanes

Since Redshift is primarily a GPU-based renderer, the graphics card becomes the most critical component when building the Best PCs for Redshift Rendering. Two main factors of the GPU affect rendering performance in Redshift: the GPU’s raw speed and its available memory (VRAM).

• Raw Speed

The raw speed of a GPU doesn’t have a standardized measurement. Users often compare rendering times across various GPU models to assess their relative performance. Naturally, a faster GPU will deliver better rendering speeds.

• VRAM (Video Memory)

VRAM determines the size and complexity of scenes that can be handled efficiently. Although Redshift can use the system RAM when GPU memory runs out, this approach significantly slows down the rendering process. For optimal performance, it’s advisable to choose GPUs with sufficient onboard VRAM to match your project demands.

• Multi-GPU Setup

Redshift can take advantage of multiple GPUs to enhance rendering speed. It is best practice to use GPUs of the same architecture and model to minimize instability risks. Additionally, when mixing GPUs with different VRAM capacities, the system will default to the smallest available VRAM across all cards, which can lead to inefficiencies.

While Redshift is compatible with both AMD and NVIDIA graphics cards, we recommend opting for NVIDIA GPUs for the best compatibility and performance. NVIDIA GeForce GPUs are popular for offering excellent raw performance and solid VRAM at an accessible price point. Moreover, NVIDIA GeForce GPUs offer advantages like CUDA cores, OptiX, and advanced ray tracing capabilities that significantly boost Redshift rendering performance. In contrast, NVIDIA Quadro cards deliver higher VRAM capacities—often double that of GeForce cards—and are engineered for demanding, continuous workloads, though they come at a higher cost relative to performance. 

Ultimately, the decision between these options depends on your specific workload and budget.

Recommended GPUs:

• GeForce RTX™ 5080 16GB
• GeForce RTX™ 5090 32GB
• GeForce RTX™ 4090 24GB
• GeForce RTX™ 3090 24GB

In Redshift rendering, RAM (Random Access Memory) is primarily used to store the scene data and prepare it for rendering on the GPU. Specifically, it holds texture data before it’s transferred to the GPU’s VRAM. 

The recommended minimum RAM for Redshift rendering and GPU-based workflows is 32GB. However, if you frequently multitask or work with multiple large applications simultaneously, upgrading to 64GB or more is recommended.

Hard drives are used as long-term storage devices for computers. They store digital data such as operating systems, programs, files, and other user data.

NVMe M.2 SSDs as your primary drive is highly recommended, especially for the operating system, Redshift installation, and other key software. These SSDs provide much faster boot and load times, lower energy consumption, increased durability, and less heat compared to traditional HDDs, yet at a higher cost.

It’s also advisable to opt for at least a 500GB SSD to avoid the hassle of early upgrades to your primary drive.

Click here to learn how to optimize Redshift render settings.

iRender offers high-performance machines equipped with premium specs such as the AMD Ryzen™ Threadripper™ PRO 3955WX (3.9–4.2GHz), along with options for 1, 2, 4, 6, or 8 RTX 4090 or RTX 3090 GPUs, 256GB of RAM, and 2TB NVMe SSD storage.

Additionally, iRender provides each user with a free Cinema 4D – Redshift license, eliminating the need to transfer your own license to our render nodes.

Why can iRender be a great render farm for you?

In addition to high-configuration servers, iRender provides many other utilities to provide the best user experience.

• Dedicated server for individuals: You have full control and access to the server you rent. The working environment (installed apps, files) will be stored for the next use.
• Easy and free file transfer between your computer and iRender’s server: The transferring task can be done via iRender GPU application for Windows and the iRender Drive application for MacOS.
• 24/7 assistance: iRender’s attentive agents are always ready to support all your queries.
• All software compatibility: iRender’s PCs are built to meet the configuration needs of all 3D software and rendering tools at a variety of cost levels for users to choose from.

Let’s see how fast Redshift renders on iRender’s nodes!

New users will get a 100% bonus for the first transaction within 24 hours of their registration. No minimum amount!! If you top up 50$, you will get 100 points in total to hire our machines.

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Thank you for reading

Source: Maxon, Uli-ludwig, Pugetsystems, Exxactcorp

Multiple graphics cards can help shorten rendering time, but what if multi-GPU rendering isn’t utilizing all your GPU cards? Scroll down to find out!

GPU rendering refers to the use of a graphics processing unit’s capabilities to render scenes or animations. It takes advantage of the GPU’s parallel processing power, VRAM, and limited CPU assistance to deliver much faster performance compared to CPU-only rendering. You can learn more about the advantages and disadvantages of GPU rendering in this article.

Multi-GPU rendering involves using two or more GPUs (graphics cards) at the same time for rendering tasks. This technique distributes the workload across all GPUs, greatly improving rendering speed, especially when working with complex 3D environments. Due to its performance benefits, many rendering engines are designed to support multi-GPU rendering. Well-known engines that utilize this approach include Redshift, Octane Render, Blender Cycles, and V-Ray.

One of the most common issues iRender helps users solve is when the render engine fails to utilize all available GPU cards during multi-GPU rendering. The first step in troubleshooting this problem is checking GPU usage. While Task Manager is a typical tool for monitoring hardware, in our experience, its readings can sometimes be inaccurate. Therefore, we always verify performance with additional tools. We recommend using MSI Afterburner, Nvidia-SMI, or GPU-Z as more reliable alternatives.

MSI Afterburner is a widely used tool for overclocking graphics cards, allowing users to tweak and monitor various GPU settings. Although it’s developed by MSI, the software works with most GPU brands like NVIDIA, AMD.

In addition to overclocking, it enables users to keep track of critical stats like CPU and GPU temperature, frame rate (FPS), memory usage, and fan speeds—all of which help ensure better performance and system stability. 

You can enable the on-screen display (OSD) to get live hardware performance updates while rendering, or open the app and navigate to the GPU Usage section to view how each graphics card is performing during multi-GPU rendering.

GPU-Z, developed by TechPowerUp, is a compact and powerful tool that gives in-depth information about your GPU. Its core purpose is to show details such as the graphics card’s model, brand, memory type, and much more. On top of that, it provides real-time monitoring of GPU performance metrics like temperature, usage levels, memory load, and clock speeds—helpful for assessing both efficiency and thermal output.

It’s compatible with a wide array of GPUs, including models from NVIDIA, AMD, ATI, and Intel, and works on most Windows systems. A notable perk is that GPU-Z can be run without installation, making it extremely convenient. 

For users working with multi-GPU rendering, GPU-Z is especially valuable, as it allows real-time tracking of each GPU’s performance, useful for diagnosing issues or identifying which cards are delivering the best results.

Nvidia-SMI (short for NVIDIA System Management Interface) is a command-line utility provided by NVIDIA, designed for monitoring and controlling NVIDIA GPU hardware.

It offers comprehensive system information, including GPU count, model names, memory allocations, and usage stats. One of its key strengths is the ability to observe real-time GPU data—like temperature, power draw, memory consumption, and clock speeds—which is critical for avoiding performance drops due to overheating during demanding rendering tasks.

This tool is especially helpful when diagnosing multi-GPU rendering issues. If performance isn’t as expected, you can use Nvidia-SMI to check whether GPUs are being properly utilized or if there’s a thermal or memory bottleneck affecting the system. 

Additionally, it lets users tweak settings such as power limits and fan control, giving more flexibility in optimizing the GPU environment for rendering workloads.

iRender has compiled several practical solutions that have proven effective in getting render engines to make full use of all available GPU cards. You can try each method one by one to see which one works best in your specific case:

• Switch between CUDA and OPTIX rendering modes.
• Update to the latest GPU driver—or try downgrading to a previous version.
• Enable or disable Hardware-accelerated GPU scheduling in your system settings.
• Disable CPU rendering. In some engines like Redshift or Blender, enabling both GPU and CPU rendering can actually slow things down, and may prevent some GPUs from operating at full capacity. Turning off CPU rendering often helps resolve this issue.

If none of these workarounds resolve the problem—either some GPUs are still inactive or their usage levels are uneven—the underlying issue may be related to the CPU or the complexity of the scene.

Even in GPU rendering workflows, the CPU plays a vital role in sending necessary data to the GPUs. If your GPUs are significantly more powerful than the CPU, a bottleneck can occur where GPUs are forced to wait for the CPU, resulting in idle time for some cards.

Additionally, if the scene you’re rendering is relatively simple, it may not be demanding enough to fully utilize all GPUs. In such cases, consider rendering on a system with fewer GPUs to ensure more efficient hardware usage.

iRender provides high-configuration machines with upmarket specifications: high-end GPUs including 1/2/4/6/8 x RTX4090 or RTX3090 with strong CPUs such as AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz or AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4.5GHz, RAM 256GB, and Storage NVMe SSD 2TB, which can dramatically enhance the speed of GPU rendering.  Most importantly, we always update to the latest GPU technology.

Why can iRender be a great render farm for you?

In addition to high-configuration servers, iRender provides many other utilities to provide the best user experience.

• Dedicated server for individuals: You have full control and access to the server you rent. The working environment (installed apps, files) will be stored for the next use.
• Easy and free file transfer between your computer and iRender’s server: The transferring task can be done via iRender GPU application for Windows and the iRender Drive application for MacOS.
• 24/7 assistance: iRender’s attentive agents are always ready to support all your queries.
• All software compatibility: iRender’s PCs are built to meet the configuration needs of all 3D software and rendering tools at a variety of cost levels for users to choose from.

Let’s see how fast it renders on our servers!

Currently, we have a promotion for new users. You will receive a 100% bonus for the first transaction within 24 hours of your registration. REGISTER NOW to get the free trial today—don’t miss out!

If you have any questions, please contact me at duongdt@irender.vn or our 24/7 support team for a quick response.

Thank you for reading & Happy New Year!

Source: Microsoft, MSI, NVDIA, TechPowerUp, Massedcompute, Baeldung

Even though Redshift is famous for its fast GPU rendering, we can further fine-tune the render settings for Redshift to make the rendering even faster. Let’s scroll down!

To optimize the Render Settings for Redshift, it’s important to understand how each option impacts your final render.

The Render Settings for Redshift will vary depending on the render settings mode and the rendering engine you choose.

For render settings modes, Basic mode offers a simplified list of commonly used settings, while Advanced mode gives you access to all available options for the selected engine.

Regarding the rendering engines, there are two options: Production and RT. Production is Redshift’s primary engine for high-quality final frame rendering, while RT (Real-Time) is Redshift’s fast, interactive engine designed for near-instant feedback. However, since RT is still in beta, it’s recommended to use Production for stability and reliability.

If you are new to Redshift or prefer a straightforward setup, Basic mode is an excellent way to adjust your render quality without getting overwhelmed.

Now, let’s explore how to optimize the Render Settings for Redshift using the Production engine in Basic mode.

The first setting is Bucket Quality, which you can adjust from Low to Very High. Higher quality settings automatically lower the Threshold value, directly influencing the final image’s quality and noise levels.

In general, the higher the Bucket Quality (or the lower the Threshold), the better the render quality and the less visible noise, though this will also increase render times. You also have the option to manually adjust the Threshold if needed.

Denoising helps reduce noise in rendered images while preserving key details like edges and textures. It can speed up rendering times, but sometimes at the cost of slight accuracy loss. You can toggle Denoising on or off using the checkbox.

Below the checkbox, you can choose between different Denoising engines, each with its strengths:

• OptiX – Very fast and supports interactive rendering, but may not clean up noise as effectively as Altus.
• OIDN – Also fast and usable during interactive rendering, but similar to OptiX, it may leave a bit more noise compared to Altus.
• Altus Single – Slower (rendering the frame once before applying denoising) and non-interactive, but provides good results for final renders.
• Altus Dual – The slowest option (rendering the frame twice before denoising), but delivers the highest-quality results for final renders.

Motion Blur replicates the natural blur seen when objects or cameras move rapidly during a frame.

• Motion Blur Checkbox: Enable or disable motion blur.
• Motion Blur Steps: Defines how many linear steps Redshift uses to simulate the motion of objects, lights, and cameras. More steps result in smoother motion but require more memory.
• Deformation Blur: This toggle controls whether vertex-level deformation blur is included. Since Deformation Blur can consume a lot of memory, it’s best to leave it disabled if your objects don’t have animated deformations, to optimize performance.

Global Illumination (GI) is a technique that simulates how light bounces and spreads across a 3D scene, helping achieve more realistic and natural-looking lighting.

You can enable or disable GI using the checkbox. For the most authentic lighting results, it’s best to keep GI enabled; however, this will increase your render times.

Caustics simulate the concentrated light rays that reflect off or refract through surfaces. While enabling caustics can add realism, it often introduces intense noise that’s harder to clean up.

• Combined Depth: Sets the maximum number of times any ray (including GI, reflections, refractions, and volume scattering) can interact with the scene.
• Global Illumination Depth: Controls the number of times an indirect lighting ray bounces. Raising this value is useful for scenes like interiors where multiple light bounces create more realistic effects.
• Reflection Depth: Limits the number of bounces a reflection ray can perform.
  Refraction Depth: Limits how many times a ray can pass through transparent or refractive surfaces.
• Volume: Sets the limit for how many times a ray can scatter inside a volumetric object (like fog or smoke).
• Transparency Depth: Controls how many times a ray can pass straight through transparent objects.
  

Important Note: No matter how high individual ray type limits are set, the Combined Depth is the overall maximum. For example, if Reflection Depth and Refraction Depth are both set to 4, but Combined Depth is 6, a ray can only reflect and refract a total of 6 times combined.

While increasing depth values can improve realism, it will also significantly raise render times.

Enabling Hardware Ray-Tracing allows Redshift to use hardware-accelerated ray-tracing, provided you have compatible GPUs like Nvidia RTX series cards.

The performance boost from hardware ray-tracing depends on the scene; scenes that rely heavily on ray-traced effects will benefit the most. Keep in mind that non-ray-traced techniques like irradiance caches are not accelerated by hardware RT.

• Always keep your 3D software, Redshift, and GPU drivers updated to the latest versions.
• Close any unnecessary applications to free up RAM and other system resources.
• Optimize your scene by lowering the polygon count and removing any unused objects and materials.
• Reduce Progressive Passes to 32 or 16 to help free up the GPU for other processes.
• Turn on Automatic Sampling to allow Redshift to manage sampling more efficiently.
• Minimize the use of heavy features like Motion Blur, Caustics, and unnecessary AOVs, as they can heavily impact performance.
• Enable Hardware Ray-Tracing to speed up rendering if your GPU supports it.
• Lower the Trace Depth for faster renders; just be aware this might slightly darken your scene.
• Increase the Thresholds to speed up renders—though this will add some noise, which you can counterbalance by raising sample rates or using denoising.
• Adjust the Bucket Size carefully. Avoid using very small (64) or very large (512) bucket sizes, as they can prevent the GPU from working efficiently.
• Tweak your Redshift Preferences: select only your GPU(s) for rendering. Avoid enabling CPU usage or Hybrid Rendering, as involving the CPU can slow down performance.
• Disable Material Previews during rendering to save resources.
• In addition to optimizing the render settings for Redshift, using multiple high-performance GPU cards like iRender’s nodes can greatly accelerate rendering speeds.

If you’re deciding between Octane, Corona, and Redshift, you might want to check out this article for a detailed comparison.

iRender offers high-performance machines equipped with premium specs such as the AMD Ryzen™ Threadripper™ PRO 3955WX (3.9–4.2GHz), along with options for 1, 2, 4, 6, or 8 RTX 4090 or RTX 3090 GPUs, 256GB of RAM, and 2TB NVMe SSD storage.

Additionally, iRender provides each user with a free Cinema 4D – Redshift license, eliminating the need to transfer your own license to our render nodes.

Why can iRender be a great render farm for you?

In addition to high-configuration servers, iRender provides many other utilities to provide the best user experience.

• Dedicated server for individuals: You have full control and access to the server you rent. The working environment (installed apps, files) will be stored for the next use.
• Easy and free file transfer between your computer and iRender’s server: The transferring task can be done via iRender GPU application for Windows and the iRender Drive application for MacOS.
• 24/7 assistance: iRender’s attentive agents are always ready to support all your queries.
• All software compatibility: iRender’s PCs are built to meet the configuration needs of all 3D software and rendering tools at a variety of cost levels for users to choose from.

Let’s see how fast Redshift renders on iRender’s nodes!

New users will get a 100% bonus for the first transaction within 24 hours of their registration. No minimum amount!! If you top up 50$, you will get 100 points in total to hire our machines.

REGISTER NOW

If you have any questions, please get in touch with me through email duongdt@irender.vn or our 24/7 support team for a quick response.

Thank you for reading

Source: Maxon, cgshortcuts

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.

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

Thank you & Happy Rendering!

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

There are a lot of reasons why your Redshift can render so slow, slower than you expected. It could come from your low-end hardware, the scene optimization, the effects or sometimes render settings. The reasons are various and it’s no end if we talk about them. Let’s talk about something more helpful, such as how to troubleshoot Redshift rendering slow. This article collects some common solutions we have used to help our users on iRender render farm.

NVIDIA Studio Drivers undergo extensive testing against multi-app creator workflows and multiple revisions of the top creative applications, which help you to achieve the best performance and reliability when working with those apps.

Sometimes, slow render in Redshift is caused by old studio driver, and updating to a latest version will help.

On iRender remote machine, we always update to the latest driver version. However, if we haven’t updated on time, you can always come to X drive of the remote machine > 11.NVIDIA RTX 4090 DRIVER > Studio > take the latest driver to the remote desktop and install.

It will take some minutes to restart the machine, and then you can connect again. Don’t shutdown the machine while it’s updating. After it’s done, you can start the render again.

You should always remember to work/install/set output path on the iRender remote desktop or C drive, not inside Z/Y drives.

Z/Y drives are network drives for transferring files only. Working there is not stable and could cause slow rendering or even crashing.

Sometimes turning on/off hardware acceleration on the remote machine can help you render faster. To do so, follow these instructions:

On Windows 10, you download the .rdp file to your local PC > right-click the .rdp file and choose Edit > on the Remote Desktop Connection tab, choose Display > drag the slider to the left and to the right to change the hardware acceleration > click Connect. The password for .rdp file is your iRender account password.

On Windows 11, you right-click the desktop > Display Settings > Graphics > Change default graphics settings > click the toggle switch below “Hardware-accelerated GPU scheduling.” Then you start your render again to see if it works.

To optimize rendering speed, please configure the render setting as follows:

• • • • Increase Bucket size to the max
      • If the Irradiance Point Cloud Screen Radius is used, increase it to maximum.

Hybrid Rendering uses both the CPU and GPU to render a scene. You can enable or disable Hybrid Rendering in the Redshift settings here:

Hybrid Rendering does not always cause slower rendering. For simple scenes, this setting may work well, depending on CPU performance. However, older or less powerful CPUs may render more slowly than expected.

For more complex scenes that require more power, the CPU can become a bottleneck. In such cases, the GPU may finish its tasks quickly, but the render will be delayed while waiting for the CPU to complete its portion. If this happens, it is best to disable Hybrid Rendering for better performance.

Redshift or any 3D software requires strong hardware. Maybe your hardware or the remote machine you use on iRender render farm is not strong enough. You can always check another server package and try rendering to see if it’s faster.

To do so, without losing your installed software and data, you can shutdown the remote machine > choose “change package” feature. All your software and data will remain. Remember that your machine must finish shutting down, then you can choose “change package”.

iRender is the most powerful render farm for Cinema 4D and Redshift users. We are a PaaS rendering service, providing you remote machine from single to multiple RTX4090. Our supercomputers come with high-end specifications like AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz or AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4.5GHz, RAM 256GB, Storage NVMe SSD 2TB. Most importantly, we always update to the latest GPU technology, with 1/2/4/6/8 x RTX3090/RTX4090.

Check out these articles to know why RTX 4090 is still the best graphics card for Redshift rendering: Top GPU for Redshift, Octane and V-Ray in 2023 and Compare RTX 4090 vs RTX 6000 Ada vs RTX A6000 for content creation.

You are free to install any 3d software or rendering engines. And now we are having remote servers with Cinema 4D and Redshift pre-installed.

Our users are free to use one Cinema 4D and Redshift license on our remote machine. You just need to activate it via our license app, and start to render your project without having to waste time to install the software or transfer your license.

Check out some of our Redshift tests on our server RTX 4090/3090:

Not only those powerful configuration, iRender also provides you more services. Free transferring tool named iRender drive for macOS or Linux users. For Windows users, we recommend using our all-in-one application iRender GPU to work, and you don’t need to come to our website. Our price is flexible with hourly rental which has pay-as-you-go basis, daily/ weekly/ monthly subscription with discount from 10-20%. Plus, you have 24/7 support service with real human who will support you whenever you encounter an issue.

Register an account today to experience our service and enjoy a very big promotion 100% bonus for new user’s first top up. Or contact us via WhatsApp: (+84) 916806116 for advice and support.

Thank you & Happy Rendering!

Source and images: wikihow.com, support.maxon.net

Ornatrix is a powerful plugin for generating dynamic hair, fur and feathers, supported by many famous 3D software and renderers, including Redshift. If you use Ornatrix with Redshift, you don’t need to convert hair to a mesh or curves and can feed it directly to Redshift for rendering. This saves time and memory and produces better looking results, especially when used together with Redshift’s own hair shader. In this article, let’s figure out some steps to render hair with Ornatrix for Redshift.

You can create complex hair shaders adding color and texture variations, because the UVs and Curved IDs will be exported automaticaly from Ornatrix to Redshift. You can also use the Hair Random Color utility texture to randomize a color or texture map across all hair strands using the curve ID data provided by Ornatrix.

If you just press render without utility, the result will be like this:

To add color variations to the hair, let’s try connecting the “Hair Random Color” utility texture to the Diffuse Color input of the hair shader:

Then you play with the Hue, Saturation and Value amount, you will get this effect:

You can use Hair Position utility to get the positions along the hair strands. This will enable you to texture the hair from root to tip, adding gradients and other effects.

You can see these nodes below where we use Redshift Ramp Texture to add a gradient color along the strands. The Hair Position node should be connected to the Uv Coord input of the Ramp Texture node:

Then you connect the Ramp Texture to the Diffuse Color channel of the hair shader or any other input that you would like to control using the ramp texture, you have this result:

You can reduce alias, noise and artifacts issues by using the Hair Min pixel width option. It will help you thicken and add some transparency to the hair strands at render time.

Come to Render Settings > Optimization tab > expand the Hair Min pixel width section > check the “Enable” checkbox to activate this option. You should remember to select Redshift as current rendering engine.

The Mesh From Strands operator can generate feathers, and you can texture them easily. You can generate the resulting meshes with as many UV sets as you need for texture layering. In the following example we are going to explore how Mesh From Strands and different UV sets can be used for feather texturing.

You can add Mesh From Strands at the top level of your hair stack. It will convert your hairs to mesh but every operator under Mesh From Strands still affects the meshes. It’s also possible to add a Change Width to determine the shape of the feathers using the ramp curve. But since we are going to use an alpha map to determine the shape of the feathers, we don’t have to draw a custom shape, just use the Width amount to increase the width of the planes as you desire:

We need at least two channels of UVs for proper texturing: One UV channel where the feathers inherit the UVs from the distribution mesh, which helps us texture the feathers with the same texture as the distribution mesh. One Per-Strand UV channel to texture the polygon planes from root to tip, which helps us apply the alpha feather texture on a Per-Strand basis.

To increase UV channel to two, go back to Mesh From Strands. In the UV Mapping tab, increase the Map Channel Count to 2:

The hair object now has two UVW tags. You use the Selected Map Channel parameter to select between the two channels. The Mapping Type of the first channel is channel to One UV at each vertex by default, allowing the feathers to inherit the UVs from the distribution mesh. If you use Selected Map Channel to select the second channel, leave the Mapping Type of this channel as it is but turn on the Per-Strand Coordinates checkbox.

By now the UVs are ready, we proceed to link each channel to a different texture. You can follow this instructions:

Add a Redshift material to the hair object and open it with the Redshift Shader Graph. We are going to link one texture to each channel: A feather alpha map and a texture color map. Add two texture nodes and load any alpha map for a feather. In this case the alpha from the texture was extracted using a RS Color Splitter. Finally, you go to the UV section of the texture node of the alpha map and write the name of the Per-Strand UV channel created previously, in this case is the channel2:

You can do the same when connecting the color texture, but this name you should link it to channel one to get the colors from the distribution mesh. If you launch a render, the result will be like this:

You can definitely use Ornatrix for Redshift on iRender’s remote computers. iRender provides you a high-performance and configurable server system for 3D rendering, AI Training, VR & AR, simulation, etc. We believe that design and creative activities are private and personal that only you artists will know what you want with your animation.

Check out these articles to know why RTX 4090 is still the best graphics card for Redshift rendering: Top GPU for Redshift, Octane and V-Ray in 2023 and Compare RTX 4090 vs RTX 6000 Ada vs RTX A6000 for content creation.

You can create a remote machine, then install Ornatrix and any renderers and 3D software on our remote machine (first time access only), add license, and modify, adjust and render by yourself there.

Let’s see some of Redshift benchmark with on our package RT4090s:

Not only those powerful configuration, iRender also provides you more services. Free transferring tool named iRender drive for macOS or Linux users. For Windows users, we recommend using our all-in-one application iRender GPU to work, and you don’t need to come to our website. Our price is flexible with hourly rental which has pay-as-you-go basis, daily/ weekly/ monthly subscription with discount from 10-20%. Plus, you have 24/7 support service with real human who will support you whenever you encounter an issue.

Especially, if you use Cinema 4D and Redshift, now you can access our remote servers without having to install the software and renderer. We have an option to choose pre-installed Cinema 4D and Redshift, and provide you one combo license free.

Register an account today to experience our service and enjoy a very big promotion 100% bonus for new user’s first top up. Or contact us via WhatsApp: (+84) 916806116 for advice and support.

Thank you & Happy Rendering!

Source and images: ephere.com

In this article, let’s talk about an issue which makes Redshift users frustrated: Redshift material previews black. What is the cause of the issue and how to fix it.

The way you configure Material Preview in Redshift Preferences usually can cause black material preview or not. You can check how it’s configured by going to Redshift menu > Preferences > Redshift > check Material Previews like the photo below:

Redshift ‘Material Preview’ settings consist of Off, When Renderer is Idle, Suspend Render, Background Render. Nowadays, the default material refresh mode is Background Render and you should make sure to set it to avoid material previews black.

• • • • Off: All material preview requests are ignored. If Cinema 4D requests a preview, it will display a black image.
      • When Renderer is Idle: Previews are generated only when the renderer is idle. If no Picture Viewer (PV) renders are active, or if the Interactive Preview Region (IPR) rendering is paused, previews are rendered. If the renderer is not available and a cached image from a previous render exists, Redshift uses it and adds a red square in the corner to indicate it might be outdated.
      • Suspend Render: Any active IPR or PV render is temporarily paused to allow for batches of previews to render. This may cause delays in active renders, depending on the number of previews needed and how long it takes for the original render to resume.
      • Background Render: Previews are rendered in parallel in the background using the CPU only. Active renders are not affected, and there should be minimal performance impact. However, memory usage might increase slightly while previews are rendering. You should set material preview in this mode.

If it’s because of the Material Preview setting that makes black materials and you change it to a more appropriate setting that updates the previews regularly, they will need to be refreshed to update the change.

To refresh the previews:

• • • • Make a change to the material itself, or
      • Force an update: in the Cinema 4D Material Manager, choose Material > Render All Materials

This will ensure that all material previews are updated correctly after adjusting the settings.

iRender is proud to introduce our remote machine, from single to multiple RTX4090. We provide you supercomputers, with high-end specifications like AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz or AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4.5GHz, RAM 256GB, Storage NVMe SSD 2TB. Most importantly, we always update to the latest GPU technology, with 1/2/4/6/8 x RTX3090/RTX4090.

Check out these articles to know why RTX 4090 is still the best graphics card for Redshift rendering: Top GPU for Redshift, Octane and V-Ray in 2023 and Compare RTX 4090 vs RTX 6000 Ada vs RTX A6000 for content creation.

You are free to install any 3d software or rendering engines, including Redshift on our remote servers, add your own license then render or modify your project by yourself.

Our users are free to use one of our Redshift and Cinema 4D license on the remote machine. You just need to create a machine with pre-installed C4D and Redshift and activate it via our license app and start to render your project without having to waste time to install the software or transfer your license.

Check out some of our Redshift tests on our server RTX 4090/3090:

Not only those powerful configuration, iRender also provides you more services. Free transferring tool named iRender drive for macOS or Linux users. For Windows users, we recommend using our all-in-one application iRender GPU to work, and you don’t need to come to our website. Our price is flexible with hourly rental which has pay-as-you-go basis, daily/ weekly/ monthly subscription with discount from 10-20%. Plus, you have 24/7 support service with real human who will support you whenever you encounter an issue.

Register an account today to experience our service and enjoy a very big promotion 100% bonus for new user’s first top up. Or contact us via WhatsApp: (+84) 916806116 for advice and support.

Thank you & Happy Rendering!

Source and images: support.maxon.net

3D rendering involves generating a photorealistic 2D image from 3D models. Depending on the type of computer processor used, rendering can be categorized into CPU-based and GPU-based. This article focuses on GPU rendering, while details about CPU rendering can be seen here.

Graphics processing units (GPUs) are specialized computer processors designed to enhance the performance of 3D graphic rendering. GPU rendering leverages the GPU’s power, its memory (VRAM), and partial support from the CPU. Thanks to its capability for high-speed, multi-core parallel processing, GPU rendering has become widely used in fields like 3D animation previews, video games, virtual reality (VR), and other interactive media.

🎯 Speed: While GPU cores are less powerful individually compared to CPU cores, their large number enables rapid mathematical calculations. A GPU can dedicate all its cores to a single task, unlike a CPU that handles multiple tasks simultaneously. This parallel processing using thousands of small, energy-efficient cores allows GPUs to render quickly and consume less power.

🎯 Real-Time Rendering: GPUs excel in real-time rendering, making them ideal for tasks where rapid iteration and fast results are essential, such as game development and 3D animation previews. With this fast preview, artists can seamlessly adjust scenes, lighting, and graphical elements for smoother workflows.

🎯 Scalability: GPUs are easier to scale in a rendering setup than CPUs. Adding multiple GPUs boosts performance significantly, making them a flexible choice for demanding tasks.

🎯 Rendering Techniques and Features: GPU rendering supports advanced techniques like ray tracing, global illumination, ambient occlusion, depth of field, and motion blur. Moreover, many modern GPUs are optimized for ray tracing, a technique that produces realistic lighting effects. In addition, frequent driver updates for GPUs also introduce new features and fix bugs more quickly than their CPU counterparts.

⚙️ Render Precision: GPUs are less adept than CPUs at managing intricate instructions and complex logical operations. Additionally, their memory limitations can hinder performance when rendering highly detailed scenes. As a result, artists often need to rely on scene optimizations and creative workarounds to achieve high-quality renders.

⚙️ Memory: GPU memory (VRAM) typically ranges from 4GB to 12GB, with high-end consumer models offering up to 24GB. Consequently, this limited memory can pose a significant challenge when handling large scenes, potentially causing crashes if the GPU is overloaded.

⚙️ CPU Dependency: In GPU rendering, the GPU cannot function independently without the CPU. The process requires the CPU to provide pixel data for the GPU to perform complex calculations. If the CPU’s performance is significantly slower than the GPU, a bottleneck can occur, causing some GPU cores to remain idle while waiting for data. This inefficiency will slow down the GPU rendering performance.

🔹 GPU Architecture: The design of a GPU significantly influences its efficiency and performance. Different architectures, such as those from NVIDIA and AMD, vary in power efficiency and processing capabilities.

🔹 Clock Speed: This measures how quickly a GPU can process data. Higher clock speeds generally translate to better performance.

🔹 Core Count: The primary advantage of a GPU is its ability to perform parallel calculations across a large number of cores, enabling faster rendering. Therefore, the higher the core count, the faster the rendering could be.

🔹 Memory (VRAM): GPU uses its memory (VRAM) to store data about pixels, such as color and position while rendering. The type and amount of VRAM affect how much data a GPU can process simultaneously. More VRAM improves performance with high-resolution textures and complex scenes. 

🔹 Memory Bandwidth: This refers to how quickly data can be read from or written to VRAM. Higher memory bandwidth improves performance, particularly for memory-intensive applications.

🔹 Cooling Solutions: Effective cooling systems, such as air or liquid cooling, prevent thermal throttling, where the GPU reduces performance to avoid overheating, ensuring consistent performance.

🔹 Drivers and Software: Regular driver updates optimize performance and address bugs. Software settings and optimizations can also impact how effectively a GPU performs in games and applications.

🔹 Resolution and Settings: GPU performance is influenced by the resolution and graphical settings, such as texture quality and anti-aliasing, selected by the user. Higher resolutions and advanced settings demand more from the GPU.

🔹 CPU Power: A powerful GPU requires a strong CPU to keep up with its data processing needs. If the CPU lags, it can create a bottleneck, limiting the GPU’s performance.

When building PCs for 3D rendering, all the factors mentioned above are important to consider. To save time and money, you might opt for a render farm like iRender, which offers high-performance machines tailored for rendering tasks.

▶️ Developer: Autodesk

▶️ Popular fields: Film and animation

▶️ Integrations: Maya, 3ds Max, Houdini, and Cinema 4D

▶️ Minimum system requirements: Windows 10, x86-64 CPUs need to support the SSE4.1 instruction set

▶️ License: $35/month

▶️ Developer: Maxon

▶️ Popular fields: 3D animation and visual effects (VFX)

▶️ Integrations: Cinema 4D (seamlessly), Maya, Houdini, Katana and Blender 

▶️ Minimum system requirements: 64-bit Windows 10, 16 GB of RAM, NVIDIA GPU with CUDA compute capability 5.0 and 8 GB VRAM, or AMD RDNA 2 with 8 GB VRAM

▶️ License: 

• Commercial price: €22.85 – €47.97/month 
• Educational price: €6.15/month (manually paid) for a bundle of software

▶️ Developer: OTOY

▶️ Popular fields: 3D animation and visual effects (VFX)

▶️ Integrations: 3Ds Max, Archicad, Autocad, Blender, Cinema  4D, Houdini, Maya and more

▶️ Minimum system requirements: CUDA-compatible NVIDIA GPU, 8 GB RAM

▶️ License: €19.99 – 23.95/month

▶️ Developer: Chaos

▶️ Popular field: Architecture

▶️ Integrations:  3ds Max, Cinema 4D, Houdini, Maya, Nuke, Revit, Rhino, SketchUp, and Unreal

▶️ Minimum system requirements: Intel 64 or AMD 64, 8GB RAM, Windows 10 or Windows 11

▶️ License: 

• Commercial price: €74.9-€109.9/month
• Educational price: €11.17/month

▶️ Developer: Next Limit Technologies

▶️ Popular fields: Film, animation, VFX, Architecture

▶️ Integrations: Rhinoceros, Sketchup, 3Ds Max, Cinema 4D, Archicad, Form Z, Maya, Multilight

▶️ Minimum system requirements: Windows 7, 2 GHz Intel® Core2 processor, AMD Athlon 64, 1 GB RAM, CUDA-compatible NVIDIA GPU 

▶️ License: €195-495/month

▶️ Developer: Blender Foundation

▶️ Popular fields: Animated films, visual effects, art, 3D printed models, motion graphics, virtual reality, and games

▶️ Integrations: Maya, 3ds Max, Unity, Unreal Engine (through file export options)

▶️ Minimum system requirements: Windows 8.1 (64-bit), CPU 4 cores with SSE4.2 support, RAM 8GB

▶️ License: Free

iRender provides high-configuration machines with upmarket specifications: high-end GPUs including 1/2/4/6/8 x RTX4090 or RTX3090 with strong CPUs such as AMD Ryzen™ Threadripper™ PRO 3955WX @ 3.9 – 4.2GHz or AMD Ryzen™ Threadripper™ PRO 5975WX @ 3.6 – 4.5GHz, RAM 256GB, and Storage NVMe SSD 2TB, which can dramatically enhance the speed of GPU rendering.  Most importantly, we always update to the latest GPU technology.

Why can iRender be a great render farm for you?

In addition to high-configuration servers, iRender provides many other utilities to provide the best user experience.

• Dedicated server for individuals: You have full control and access to the server you rent. The working environment (installed apps, files) will be stored for the next use.
• Easy and free file transfer between your computer and iRender’s server: The transferring task can be done via iRender GPU application for Windows and the iRender Drive application for MacOS.
• 24/7 assistance: iRender’s attentive agents are always ready to support all your queries.
• All software compatibility: iRender’s PCs are built to meet the configuration needs of all 3D software and rendering tools at a variety of cost levels for users to choose from.

Let’s see how fast it renders on our servers!

Currently, we have a promotion for new users. You will receive a 100% bonus for the first transaction within 24 hours of your registration. REGISTER NOW to get the free trial today—don’t miss out!

If you have any questions, please contact me at duongdt@irender.vn or our 24/7 support team for a quick response.

Thank you for reading & Happy New Year!

Source: Maxwellrender, Nextlimitsupport, Blender, Chaos, OTOY, Maxon, Autodesk, Intel, Linkedin, The pixel lab