Redshift Render | Chip Render Farm | Cheapest CPU & GPU Cloud Render Farm https://chiprender.com " Simple and fast cloud rendering solution " Fri, 01 Mar 2024 07:03:27 +0000 en-US hourly 1 https://chiprender.com/wp-content/uploads/2024/02/cropped-Chip-Logo-Favicon-1-32x32.png Redshift Render | Chip Render Farm | Cheapest CPU & GPU Cloud Render Farm https://chiprender.com 32 32 Best PC for Redshift https://chiprender.com/best-pc-for-redshift/ Wed, 31 Jan 2024 08:05:53 +0000 https://chiprender.com/?p=4548 Redshift is one of the best GPU render engines. What specs are required to run it effectively? Let's break down the Best PC for Redshift.

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Discover the Best PC for Redshift – CPU, GPU, and RAM Recommendations.

Redshift by Maxon is one of the best GPU render engines in the market. It offers an exceptional blend of speed, customization, and the capability to produce visually stunning renders. Yet, such power demands a corresponding level of performance from your hardware. The question arises: what specs are required to run Redshift effectively, and does your current hardware measure up?

In this post, Chip Render will break down the Best PC for Redshift – CPU, GPU, and RAM Recommendations.

Redshift System Requirements

Redshift seamlessly integrates with the industry’s leading 3D applications, providing a versatile solution that effortlessly fits into your production pipeline. Plus, you can seamlessly transition between various 3D platforms without incurring any additional costs for each integration. The latest Redshift version is available for:

  • Autodesk Maya (Windows, Linux, macOS): 64-bit, 2018 version or later.
  • Autodesk 3ds Max (Windows): 64-bit, 2018 version or later.
  • Maxon Cinema 4D (Windows, macOS, and Linux CommandLine): 64-bit, R21 version or later.
  • SideFX Houdini (Windows, Linux): 64-bit, 17.5 version or later.
  • SideFX Houdini (macOS): 64-bit, 18.0 version or later.
  • Foundry Katana (Windows, Linux): 64-bit, 4.0v1 version or later.
  • Blender (Windows, Linux): 64-bit, 2.83LTS version or later.

Best PC for Redshift - System Requirements

Image credit: Dima Flood

Let’s take a look at Redshift System Requirements taken from its official website.

Redshift System Requirements – Windows

Minimum Requirements Recommended Requirements
Operating system 64-bit Windows 10 and Windows 11
CPU (Processor) 64-bit processor with AVX2 support. Core i7 or Xeon equivalent or better, 3.0GHz+
RAM 16 GB 32 GB or more
GPU (Graphics card)
  • NVIDIA GPU with CUDA compute capability 5.0 or higher.
  • AMD “Navi” or “Vega” GPU or later.
  • RedshiftRT requires an Nvidia GPU with RTX capability on Windows 10 & 11.
  • Multiple NVIDIA GPUs with CUDA compute capability 7.0 or higher and RTX technology.
  • Multiple AMD GPUs (“Navi” series).
VRAM 8 GB 12 GB or more

Redshift System Requirements – macOS

Minimum Requirements Recommended Requirements
Operating system Apple macOS 12.6+ (Monterey) or 13.3+ (Ventura), 14.0+ (Sonoma, note macOS 14.x is not compatible with non Apple Silicon systems) The latest macOS 13 Ventura point release
CPU (Processor)
  • Intel: 64-bit processor with AVX2 support.
  • Apple “M” Series (M1, M2 & M3).
Apple “M” series.
RAM 16 GB 16 GB or more
GPU (Graphics card) AMD “Navi” or “Vega” GPU or later. Apple “M” series.
VRAM 8 GB 12 GB or more

Redshift System Requirements – Linux

Minimum Requirements Recommended Requirements
Operating system 64-bit distribution with glibc 2.17 or later
CPU (Processor) 64-bit processor with AVX2 support. Core i7 or Xeon equivalent or better, 3.0GHz+
RAM 16 GB or more 32 GB or more
GPU (Graphics card) NVIDIA GPU with CUDA compute capability 5.0 or higher.
  • Multiple NVIDIA GPUs with CUDA compute capability 7.0 or higher and RTX technology.
  • Multiple AMD GPUs (“Navi” series).
VRAM 8 GB 12 GB or more

Best PC for Redshift

When it comes to running Redshift, it is clear that Maxon lays out both the minimum and recommended system requirements for Windows, macOS, and Linux Operating Systems. However, it leans a bit more towards the minimum requirements rather than highlighting the optimal specs for the best performance.

Now, let’s delve into the key crucial hardware components that you need to focus on to build the best PC for Redshift.

Best CPU for Redshift

When it comes to Redshift GPU rendering, much like in other GPU-based engines, the CPU’s role in the rendering process is rather indirect. While it does have an impact on scene loading times, its influence is relatively modest in the overall rendering workflow. However, if your system multitasks, serving for both modeling or animation in applications like Cinema 4D, Maya, or 3ds Max, a CPU with a high clock speed is advisable to ensure optimal performance in these scenarios.

Beyond sheer performance, you should also consider the number of PCI-Express lanes supported by your CPU. This factor determines how many GPUs you can use in your rendering system. Since these graphics cards play the most important role in rendering performance in Redshift.

Redshift CPU rendering

Now, you can render with Redshift on your CPU, which is indeed a feature available in newer versions. However, it is primarily designed as a fallback for those with unsupported or very poor GPUs. It is also essential to note that the CPU renderer is markedly slower when compared to even lower-end GPUs.

If, however, circumstances require or you prefer maximizing Redshift CPU rendering performance, especially in situations where the GPU renderer is not viable, look for CPUs with multiple cores. CPUs such as the Threadripper Pro and Xeons are solid choices to handle the job effectively.

Our recommendations

Best PC for Redshift - CPU Recommendation

Best GPU for Redshift

Your GPU (graphics card) is the key factor for optimal rendering performance in Redshift. Faster GPUs mean better results, and you can use multiple GPUs to further accelerate your rendering speed. Two critical aspects of a GPU that impact its rendering capabilities are its raw speed and memory capacity (VRAM).

Video memory plays an important role in determining the size and complexity of scenes that can be effectively rendered. While Redshift supports “out of core” rendering, using system memory when GPU memory falls short, this does come at a speed cost. Hence, it is advisable to opt for graphics cards with lots of onboard RAM to avoid such compromises.

NVIDIA GeForce cards are known for their robust raw performance and decent video memory, offering a balanced solution. On the other hand, Quadro cards often provide larger VRAM capacities, but they come with a higher price for a similar level of raw performance.

Therefore, you should choose the right balance depending on your specific needs and budget considerations.

Our recommendations

Best PC for Redshift - GPU Recommendation

Best RAM for Redshift

Determining the ideal amount of RAM for your Redshift projects can vary based on their complexity. In terms of GPU rendering, including Redshift, we typically recommend a minimum of 32GB of RAM. This amount is generally sufficient for dedicated rendering setups. 

However, if you find yourself juggling multiple applications simultaneously, such as Maya, Cinema 4D, After Effects, and others, you might want to consider upgrading to 64GB or even more. This ensures smooth multitasking and allows you to seamlessly navigate between various resource-intensive applications.

Wrap up

Above, Chip Render has put together the key components of the Best PC for Redshift, from the CPU to the GPU and RAM.

Whether you are a seasoned user or just diving into the world of Redshift rendering, the Best PC for Redshift will empower you to make the most of this exceptional render engine. Let’s harness the full potential of Redshift together!

Chip Blog logoThe other good solution is to join Chip Render Farm and cut your render times several times with just a small investment from $2.9. With Chip Render, you have your own Cloud Workstation and leverage 1/2/4 x GPU RTX 3090 servers for rendering Redshift projects.

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Redshift Rendering Tips: Render faster in Redshift for C4D? (Part 2) https://chiprender.com/redshift-rendering-tips-part-2/ Fri, 26 Jan 2024 06:00:37 +0000 https://chiprender.com/?p=4265 Redshift Rendering Tip: Render faster in Redshift for C4D. From optimize your workflow to boost rendering speed, and overall efficiency.

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Discover Part 2 of “Redshift Rendering Tips: How to render faster in Redshift for Cinema 4D?”.

Continue previous Part 1, in this post, Chip Render will explore more useful Redshift Rendering Tips for rendering faster in Redshift in Cinema 4D.

Redshift Rendering Tip 1: Use automatic sampling

Traditionally, achieving optimal render speeds involved intricate setups with overrides, where manual tweaking of sample values was a necessary chore. However, the Automatic Sampling algorithm emerges as a game-changing solution, effortlessly navigating the delicate balance between noise reduction and rendering time. By simply toggling this feature on, you empower Redshift to take charge, often delivering superior results with unparalleled efficiency. This invaluable tool allows you to bid farewell to the laborious process of manual adjustments, saving you substantial time and sparing you with unnecessary hassles.

Redshift Rendering Tip sampling

Redshift Rendering Tip 2: Avoid Motion Blur, Caustics, and unnecessary AOVs

To speed up renders, you can consider using motion blur during post-production rather than directly in your render. Similarly, stay away from caustics, as these effects tend to be computationally intensive and can considerably slow down your rendering process.

Additionally, only rendering the essentials when creating AOVs for post-production work. Unnecessary AOVs can lead to prolonged render times.

Therefore, a wise approach involves rendering only what is indispensable for your specific project requirements. This wise choice not only streamlines your rendering process but also optimizes the overall efficiency of your Redshift workflow.

Redshift Rendering Tip 3: Enable Hardware Ray-Tracing

You can leverage the advanced capabilities of Nvidia RTX Graphics cards, like the RTX 3090 and RTX 4090, to optimize your Redshift rendering performance. Activating Hardware Ray-Tracing taps into the powerful hardware capabilities of your RTX Graphics card, enhancing the efficiency of ray-tracing processes.

Notably, this setting has no impact on the irradiance point cloud and irradiance cache GI. In such cases, it is recommended to utilize the Brute Force method for optimal results.

Redshift Rendering Tip basic render settings

Redshift Rendering Tip 4: Reduce Trace Depth

The next tip is adjusting the Trace Depth values to control the number of bounces calculated for different ray types in Redshift. By decreasing these values, you can effectively limit the computational load, leading to a faster rendering process.

It is important to note that this adjustment may result in a slightly darker scene due to the reduced number of bounces. To further optimize, you can turn off unnecessary rays such as Volume and Transparency, and experiment with minimizing Reflective and Refractive bounces.

This approach allows you to tailor the trace depth settings to the specific requirements of your scene, striking a balance between rendering speed and scene brightness.

Redshift Rendering Tip 5: Use Cut-off Thresholds

You can speed up your renders by using Cut-Off-Thresholds in the Optimizations Tab. Increasing cut-off thresholds allows you to terminate rays sooner during the rendering process, which significantly improves speed, but at the cost of adding more noise into the image.

To reduce the noise, you can either increase the number of samples or use the denoising method. This tip offers a practical way to adapt your render settings based on your specific project requirements, achieving a balance between rendering speed and the desired level of image clarity.

Redshift Rendering Tip 6: Increase the Bucket Size

You can optimize your renders by adjusting the bucket size setting. A larger bucket size can contribute to faster renders. However, it requires more VRAM. Therefore, ensure that your graphics card can accommodate the chosen bucket size.

Maxon advises against using the smallest bucket size setting of 64 for GPU rendering, as it may fail to effectively use the GPU processor. Similarly, if you have multiple GPUs, refrain from selecting the largest bucket size of 512, as this can lead to similar inefficiencies. Striking the right balance in bucket size can significantly impact rendering speed while maximizing your hardware’s capabilities.

Redshift Rendering Tip 7: Optimize Your Redshift Preferences

To enhance your rendering speed, it is crucial to optimize your Redshift preferences. In the Preferences menu, selectively choose only your GPUs from the Devices list. Avoid using Hybrid Rendering, as sharing the load with your CPU can lead to a slowdown in renders. Additionally, deactivate Material Previews to further streamline your workflow, preventing unnecessary delays.

By customizing these settings to align with your GPU capabilities and rendering needs, you can ensure a more efficient and faster rendering process in Redshift for Cinema 4D.

Redshift Rendering Tip Redshift preferences

Redshift Rendering Tip 8: Localize your textures from the Asset Database

Another tip for streamlining your Redshift rendering process is optimizing the localization of your textures, particularly if you are using materials from the Cinema 4D Asset Database. To enhance efficiency, relocate the textures to your local tex folder using the Project Asset Inspector.

This step is essential because Redshift may encounter challenges when working with files directly from a database. By localizing your textures, you can significantly improve the compatibility and performance of Redshift, ensuring a smoother rendering experience in Cinema 4D.

Extra Tip: Leverage Chip Render - a cloud render farm

Furthermore, optimizing Redshift rendering performance extends beyond local optimizations. A great approach is to employ a cloud render farm, such as Chip Render, to maximize the capability of cloud rendering.

Chip Render accelerates the rendering process, enabling you to distribute the computing strain to remote servers. This not only speeds up rendering times but also frees up your local workstation for other jobs.

With Chip Render’s user-friendly interface and support, you can effortlessly integrate cloud rendering into your workflow, resulting in faster and more effective Redshift rendering for your Cinema 4D projects.

Chip Blog logoJoin Chip Render Farm and cut your render times several times with just a small investment from $2.9. With Chip Render, you have your own Cloud Workstation and leverage 1/2/4 x GPU RTX 3090 servers for rendering Redshift projects.

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Redshift Rendering Tips: Render faster in Redshift for C4D? (Part 1) https://chiprender.com/redshift-rendering-tips-part-1/ Wed, 24 Jan 2024 10:06:40 +0000 https://chiprender.com/?p=4252 Redshift Rendering Tip: Render faster in Redshift for C4D. From optimize your workflow to boost rendering speed, and overall efficiency.

The post Redshift Rendering Tips: Render faster in Redshift for C4D? (Part 1) appeared first on Chip Render Farm | Cheapest CPU & GPU Cloud Render Farm.

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Discover Part 1 of “Redshift Rendering Tips: How to render faster in Redshift for Cinema 4D?”.

Redshift is a powerful GPU-accelerated renderer for Cinema 4D. If you want to supercharge your Redshift for Cinema 4D rendering experience, this post is for you.

Chip Render will explore a variety of tips that will elevate your Redshift rendering game in Cinema 4D. From optimizing your workflow to boosting rendering speed, and enhancing the overall efficiency of your projects.

Redshift Rendering Tip 1: Update Cinema 4D, Redshift, and GPU Drivers

Keeping your software and drivers up-to-date is the first step toward optimizing your rendering workflow in Redshift for Cinema 4D. Regularly updating Cinema 4D, the Redshift renderer, and your GPU drivers ensures that you are benefiting from the latest enhancements, bug fixes, and performance optimizations.

The developers continually refine and optimize these tools to enhance compatibility with the latest hardware and software advancements. By staying current with updates, you not only unlock new features but also ensure a smoother and more efficient rendering process. Make it a habit to check for updates regularly, as this simple step can significantly improve the overall speed and stability of your Redshift rendering.

It is now very easy to update Cinema 4D and Redshift within one Maxon app. Plus, you can use the Nvidia GeForce Experience App to update your drivers.

Redshift Rendering Tip update software and driver

Redshift Rendering Tip 2: Close unnecessary programs

While rendering, it is advisable to close any unnecessary programs running in the background. Resource-intensive applications can take up significant system resources, reducing the performance of both Cinema 4D and the Redshift renderer. By closing unused programs, you free up more RAM and processing power for your Redshift rendering tasks.

This simple but effective tip helps optimize your system resources, allowing Redshift to fully utilize your computer’s capabilities. Additionally, it minimizes the risk of potential conflicts or interruptions during the rendering process, resulting in a smoother and faster workflow.

Redshift Rendering Tip 3: Optimize your scenes

Scene optimization is essential for accelerating your rendering workflow. You can reduce unnecessary complexities of your scenes by:

  • Minimize the number of polygons used.
  • Cache, Bake or Convert Dynamics to Alembic.
  • Do not use extremely high-resolution textures.
  • Store all assets locally rather than on a server or in the Asset Database.
  • Postpone Rendering of Clones and Displacement until render time in Redshift.
  • Avoid resource-intensive features such as Motion Blur, Depth of Field, Displacement, Volumes, and Caustic effects as well as Materials with Transmission and Subsurface settings if possible.

By optimizing your Cinema 4D scenes, you not only improve rendering performance but also streamline the entire creative process, allowing Redshift to handle your projects with greater speed and efficiency.

Redshift Rendering Tip 4: Use and Optimize Renderview

Leveraging the RenderView is very helpful when you want to achieve faster render times in Redshift for Cinema 4D. The Progressive renderer, rather than the IPR, should be your go-to tool for refining scenes before the final render. To enhance efficiency, explore features like the Render Region Tool, which allows you to focus on specific areas of interest, and use Freeze Tessellation and Geometry Updates judiciously. Additionally, consider rendering the smallest window possible by setting the scale to Fit Window. For smoother navigation within your scene, adjust the IPR Undersampling under ‘View’ to 5.

By maximizing the capabilities of the Redshift RenderView and incorporating these optimizations, you will not only streamline your workflow but also achieve accelerated rendering results.

Redshift Rendering Tip renderview

Redshift Rendering Tip 5: Reduce Progressive Passes

Another effective tip for speeding up your rendering process in Redshift for Cinema 4D is reducing the Progressive Passes. By reducing the Passes to 32 or even 16, you significantly accelerate the calculation time while freeing up valuable GPU resources for other tasks. While the lower sample count may bring some noise into the image, you can easily use denoising to clean up the preview.

This optimization not only speeds up your workflow but also offers a practical solution to achieve a faster render without compromising the overall quality of your final output.

Redshift Rendering Tip basic render settings

Redshift Rendering Tip 6: Denoise your image

With denoising in Redshift for Cinema 4D, you can enhance the visual quality of your renders while maintaining efficiency. Leveraging the OPTIX and OIDN denoising in Progressive mode effectively cleans up noise, resulting in a smoother and polished appearance. To further optimize your workflow, consider adjusting the Overhead setting to 0, which enables the denoising operation to take place after the render has fully completed. This is the fastest approach.

In Bucket mode, you can use all four denoising techniques. However, Altus Single and Dual stand out for their ability to retain intricate details but are slower to calculate.

To achieve a better-looking image, consider increasing the number of samples instead of denoising. While this may increase render time, we believe it is worth it.

Redshift Rendering Tip denoising

Redshift Rendering Tip 7: Increase unified sampling value

For an accelerated preview experience in Bucket rendering mode, you can adjust the unified sampling value to 1 or above. This proves invaluable when fine-tuning materials and lighting, providing a more interactive rendering process. However, you need to revert the unified sampling value to 0.01 or lower before starting your final render. This eliminates any noise artifacts and delivers a crisp and refined image, striking the right balance between efficiency and the pursuit of visual excellence.

Redshift Rendering Tip sampling

Extra Tip: Leverage Chip Render - a cloud render farm

In addition, improving Redshift rendering time goes beyond local optimizations. A great solution is to use a cloud render farm such as Chip Render and harness the power of cloud rendering.

Chip Render speeds up the rendering process, allowing you to offload the computational load to remote servers. This not only accelerates rendering times but also frees up your local machine for other tasks.

With Chip Render’s user-friendly interface and support, you can seamlessly integrate cloud rendering into your workflow, ensuring faster and more efficient Redshift rendering for your Cinema 4D projects.

Chip Blog logoJoin Chip Render Farm and cut your render times several times with just a small investment from $2.9. With Chip Render, you have your own Cloud Workstation and leverage 1/2/4 x GPU RTX 3090 servers for rendering Redshift projects.

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