September 19, 2021 Jenny Ha

Cinema 4D and V-Ray GPU Performance Scaling With iRender Cloud Rendering

Chaos Group has two different versions of their rendering engine: (1) V-Ray Next CPU and (2) V-Ray Next GPU (previously V-Ray Adv and V-Ray RT, respectively). The first is a CPU-based rendering engine that benefits greatly from having a high number of CPU cores. In fact, it scales almost perfectly with more cores which makes a high core count CPU – and even configurations with multiple physical CPUs – excellent for performance. For that version, we strongly recommend a dual CPU configuration.

On the other hand, V-Ray Next GPU (V-Ray RT) uses GPUs – as the name indicates – to perform the rendering calculations. In October 2020, V-Ray 5 for Cinema 4D was released. In the article today, we will focus on the advancement of the new technology century, V-ray Next GPU to find out the best solution bringing quality and high-speed to your rendering with V-Ray and Cinema4D.

The Best Processor for V-ray

Starting in V-Ray 3.6 the CPU can be used alongside the GPUs to further boost rendering speed. Chaos Group calls this Hybrid Rendering, so if you are using 3.6 or higher the CPU should still be a factor that affects your render process.

At first glance, this makes sense because the CPU does help speed up some parts of the rendering process, such as scene preparation (load files) but not many 3D artists know this fact. Technically, there are two factors that you should consider when choosing CPU:

  • You should go for a max-core-clock CPU. For example, the Xeon W-2245 that clocks at 3.9 GHz (4.7 Ghz Turbo) or the AMD Ryzen 9 5900X that clocks at 3.7 Ghz (4,8 Ghz Turbo).
  • Besides, another important factor is the PCIe-Lanes because GPUs are connected to the CPU via PCIe-Lanes on the motherboard. Different CPUs support a different number of PCIe-Lanes. Top-tier GPUs usually need 16x PCIe 3.0 Lanes to run at full performance without bandwidth throttling.
Processor AMD Ryzen 9 5900X Intel Xeon W-2245
Family Ryzen 9 5000 Xeon W-2200
Cores 12 8
Threads 24 16
Base frequency 3.7 GHz 3.9 GHz
Turbo frequency 4.8 GHz 4.7 GHz
Cache memory 64 MB 16.5 MB
Max memory capacity 128 GB 1 TB
Max memory bandwidth 47.68 GB/s 93.85 GB/s
Max PCIe lanes 20 48

In the table above, we found that Xeon W-2245 has 48 PCle lanes while AMD Ryzen 9 5900X  offers 20 PCle lanes. Both of them meet the requirements of Top-tier GPUs for Vray and Cinema4D, with a slight advantage of Xeon W-2245.

GPU Rendering in Vray & Cinema4D

1. NVIDIA or AMD GPU?

V-Ray does have the option to utilize OpenCL which means that you can use AMD cards for rendering. However, we typically recommend using NVIDIA-based cards due to two reasons.

  • First, we have found them to be more reliable overall – especially for consistently heavy tasks like rendering.
  • Second, OpenGL mode only exists in some versions for use with AMD graphics cards, but the main focus is on the CUDA mode for NVIDIA cards. For example, the new Hybrid Rendering mode (CPU + GPUs) in V-Ray 3.6 only works with CUDA mode, which requires NVIDIA graphics cards. Users using AMD will not get the embree acceleration because that’s an NVIDIA bonus

When the engine is set to V-Ray GPU with RTX enabled, V-Ray GPU uses the RT Cores in NVIDIA RTX GPUs. Render speed is primarily determined by the number of CUDA cores (the more the better) and the GPU’s clock speed.

With up to 18X faster rendering than CPU-based solutions and enhanced performance with NVIDIA NVLink™, V-Ray Next GPU with RTX support provides incredible performance improvements for your rendering workloads. 

2. The best GPU for Vray and Cinema4D

Here is the chart showing the performance of some NVIDIA GPUs:

Source: pugetsystems.com

In the chart above, NVIDIA’s RTX 3090 is twice as fast as the RTX Titan, which was the top consumer video card from the last generation, while costing $1000 less and maintaining the same amount of VRAM. Moreover, the RTX Titan was only available from NVIDIA with their dual-fan cooling solution, meaning it could not be used effectively in multi-GPU configurations. Similarly, some Quadro GPUs offer larger amounts of VRAM but also cost far more for the same level of raw performance of GeForce cards.  As such, we recommend the NVIDIA Geforce series if V-ray is your primary application.

  • RTX 3070 8GB – As a budget option this card is quite impressive, beating all previous-gen cards, but for the additional $200 the RTX 3080 is definitely more appealing with ~30% faster rendering and 20% more VRAM unless it just doesn’t fit in your budget.
  • RTX 3080 10GB – This card is more affordable and offers better rendering performance-per-dollar if you consider the card alone. However, its lower amount of VRAM (compared to the RTX 3090) may limit the complexity of scenes you can render and it lacks NVLink support as well.
  • RTX 3090 24GB – This card is about 20% faster for rendering than the RTX 3080, with 140% more onboard memory and support for NVLink. That means it will be much better suited to working with large scenes and detailed geometry.

3. Multi-GPUs support

The GPU-accelerated version of V-Ray is able to utilize multiple GPUs and does so very effectively. It will not be a perfect “4 GPUs is 4x faster”, but you can expect significant performance improvements with every card you add. However, since V-Ray is using the cards for compute purposes they do not need to be in SLI mode.

Source: pugetsystems.com

There is one main thing I see as take-aways from these results:

Running multiple GeForce RTX 30 Series video cards provides excellent scaling in V-Ray Next GPU. Looking just at the results of secondary cards, we can see that stacking a few of those will give fantastic rendering performance. It is almost perfect scaling from 1 -> 2 – > 3 GPUs. Especially, scaling from a second video card is still respectable – in the range of 83 to 93% improvement. This mirrors what we have seen in some other GPU rendering engines, like OctaneRender.

That’s the reason we recommend using at least 2 GPUs for V-ray and Cinema4D to get the best performance.

The Professional Cloud Rendering For Vray Next GPU & Cinema4D

iRender is a Professional GPU-Acceleration Cloud Rendering Service provider in PC optimization for rendering tasks, CGI, VFX with over 20.000 customers and being appreciated in many global rankings (e.g. CGDirector, Lumion Official, Radarrender, InspirationTuts CAD, All3DP). Based on the above analysis, we provide a specific server for Vray: Processor Xeon W-2245 CPU with a high clock speed of 3.9 GHz– 4.7GHz and 512 GB SSD to load your scene fast. This server comes with 4x  NVIDIA RTX 3080/ 3090 and a VRAM capacity up to 24GB.

Incredibly, iRender supports NVLink (Request) which helps you increase the amount of VRAM to 48GB

Why you should choose iRender for Multi-GPU V-Ray Next & Cinema4D?

1. Minimized risk

A multi-GPU workstation, especially the RTX 30 Series, draws more power under load than its predecessors. They do require a larger chassis, a strong power supply, and plenty of airflow from the case fans.

Your local computers can overheat or shut down during the rendering process. However, this will never happen if you choose iRender render farm as we officially upgrade the Data Center to Tier III international standard. (a globally recognized standard for data center reliability and overall performance)

2. Cheapest price

Investing $3000 for a graphics card, >10.000 USD for using Multi-GPU, not to mention the costs of compatible factors  to build a computer, is also very expensive. This is such a big investment for single individuals or freelancers or even small studios. 

At iRender, you can start at 3.8 USD to use the beast RTX 3090. You can rest assured that our pricing schemes are the cheapest you have ever found, with rates three times lower than that of other solutions. Besides our hard-to-beat prices, we also offer generous volume discounts, which provide you with credit bonuses depending on how much you top up. Moreover, you can always save up to 40% with our daily/ weekly/monthly rental

3. Easy to use

Normally, most render farms use Farm Manager – the supplier’s farm management tool. However, rendering can also be canceled just due to a lack of material warning. This problem happens because the automatic system could not understand the settings of V-ray files.

Unlike other render farms , iRender provides you a powerful machine with up-to-date NVIDIA GPUs, then users will remotely connect and take full control of it. Using our remote PC  is no different from your local PC. You can install any plugin you want.

4. Support 24/7

iRender has a great number of enthusiastic staff that are always ready to support you 24/7. Whenever you have trouble using our server, or even with your software, we – iRender Support Team are always there to help you solve your problem. 

Render failure? You do not need to waste your time asking forums or waiting for days from Chaos Group support. We support you 24/7. We believe the quality of support we provide is as vital as the technology we deliver. We provide unmatched support tailored to your specific needs and goals.

5. Free Transferring Files

iRender is one of a few render farms providing a unique transfer file tool, without having to access a third party for transferring data. With this tool called GpuHub- Sync, you can upload your data even when the remote server is turned off and it will automatically sync to the remote servers and vice versa. 

  • We provide storage space of up to 1TB.
  • It is completely free.
  • No subscription fee to store your data.

Conclusion

We often have attractive promotions to thank our beloved customers. SPECIAL OFFER for this September: Get 50% BONUS for all newly registered users. Let’s CHECK IT OUT!

If you have any questions, please do not hesitate to reach us via Whatsapp: +(84) 981-868-890. We will be ready to help you in any way!  Become a member of the iRender community today to stop wasting pointless hours of rendering. Always at the forefront of cutting-edge graphics technology, we do the rendering, the creativity is yours!

iRender – Happy Rendring!

Source: pugetsystems.com

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Jenny Ha

Greeting everyone. I always hope to know more about 3D artists and share benefit information with them :)
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