Speed Improvement
Many modern rendering systems are suitable for GPU software and hardware, which are designed for large-scale parallel tasks and can provide better overall performance.
.png)
GPU Rendering Server, Rendering Graphic Cards Hosting, RTX Rendering
By using a GPU rendering server, users can save time and resources compared to traditional CPU-based rendering methods, as GPUs can perform the same tasks much faster. The service is accessible from anywhere with an internet connection, making it an ideal solution for professionals in fields such as architecture, film and video production, product design, and more.
Best Rendering GPU Server Rental Pricing
This service allows users to tap into the parallel processing power of GPUs to create stunning 3D animations, visual effects, and other high-quality graphics with speed and efficiency.
Christmas Sale
Basic GPU-GTX 1660
$ 97.30/m
Save 30% (Was $139.00)
1M3M12M24M
Order Now- 64GB RAM
- Dual 10-Core Xeon E5-2660v2report
- 120GB + 960GB SSD
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia GeForce GTX 1660
- Microarchitecture: Turing
- Max GPUs: 1
- CUDA Cores: 1408
- GPU Memory: 6GB GDDR6
- FP32 Performance: 5.0 TFLOPSreport
Advanced GPU-RTX 3060 Ti
$ 209.00/m
1M3M12M24M
Order Now- 128GB RAM
- Dual 12-Core E5-2697v2report
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: GeForce RTX 3060 Ti
- Microarchitecture: Ampere
- Max GPUs: 2report
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPSreport
Advanced GPU-A4000
$ 209.00/m
1M3M12M24M
Order Now- 128GB RAM
- Dual 12-Core E5-2697v2report
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A4000
- Microarchitecture: Ampere
- Max GPUs: 2report
- CUDA Cores: 6144
- Tensor Cores: 192
- GPU Memory: 16GB GDDR6
- FP32 Performance: 19.2 TFLOPSreport
Advanced GPU-A5000
$ 269.00/m
1M3M12M24M
Order Now- 128GB RAM
- Dual 12-Core E5-2697v2report
- 240GB SSD + 2TB SSD
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A5000
- Microarchitecture: Ampere
- Max GPUs: 2report
- CUDA Cores: 8192
- Tensor Cores: 256
- GPU Memory: 24GB GDDR6
- FP32 Performance: 27.8 TFLOPSreport
Enterprise GPU-RTX A6000
$ 409.00/m
1M3M12M24M
Order Now- 256GB RAM
- Dual 18-Core E5-2697v4report
- 240GB SSD + 2TB SSD + 2TB NVMe
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: Nvidia Quadro RTX A6000
- Microarchitecture: Ampere
- Max GPUs: 1
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPSreport
New Arrival
Multi-GPU-RTX 3060 Ti
$ 369.00/m
1M3M12M24M
Order Now- 256GB RAM
- Dual 18-Core E5-2697v4report
- 240GB SSD + 2TB SSD + 2TB NVMe
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: 3 x GeForce RTX 3060 Ti
- Microarchitecture: Ampere
- Max GPUs: 3report
- CUDA Cores: 4864
- Tensor Cores: 152
- GPU Memory: 8GB GDDR6
- FP32 Performance: 16.2 TFLOPSreport
Enterprise GPU-RTX 4090
$ 409.00/m
1M3M12M24M
Order Now- 256GB RAM
- Dual 18-Core E5-2697v4report
- 240GB SSD + 2TB SSD + 2TB NVMe
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: GeForce RTX 4090
- Microarchitecture: Ada Lovelace
- Max GPUs: 1
- CUDA Cores: 16,384
- Tensor Cores: 512
- GPU Memory: 24 GB GDDR6X
- FP32 Performance: 82.6 TFLOPSreport
New Arrival
Multi-GPU-RTX A6000
$ 899.00/m
1M3M12M24M
Order Now- 256GB RAM
- Dual 18-Core E5-2697v4report
- 240GB SSD + 2TB SSD + 2TB NVMe
- 100Mbps-1Gbpsreport
- OS: Windows / Linux
- GPU: 3 x Quadro RTX A6000
- Microarchitecture: Ampere
- Max GPUs: 3report
- CUDA Cores: 10,752
- Tensor Cores: 336
- GPU Memory: 48GB GDDR6
- FP32 Performance: 38.71 TFLOPSreport
More GPU Hosting Plansarrow_circle_right
8 Reasons of Choosing GPU Rendering Server
Scalability
Many GPU servers support adding multiple GPU cards to adapt to high computing power needs. At GPU Mart, each GPU server supports up to two GPU cards.
Cost Reduction
Purchasing GPU cards needs to pay more fees at one time and can not be expanded at will. To meet increasing computing power needs, you can choose to rent GPU servers to reduce the hardware cost.
Driver Updates
The GPU relies on driver updates to ensure compatibility with new hardware. Professional GPU hosting services ensure that your 3D software is always compatible with the GPU server.
24/7/365 Free Tech Support
GPU server hosting experts provide high-quality managed technical services around the clock through live chats and emails. Most issues can be well taken care of within one hour or less.
High-Performance 3D Rendering
Rendering graphic cards give full play to their extreme performance and have the characteristics of high parallelism, high throughput, and low delay. GPU Rendering Server is the same as a dedicated server.
USA Data Centers
Multiple data centers in the USA allow the ultimate speed experience, and we are still expanding our locations. Choose the suitable GPU server rental service and run servers closer to you and your visitors.
GTX & RTX Rendering
GPU Mart provides dedicated servers with professional and consumer GPUs. From GTX to RTX Rendering, a large number of GPU models are available, which are cheap and cost-effective.
Dedicated GPU Benchmark Scores from OctaneBench
Benchmark Score does not always grow linearly. The rendering speed of two GPUs is improved by about 1.9 times. Having 4 GPUs sometimes increases rendering speed by about 3.6 times.
Multiple Render Engines Supported by GPU Dedicated Servers
GPU servers support many render Engines. You can run a variety of apps including the following.
How to Select a Rendering Dedicated Server
SSD Storage
We use SSDs as the main drives that host your operating system and install Octane Render and other software. We will provide you with an extra SSD, which can also be used to reduce the load time further.
Memory
Although the amount of RAM you need will depend on your particular project, for OctaneRender (and general GPU rendering), we generally recommend at least 32GB, usually more.
GPU Memory
If your scene is too large to fit into your GPU memory, the GPU rendering engine will need to access your system's RAM or even exchange it to disk, which will greatly reduce the rendering speed.
Power Supply
We ensure that you get enough power for your system. The typical power consumption of most GPUs is about 180-250W. We use two transformers with a capacity of 3500 kVA to expand to 10MW.
CUDA Cores
Each CUDA core is performing a specific task, while its neighboring cores are trying to render other graphics. This creates an efficient system, in which no core is waiting for another core to complete its work, so the more CUDA cores, the better.
Benchmark Scores
A benchmark is simply a test that helps you compare similar products. Each of our benchmarks produces a score. The higher the score, the better the performance.
RTX for GPU Octane Render Server
The NVIDIA RTX platform has the fastest GPU rendering solution available today. By connecting NVIDIA RTX Or NVIDIA Quadro RTX graphics card with a combination of technology applications, designers and artists from all walks of life can introduce the most advanced rendering technology into their professional workflow.
DLSS Helps Octane Render Generate Clearer Images
DLSS represents deep learning supersampling. After rendering the game at a lower resolution, DLSS will infer information from its super-resolution image training knowledge base to generate an image that still looks like it is running at a higher resolution. The idea is to make a 1440p game look like 1440p when running a 4K or 1080p game.
FAQs of Best Rendering Dedicated Server Rental
A list of frequently asked questions about GPU servers for rendering.
Is RTX better than GTX in rendering?
Yes, Nvidia's RTX GPU performs better than GTX GPU in GPU rendering. The reason is simple: RTX GPUs not only are higher level and more expensive GPUs, but also have better performance than Nvidia's GTX series. They also have a ray-tracing core, which can additionally improve the rendering performance of the supporting engine.
What usually to be expected from a rendering GPU server?
People usually expect the equipped GPU to have as many CUDA cores and VRAM as possible. The time required to render the average frame on the GPU is almost inversely proportional to the number of CUDA cores owned by the GPU. Having many CUDA cores allows your server to render your projects fast.
What is the biggest difference between consumer GPUs and professional GPUs?
The biggest difference between consumer GPUs and professional GPUs is software.
Nvidia's Quadro card and AMD's FirePro card are optimized specifically for high-end productivity applications, with extremely comprehensive compatibility guarantees with leading industry applications.
The main motivation for obtaining Quadro RTX card is enhanced 3D software support, stability and ECC RAM support.
Nvidia's Quadro card and AMD's FirePro card are optimized specifically for high-end productivity applications, with extremely comprehensive compatibility guarantees with leading industry applications.
The main motivation for obtaining Quadro RTX card is enhanced 3D software support, stability and ECC RAM support.
Is GPU rendering server better than CPU rendering?
Modern GPUs provide better processing power and memory bandwidth than traditional CPUs. In addition, GPU is more efficient in processing tasks that require multiple parallel processes. In fact, GPU rendering is about 50 to 100 times faster than CPU rendering.
What is the best rendering GPU server?
It depends on the CUDA Cores, VRAM, and benchmark scores. Generally speaking, the higher the CUDA Core, VRAM, and benchmark scores, the better the performance of GPU in rendering. For the GPU server hosting, power supply, technical support, uptime, scalability, and other factors should also be considered.
Do I need RTX Rendering?
Nvidia's "Turing" architecture is the first to introduce RTX, which brings some new functions on top of the CUDA kernel (that is, RT and Tensor cores). In consumer GPUs, the Tensor kernel is used to implement DLSS (Deep Learning Supersampling) and other functions. It uses AI to improve image quality.
For professional purposes, the Tensor kernel can take advantage of its outstanding FP16/FP32 and INT4/8 functions, which makes them ideal choices for neural networks, deep learning, AI, etc.RT Core can also greatly speed up your rendering, at least in supported rendering engines. For example, Octane and Redshift are working on the implementation of RayTracing Core.
For professional purposes, the Tensor kernel can take advantage of its outstanding FP16/FP32 and INT4/8 functions, which makes them ideal choices for neural networks, deep learning, AI, etc.RT Core can also greatly speed up your rendering, at least in supported rendering engines. For example, Octane and Redshift are working on the implementation of RayTracing Core.
What can I do with GPU rendering server?
With a GPU rendering server, users can access the latest hardware and software technologies without having to invest in expensive equipment or manage a physical server. They only pay for the time they use the GPU, making it a cost-effective solution for many types of compute-intensive workloads.
Contact Us and Get a 3-Day Trial Now!
Leave us a note when purchasing, or contact us to apply a trial GPU server. You have enough time to test the performance, network latency, compatibility, multiple instance capacity, etc.
Recommend Friends, Get Credits
$20 will be credited to your account once you recommend a new client to purchase servers. Rewards can be superimposed.