GPU Farm, High-Performance GPU Render Farm

Rent a GPU farm from GPUMart at affordable prices to speed up your deep learning, machine learning, 3D rendering, and other GPU-intensive projects. Our GPU server farm is designed for high-performance demands, providing the most advanced NVIDIA GPU solutions to help your business grow rapidly.

Rent HPC GPU Servers for Building Your Own GPU Farms

In modern computational tasks, whether it's deep learning, scientific computing, or graphics rendering, the powerful computational capabilities of GPUs are indispensable.

Enterprise GPU Dedicated Server - RTX 4090

409.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: GeForce RTX 4090
  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6 TFLOPS
  • Perfect for 3D rendering/modeling , CAD/ professional design, video editing, gaming, HPC, AI/deep learning.

Enterprise GPU Dedicated Server - RTX A6000

409.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A6000
  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS
  • Optimally running AI, deep learning, data visualization, HPC, etc.

Multi-GPU Dedicated Server - 3xV100

469.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: 3 x Nvidia V100
  • Microarchitecture: Volta
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPS

Multi-GPU Dedicated Server - 3xRTX A5000

539.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: 3 x Quadro RTX A5000
  • Microarchitecture: Ampere
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8 TFLOPS

Multi-GPU Dedicated Server - 3xRTX A6000

899.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: 3 x Quadro RTX A6000
  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS

Multi-GPU Dedicated Server- 2xRTX 4090

729.00/mo
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  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: 2 x GeForce RTX 4090
  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24 GB GDDR6X
  • FP32 Performance: 82.6 TFLOPS
  • Good alternative to 2xRTX 3090, 2xRTX A6000, L40.

Multi-GPU Dedicated Server - 8xV100

1499.00/mo
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  • 512GB RAM
  • Dual 22-Core E5-2699v4
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: 8 x Nvidia Tesla V100
  • Microarchitecture: Volta
  • CUDA Cores: 5,120
  • Tensor Cores: 640
  • GPU Memory: 16GB HBM2
  • FP32 Performance: 14 TFLOPS

Multi-GPU Dedicated Server - 4xA100

1899.00/mo
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  • 512GB RAM
  • Dual 22-Core E5-2699v4
  • 240GB SSD + 4TB NVMe + 16TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: 4 x Nvidia A100
  • Microarchitecture: Ampere
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 40GB HBM2e
  • FP32 Performance: 19.5 TFLOPS

What's GPU Farm?

The term GPU farm is less formal and more colloquial, often used to describe large-scale deployments of GPUs specifically tailored for intensive, repetitive tasks. The emphasis here is on the sheer number of GPUs working in parallel to crunch through massive datasets or perform continuous, high-volume computations. GPU farms are commonly associated with applications such as cryptocurrency mining, where the goal is to maximize the computational output for profit. They might lack the sophisticated workload management and diversity seen in clusters but excel in raw computational throughput for specific, narrow tasks.

There are three main advantages of GPU farm:

High Availability and Reliability

Due to its distributed nature, a GPU farm provides high availability. If one GPU fails, other GPUs in the farm can take over the workload, ensuring continuous operation.

Efficient Resource Utilization

GPU farms can balance the load across multiple GPUs, optimizing the usage of available resources. This prevents underutilization and ensures that computational power is efficiently employed.

Ease of Management

Modern GPU farms often use advanced management tools and automation, simplifying the deployment and monitoring of GPU tasks. This reduces the need for manual intervention and improves operational efficiency.

How to Choose a GPU Render Farm?

Choosing a GPU render farm involves considering various factors to ensure it meets your specific needs for rendering tasks, whether for 3D animation, visual effects, or scientific simulations. Here are some key points to consider when selecting a GPU render farm:
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Software Compatibility

Ensure the render farm supports the 3D software and plugins you use.
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Pricing

Compare pricing models to find the most cost-effective option for your needs.
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Performance

Look for farms with high-performance GPUs and a good track record of speed and reliability.
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Support

Check for customer support availability and the responsiveness of the service provider.
Efficiency

Efficiency

Faster rendering times mean quicker project turnaround.
Quality

Quality

Higher quality renders with complex details and effects can be achieved without compromising on time.
Resource Management

Resource Management

Frees up local resources for other tasks, allowing for multitasking.
Collaboration

Collaboration

Facilitates collaborative work by allowing multiple users to access and utilize the render farm simultaneously.

Benefits of Using GPU Render Farms

Using a GPU render farm offers several significant benefits, especially for tasks that require intensive computation such as 3D rendering, visual effects, and scientific simulations. Here are some key benefits:

Key Features of GPU Render Farms

High Performance

High Performance

Equipped with powerful GPUs like NVIDIA RTX A6000, A100, etc., which are optimized for rendering tasks.
Scalability

Scalability

Can scale up resources based on the rendering workload, allowing for multiple rendering tasks to be processed in parallel.
Speed

Speed

Significantly reduces rendering times compared to using local machines, thanks to the parallel processing capabilities of multiple GPUs.
Cost-Effectiveness

Cost-Effectiveness

Pay-as-you-go pricing models allow users to only pay for the resources they use, making it cost-effective for small and large projects alike.
Accessibility

Accessibility

Accessible from anywhere via the cloud, providing flexibility for remote teams and freelancers.

Contact Us Now

Contact us now to learn more about our GPU server farm, and let our high-performance GPU solutions propel your business forward!
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