GPU Render Farm
NVIDIA Tesla M40 GPU Render Farm
Video rendering, HPC, Deep Learning are time and compute-intensive. These tasks require substantial investments on hardware/software along with IT team to maintain the infrastructure. GPU server is an effective solution for companies that are willing to save money on building their own IT infrastructure.
Cloud4Y render farm (GPU cloud) consists of Tesla M40 high-performance graphics accelerators. This server solution is targeted at Artificial Intelligence and other types of computing including Deep Learning training, Machine Learning, training Neural Networks.
Render farm configuration (NVIDIA GPU Cloud): 8 X NVIDIA GRID Tesla M40 GPUs
8 X 12GB (96GB) RAM video memory
Intel Xeon processor E5-2699 V4, CPU 44 cores, 128GB RAM.
NVIDIA Tesla M40 vs GeForce GTX 1080 Ti
| Options | M40 | 1080 Ti |
|---|---|---|
| Use | Workstation --> server | workstation |
| Continued operation 24х7 | Yes | No |
| Function | Deep learning, machine learning, neural network training, AI | card for gaming |
| Support for virtualization environment | Yes (supports GPUDirect) | No |
| Scalable performance | Yes (supports GPUDirect) | No |
| Fault-tolerant system operation | Yes (Cloud4Y infrastructure SLA 99.982%) | No |
GPU server rental service
Take advantages of advanced, powerful, affordable render farm GPU for your needsThe most significant advantage of any GPU render farm is its exceptionally high rendering performance. The more processing power you can apply at a rendering task the quicker that task can be completed. The performance of the system allows to offer the end user a high-quality product faster.
Cloud4Y offers latest generation graphic cards from Nvidia. Tesla M40 is the fastest accelerator for deep learning or rendering large collections of objects. With our GPU Accelerated Virtual Desktop solution your applications and workstations will gain tremendous performance.
Please note! Your software must support a specific graphics card to perform the required tasks. Applications that only access the graphics card used by default on the system will not be compatible with vGPUs. We recommend using software that can access graphics cards from those in the operating system.
GPU Rendering with Cloud4Y solutions
As there is growing demand for high quality content, designers and artists need advanced technologies that can provide photorealistic rendering of cinematic-quality characters, objects and environments. The CPU rendering cannot provide the desired speed, since it can take hours to process a single image.
We give artists and creative studios access to the best compute resources for rendering visual effects, animation, and more. With cloud GPUs, rendering will be fast and easy. Hollywood animation studios and film companies use similar technologies.
GPU-accelerated Cloud Server for Machine Learning
Tesla M40 is considered one of the most powerful accelerators in the world for deep training of neural networks. The video card was created specifically for companies developing web services with machine learning support. It is specifically developed for continuous 24/7 operation.
Training of artificial intelligence and neural networks, analysis of data lakes typically take several days to weeks. This leads data scientists to choose between model accuracy and training time.
Virtual GPU server from Cloud4Y allows to reduce training time by several days or even weeks. Tesla M40 GPU accelerator is optimized for such tasks. it is eight times faster to train neural networks than the CPU (1.2 days to train a typical AlexNet network).
Render farm with high performance GPU allows scientific institutions, banks and other enterprises dealing with Big Data to process petabytes of data faster than ever.
GPU Render Farm Benefits
- Service availability 99.982%
- Designed to accelerate Machine Learning Deep Learning, AI workflows
- You use the amount of resources you need to solve the task at a specific period
- Payment for actually consumed resources
- Powerful virtual workstation accessible on any PC or laptop
- Simultaneous work with several AI models
