EDGE OSA GPU cluster is a group of computers or servers that have been connected together. These computers will have GPUs that can perform numerous operations simultaneously. They are very useful for deep learning, scientific applications, and large-scale applications. This distributes the computing power between multiple GPUs and computers. This means that organizations can train large models, process large data sets and carry out demanding AI workloads much more efficiently compared to using a single GPU.
Planning hardware for AI on your own premises? Work out the GPU memory a model needs in our VRAM calculator, or let us size it with you.
Get a free sizing checkImportance of a GPU Cluster
- Parallel computing
- Increased compute
- Large AI models can be trained in a distributed way
- Speed up compute times
- Share resources between teams
Use Cases of a GPU Cluster
- Train large language models
- High-volume AI inference workloads
- Computer Vision & Image generation
- Scientific simulations & advanced analytics
- AI development environment for enterprise teams
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.