Definition
A GPU Cluster is a group of interconnected GPUs and computing systems working together to provide large-scale parallel processing capability for artificial intelligence and high-performance computing workloads.
GPU clusters enable organizations to train and operate increasingly complex AI models.
Why It Matters
Modern AI models require enormous computational resources that often exceed the capability of individual servers.
GPU clusters provide:
- Distributed computing power
- Faster AI processing
- Large-scale model training capability
- Scalable AI infrastructure
Key Technologies
GPU clusters typically include:
GPU Servers
High-performance computing nodes equipped with multiple GPUs.
High-Speed Networking
Enables rapid communication between computing nodes.
Advanced Cooling Systems
Supports high-density computing environments through:
- Liquid Cooling
- Direct-to-Chip Cooling
- Immersion Cooling
Applications
GPU clusters support:
- AI model training
- Large language models
- Generative AI
- Scientific computing
- Simulation workloads
Related Terms
Related ATTOM Solutions
ATTOM develops AI infrastructure solutions designed to support GPU-intensive environments through modular data centers and advanced thermal management technologies.
