Definition
A GPU Data Center is a data center environment optimized for Graphics Processing Unit (GPU)-based computing workloads, including artificial intelligence training, machine learning, and high-performance computing applications.
Unlike traditional CPU-focused data centers, GPU data centers require specialized infrastructure to support higher power consumption, increased heat generation, and advanced networking requirements.
Why It Matters
GPUs have become the foundation of modern AI computing.
As AI models become larger and more complex, GPU data centers must provide:
- High-density computing capacity
- Reliable power delivery
- Advanced cooling systems
- High-speed data communication
Key Technologies
GPU Computing Infrastructure
Includes:
- AI servers
- GPU clusters
- AI accelerators
High-Speed Networking
Supports rapid data exchange between computing nodes.
Advanced Cooling
GPU environments often require:
- Liquid cooling
- Direct-to-chip cooling
- Immersion cooling
Applications
GPU data centers support:
- Generative AI
- Large language models
- Machine learning
- Scientific computing
- Simulation workloads
Related Terms
Related ATTOM Solutions
ATTOM develops infrastructure solutions designed to support GPU-intensive AI computing environments, including modular data centers and advanced cooling systems.
