Network for GPUs

with a Claude’s Help
The network architecture demonstrates 3 levels of connectivity technologies:

1. NVLink (Single node Parallel processing)

• Technology for directly connecting GPUs within a single node
• Supports up to 256 GPU connections
• Physical HBM (High Bandwidth Memory) sharing
• Optimized for high-performance GPU parallel processing within individual servers

2. NVSwitch

• Switching technology that extends NVLink limitations
• Provides logical HBM sharing
• Key component for large-scale AI model operations
• Enables complete mesh network configuration between GPU groups
• Efficiently connects multiple GPU groups within One Box Server
• Targets large AI model workloads

3. InfiniBand

• Network technology for server clustering
• Supports RDMA (Remote Direct Memory Access)
• Used for distributed computing and HPC (High Performance Computing) tasks
• Implements hierarchical network topology
• Enables large-scale cluster configuration across multiple servers
• Focuses on distributed and HPC workloads

This 3-tier architecture provides scalability through:

• GPU parallel processing within a single server (NVLink)
• High-performance connectivity between GPU groups within a server (NVSwitch)
• Cluster configuration between multiple servers (InfiniBand)

The architecture enables efficient handling of various workload scales, from small GPU tasks to large-scale distributed computing. It’s particularly effective for maximizing GPU resource utilization in large-scale AI model training and HPC workloads.

Key Benefits:

• Hierarchical scaling from single node to multi-server clusters
• Efficient memory sharing through both physical and logical HBM
• Flexible topology options for different computing needs
• Optimized for both AI and high-performance computing workloads
• Comprehensive solution for GPU-based distributed computing

This structure provides a complete solution from single-server GPU operations to complex distributed computing environments, making it suitable for a wide range of high-performance computing needs.