NVIDIA DGX is a specialized server system optimized for GPU-centric high-performance computing. This diagram illustrates the internal architecture of DGX, which maintains a server-like structure but is specifically designed for massive parallel processing.
The core of the DGX system consists of multiple high-performance GPUs interconnected not through conventional PCIe, but via NVIDIA’s proprietary NVLink and NVSwitch technologies. This configuration dramatically increases GPU-to-GPU communication bandwidth, maximizing parallel processing efficiency.
Key features:
- Integration of multiple CPUs and eight GPUs through high-performance interconnects
- Mesh network configuration between all GPUs via NVSwitch, minimizing bottlenecks
- Hierarchical memory architecture combining High Bandwidth Memory (HBM) and DRAM
- NVMe SSDs for high-speed storage
- High-efficiency cooling system supporting dense computing environments
- InfiniBand networking for high-speed connections between multiple DGX systems
This configuration is optimized for workloads requiring parallel processing such as deep learning, AI model training, and large-scale data analysis, enabling much more efficient GPU utilization compared to conventional servers.
With Claude
Lechuck Park 