NVIDIA DGX A100 DGX H100 DGX Station A100 Artificial Intelligence/High-performance Computing Server Deep Learning Server GPU Inference Server
Comparison Table for Nvidia DGX A100, DGX H100, and DGX Station A100
| Feature | Nvidia DGX A100 | Nvidia DGX H100 | Nvidia DGX Station A100 |
|---|---|---|---|
| Release Year | 2020 | 2022 | 2020 |
| Purpose | AI/ML, HPC, and data analytics | Next-gen AI/ML, generative AI, HPC | AI/ML development and workstation use |
| GPUs | 8 x Nvidia A100 (Ampere architecture) | 8 x Nvidia H100 (Hopper architecture) | 4 x Nvidia A100 (Ampere architecture) |
| GPU Memory | 640GB total (80GB per GPU with NVLink) | 640GB total (80GB per GPU with NVLink) | 320GB total (80GB per GPU with NVLink) |
| Tensor Cores | 4320 | 4320 | 2160 |
| FP64 Performance | 19.5 TFLOPS | 60 TFLOPS | 9.7 TFLOPS |
| FP32 Performance | 156 TFLOPS | 60 TFLOPS* (FP8 Hybrid mode supported) | 78 TFLOPS |
| FP8 Performance | N/A | 1.25 PFLOPS | N/A |
| Mixed Precision | 5 PFLOPS | 6 PFLOPS | 2.5 PFLOPS |
| NVLink Bandwidth | 600GB/s | 900GB/s | 600GB/s |
| CPU | 2 x AMD EPYC 7742 | 2 x AMD EPYC 7763 | 1 x AMD EPYC 7742 |
| System Memory | 1TB DDR4 | 2TB DDR5 | 512GB DDR4 |
| Storage | 15TB NVMe SSD | 30TB NVMe SSD | 7.68TB NVMe SSD |
| Networking | 8 x 200Gbps HDR InfiniBand | 8 x 400Gbps HDR InfiniBand | 2 x 10Gbps Ethernet |
| Power Consumption | 6.5 kW | 10.2 kW | 1.5 kW |
| Form Factor | 6U Rackmount | 6U Rackmount | Desktop Tower |
| Cooling | Air or Liquid-cooled | Air or Liquid-cooled | Air-cooled |
| Primary Use Case | Data centers, large-scale AI | Advanced AI, generative AI, HPC | Personal AI/ML workstation |
| Recommanded | little Recommanded | Fully Recommanded | Very Rcommanded |
Key Differences
- GPU Architecture:
- DGX H100 introduces the Hopper architecture with advanced features like FP8 precision, optimized for generative AI and next-gen ML tasks.
- DGX A100 and DGX Station A100 use the older Ampere architecture.
- Performance:
- DGX H100 provides significant improvements, with 1.25 PFLOPS FP8 and enhanced FP64 performance.
- DGX A100 offers 5 PFLOPS mixed precision, while DGX Station A100 focuses on smaller-scale tasks with 2.5 PFLOPS mixed precision.
- Memory and Bandwidth:
- DGX H100 leads with 900GB/s NVLink bandwidth and 2TB DDR5 memory, doubling the system memory of the DGX A100.
- Networking:
- DGX H100 features 400Gbps InfiniBand networking, doubling the throughput of DGX A100’s 200Gbps.
- Power and Cooling:
- DGX H100 has higher power consumption (10.2 kW) and is designed for advanced AI tasks in large data centers.
- DGX Station A100 consumes only 1.5 kW, making it suitable for small teams or workstation environments.
- Use Case:
- DGX H100 is ideal for next-gen generative AI and large-scale HPC applications.
- DGX A100 suits general AI workloads and enterprise data centers.
- DGX Station A100 is tailored for personal or small-team AI development.
Recommendations
- DGX H100: Best for cutting-edge AI research, generative AI, and high-performance computing requiring maximum power and efficiency.
- DGX A100: Suitable for established data centers handling a mix of AI/ML tasks.
- DGX Station A100: Perfect for personal AI/ML projects or on-premises development with reduced resource requirements.
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