NVIDIA H100 SXMvsAMD MI210
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA H100 SXM
Hopper Architecture
AMD MI210
CDNA 2 Architecture
Detailed Specifications
| Specification | NVIDIA H100 SXM | AMD MI210 |
|---|---|---|
| Architecture | Hopper | CDNA 2 |
| Release Year | 2022 | 2021 |
| VRAM | 80 GB+25.0% | 64 GB |
| Memory Type | HBM3 | HBM2e |
| Memory Bandwidth | 3350 GB/s+104.5% | 1638 GB/s |
| FP32 Performance | 60 TFLOPS+151.0% | 23.9 TFLOPS |
| FP16 Performance | 120 TFLOPS+150.5% | 47.9 TFLOPS |
| INT8 Performance | 2400 TOPS+1150.0% | 192 TOPS |
| Tensor Cores | 16896 | N/A |
| CUDA Cores | 16896 | 6656 |
| TDP | 700W | 300W |
| Form Factor | SXM | PCIe |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $1.5+82.9% | $0.82 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA H100 SXM is 151% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA H100 SXM is 150.5% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 1150% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 104.5% faster
NVIDIA H100 SXM
NVIDIA H100 SXM
AMD MI210
NVIDIA H100 SXM
Ideal Workloads
NVIDIA H100 SXM
AMD MI210
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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