AMD Instinct MI210 vs H100
Detailed comparison of specifications, performance, and pricing between AMD Instinct MI210 and H100
Difference Analysis
Full Specifications
| Specification | AMD Instinct MI210 | H100 | H100 PCIe |
|---|---|---|---|
| Brand | AMD | NVIDIA | NVIDIA |
| Series | Data Center | Data Center | Data Center |
| Architecture | CDNA 2 | Hopper | Hopper |
| VRAM | 64GB | 80GB | 80GB |
| VRAM Type | HBM2E | HBM3 | HBM2e |
| Memory Bandwidth | 1.6 TB/s | 3.4 TB/s | 2.0 TB/s |
| FP16 TFLOPS | 181.0 | 134.0 | 102.0 |
| Tensor TFLOPS | 362.0 | 2.0k | 1.5k |
| TDP | 300W | 700W | 350W |
| Form Factor | - | SXM | PCIe |
| Hardware Price | - | $$32k | $$28k |
| Cloud Price (min) | - | $1.47/hr | $2.89/hr |
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AMD Instinct MI210 vs H100 FAQ
It depends on your use case. The H100 offers 447% better performance (2.0k vs 362.0 TFLOPS). For raw performance, choose H100. For value, consider your budget and workload requirements.
The H100 has more VRAM with 80GB compared to 64GB (25% more). More VRAM is crucial for training large models and running inference on bigger batch sizes.
For AI training, the H100 is generally better due to its larger VRAM (80GB). Large language models and deep learning workloads benefit significantly from more memory. However, if your models fit in 64GB, the cheaper option may be more cost-effective.
Price comparison requires both GPUs to have available pricing data. Check individual GPU pages for current market prices.
The H100 actually offers 447% better performance. An "upgrade" to AMD Instinct MI210 would be a downgrade in raw performance, though it may offer other benefits like lower power consumption or cost.
