AMD Instinct MI250 vs H200
Detailed comparison of specifications, performance, and pricing between AMD Instinct MI250 and H200
Difference Analysis
Full Specifications
| Specification | AMD Instinct MI250 | H200 |
|---|---|---|
| Brand | AMD | NVIDIA |
| Series | Data Center | Data Center |
| Architecture | CDNA 2 | Hopper |
| VRAM | 128GB | 141GB |
| VRAM Type | HBM2E | HBM3e |
| Memory Bandwidth | 3.3 TB/s | 4.8 TB/s |
| FP16 TFLOPS | 362.0 | 134.0 |
| Tensor TFLOPS | 724.0 | 2.0k |
| TDP | 500W | 700W |
| Form Factor | - | SXM |
| Hardware Price | - | $$38k |
| Cloud Price (min) | - | $2.30/hr |
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AMD Instinct MI250 vs H200 FAQ
It depends on your use case. The H200 offers 173% better performance (2.0k vs 724.0 TFLOPS). For raw performance, choose H200. For value, consider your budget and workload requirements.
The H200 has more VRAM with 141GB compared to 128GB (10% more). More VRAM is crucial for training large models and running inference on bigger batch sizes.
For AI training, the H200 is generally better due to its larger VRAM (141GB). Large language models and deep learning workloads benefit significantly from more memory. However, if your models fit in 128GB, 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 H200 actually offers 173% better performance. An "upgrade" to AMD Instinct MI250 would be a downgrade in raw performance, though it may offer other benefits like lower power consumption or cost.
