H200 NVL vs AMD Instinct MI250X
Detailed comparison of specifications, performance, and pricing between H200 NVL and AMD Instinct MI250X
Difference Analysis
Full Specifications
| Specification | H200 NVL | AMD Instinct MI250X | H100 PCIe |
|---|---|---|---|
| Brand | NVIDIA | AMD | NVIDIA |
| Series | - | Data Center | Data Center |
| Architecture | - | CDNA 2 | Hopper |
| VRAM | 143GB | 128GB | 80GB |
| VRAM Type | - | HBM2E | HBM2e |
| Memory Bandwidth | - | 3.3 TB/s | 2.0 TB/s |
| FP16 TFLOPS | - | 383.0 | 102.0 |
| Tensor TFLOPS | - | 766.0 | 1.5k |
| TDP | - | 560W | 350W |
| Form Factor | - | - | PCIe |
| Hardware Price | - | - | $$28k |
| Cloud Price (min) | $3.79/hr | - | $2.89/hr |
Which Should You Choose?
For AI Training
Large model training needs maximum VRAM and memory bandwidth.
For AI Inference
Inference prioritizes throughput and cost efficiency.
Related Comparisons
H200 NVL vs AMD Instinct MI250X FAQ
It depends on your use case. The AMD Instinct MI250X offers 0% better performance (766.0 vs - TFLOPS). For raw performance, choose AMD Instinct MI250X. For value, consider your budget and workload requirements.
The H200 NVL has more VRAM with 143GB compared to 128GB (12% more). More VRAM is crucial for training large models and running inference on bigger batch sizes.
For AI training, the H200 NVL is generally better due to its larger VRAM (143GB). 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 AMD Instinct MI250X actually offers 0% better performance. An "upgrade" to H200 NVL would be a downgrade in raw performance, though it may offer other benefits like lower power consumption or cost.
