MI355X vs B200
Detailed comparison of specifications, performance, and pricing between AMD Instinct MI355X and B200
Difference Analysis
Full Specifications
| Specification | MI355X | B200 | H100 NVL | A100 SXM |
|---|---|---|---|---|
| Brand | AMD | NVIDIA | NVIDIA | NVIDIA |
| Series | Data Center | Data Center | Data Center | Data Center |
| Architecture | CDNA4 | Blackwell | Hopper | Ampere |
| VRAM | 288GB | 192GB | 94GB | 80GB |
| VRAM Type | HBM3e | HBM3e | HBM3 | HBM2e |
| Memory Bandwidth | 8.0 TB/s | 8.0 TB/s | 3.9 TB/s | 2.0 TB/s |
| FP16 TFLOPS | - | - | 134.0 | 78.0 |
| Tensor TFLOPS | - | 4.5k | 2.0k | 312.0 |
| TDP | 500W | 1000W | 400W | 400W |
| Form Factor | OAM | SXM | NVL | SXM |
| Hardware Price | $$25k | $$45k | $$35k | $$12k |
| Cloud Price (min) | - | $3.75/hr | $2.27/hr | $1.30/hr |
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MI355X vs B200 FAQ
It depends on your use case. The B200 offers 0% better performance (4.5k vs - TFLOPS). However, the MI355X is 80% cheaper. For raw performance, choose B200. For value, consider your budget and workload requirements.
The MI355X has more VRAM with 288GB compared to 192GB (50% more). More VRAM is crucial for training large models and running inference on bigger batch sizes.
For AI training, the MI355X is generally better due to its larger VRAM (288GB). Large language models and deep learning workloads benefit significantly from more memory. However, if your models fit in 192GB, the cheaper option may be more cost-effective.
The MI355X is 80% cheaper at $$25k vs $$45k. When considering performance per dollar, evaluate your specific workload requirements to determine the best value.
The B200 actually offers 0% better performance. An "upgrade" to MI355X would be a downgrade in raw performance, though it may offer other benefits like lower power consumption or cost.
