MI300X vs B200
Detailed comparison of specifications, performance, and pricing between MI300X and B200
Difference Analysis
Full Specifications
| Specification | MI300X | B200 |
|---|---|---|
| Brand | AMD | NVIDIA |
| Series | Data Center | Data Center |
| Architecture | CDNA3 | Blackwell |
| VRAM | 192GB | 192GB |
| VRAM Type | HBM3 | HBM3e |
| Memory Bandwidth | 5.3 TB/s | 8.0 TB/s |
| FP16 TFLOPS | 653.7 | - |
| Tensor TFLOPS | - | 4.5k |
| TDP | 750W | 1000W |
| Form Factor | OAM | SXM |
| Hardware Price | $$18k | $$45k |
| Cloud Price (min) | $2.39/hr | $3.75/hr |
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MI300X vs B200 FAQ
It depends on your use case. The B200 offers 588% better performance (4.5k vs 653.7 TFLOPS). However, the MI300X is 150% cheaper. For raw performance, choose B200. For value, consider your budget and workload requirements.
The MI300X has more VRAM with 192GB compared to 192GB (0% more). More VRAM is crucial for training large models and running inference on bigger batch sizes.
For AI training, the MI300X is generally better due to its larger VRAM (192GB). 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 MI300X is 150% cheaper at $$18k vs $$45k. When considering performance per dollar, evaluate your specific workload requirements to determine the best value.
The B200 actually offers 588% better performance. An "upgrade" to MI300X would be a downgrade in raw performance, though it may offer other benefits like lower power consumption or cost.
