AMD MI250XvsNVIDIA H100 SXM
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
AMD MI250X
CDNA 2 Architecture
NVIDIA H100 SXM
Hopper Architecture
Detailed Specifications
| Specification | AMD MI250X | NVIDIA H100 SXM |
|---|---|---|
| Architecture | CDNA 2 | Hopper |
| Release Year | 2021 | 2022 |
| VRAM | 128 GB+60.0% | 80 GB |
| Memory Type | HBM2e | HBM3 |
| Memory Bandwidth | 3277 GB/s | 3350 GB/s+2.2% |
| FP32 Performance | 47.9 TFLOPS | 60 TFLOPS+20.2% |
| FP16 Performance | 95.7 TFLOPS | 120 TFLOPS+20.3% |
| INT8 Performance | 383 TOPS | 2400 TOPS+84% |
| Tensor Cores | N/A | 16896 |
| CUDA Cores | 14080 | 16896 |
| TDP | 560W | 700W |
| Form Factor | OAM | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $1.35 | $1.5+10% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA H100 SXM is 20.2% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA H100 SXM is 20.3% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 84% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 2.2% faster
NVIDIA H100 SXM
AMD MI250X
AMD MI250X
NVIDIA H100 SXM
Ideal Workloads
AMD MI250X
NVIDIA H100 SXM
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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