NVIDIA H100 SXMvsAMD MI300X
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA H100 SXM
Hopper Architecture
AMD MI300X
CDNA 3 Architecture
Detailed Specifications
| Specification | NVIDIA H100 SXM | AMD MI300X |
|---|---|---|
| Architecture | Hopper | CDNA 3 |
| Release Year | 2022 | 2023 |
| VRAM | 80 GB | 192 GB+58.3% |
| Memory Type | HBM3 | HBM3 |
| Memory Bandwidth | 3350 GB/s | 5300 GB/s+36.8% |
| FP32 Performance | 60 TFLOPS | 163 TFLOPS+63.2% |
| FP16 Performance | 120 TFLOPS | 326 TFLOPS+63.2% |
| INT8 Performance | 2400 TOPS | 2610 TOPS+8% |
| Tensor Cores | 16896 | N/A |
| CUDA Cores | 16896 | 19456 |
| TDP | 700W | 750W |
| Form Factor | SXM | OAM |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $1.5 | $2.5+40% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
AMD MI300X is 63.2% faster
AI Training Performance
Half-precision performance optimized for deep learning training
AMD MI300X is 63.2% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
AMD MI300X is 8% faster
Memory Bandwidth
Data transfer speed between GPU and memory
AMD MI300X is 36.8% faster
AMD MI300X
AMD MI300X
NVIDIA H100 SXM
AMD MI300X
Ideal Workloads
NVIDIA H100 SXM
AMD MI300X
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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