NVIDIA A100 SXMvsAMD MI300X
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA A100 SXM
Ampere Architecture
AMD MI300X
CDNA 3 Architecture
Detailed Specifications
| Specification | NVIDIA A100 SXM | AMD MI300X |
|---|---|---|
| Architecture | Ampere | CDNA 3 |
| Release Year | 2020 | 2023 |
| VRAM | 80 GB | 192 GB+58.3% |
| Memory Type | HBM2e | HBM3 |
| Memory Bandwidth | 2039 GB/s | 5300 GB/s+61.5% |
| FP32 Performance | 19.5 TFLOPS | 163 TFLOPS+88% |
| FP16 Performance | 78 TFLOPS | 326 TFLOPS+76.1% |
| INT8 Performance | 624 TOPS | 2610 TOPS+76.1% |
| Tensor Cores | 6912 | N/A |
| CUDA Cores | 6912 | 19456 |
| TDP | 400W | 750W |
| Form Factor | SXM | OAM |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $1.05 | $2.5+58% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
AMD MI300X is 88% faster
AI Training Performance
Half-precision performance optimized for deep learning training
AMD MI300X is 76.1% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
AMD MI300X is 76.1% faster
Memory Bandwidth
Data transfer speed between GPU and memory
AMD MI300X is 61.5% faster
AMD MI300X
AMD MI300X
NVIDIA A100 SXM
AMD MI300X
Ideal Workloads
NVIDIA A100 SXM
AMD MI300X
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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