NVIDIA GB300vsAMD MI300X
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA GB300
Blackwell Architecture
AMD MI300X
CDNA 3 Architecture
Detailed Specifications
| Specification | NVIDIA GB300 | AMD MI300X |
|---|---|---|
| Architecture | Blackwell | CDNA 3 |
| Release Year | 2025 | 2023 |
| VRAM | 256 GB+33.3% | 192 GB |
| Memory Type | HBM3e | HBM3 |
| Memory Bandwidth | 10000 GB/s+88.7% | 5300 GB/s |
| FP32 Performance | 120 TFLOPS | 163 TFLOPS+26.4% |
| FP16 Performance | 240 TFLOPS | 326 TFLOPS+26.4% |
| INT8 Performance | 4800 TOPS+83.9% | 2610 TOPS |
| Tensor Cores | 20480 | N/A |
| CUDA Cores | N/A | 19456 |
| TDP | 1200W | 750W |
| Form Factor | SXM | OAM |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $4.25+70.0% | $2.5 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
AMD MI300X is 26.4% faster
AI Training Performance
Half-precision performance optimized for deep learning training
AMD MI300X is 26.4% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA GB300 is 83.9% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA GB300 is 88.7% faster
AMD MI300X
NVIDIA GB300
AMD MI300X
AMD MI300X
Ideal Workloads
NVIDIA GB300
AMD MI300X
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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