NVIDIA GB300vsAMD MI210
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA GB300
Blackwell Architecture
AMD MI210
CDNA 2 Architecture
Detailed Specifications
| Specification | NVIDIA GB300 | AMD MI210 |
|---|---|---|
| Architecture | Blackwell | CDNA 2 |
| Release Year | 2025 | 2021 |
| VRAM | 256 GB+300.0% | 64 GB |
| Memory Type | HBM3e | HBM2e |
| Memory Bandwidth | 10000 GB/s+510.5% | 1638 GB/s |
| FP32 Performance | 120 TFLOPS+402.1% | 23.9 TFLOPS |
| FP16 Performance | 240 TFLOPS+401.0% | 47.9 TFLOPS |
| INT8 Performance | 4800 TOPS+2400.0% | 192 TOPS |
| Tensor Cores | 20480 | N/A |
| CUDA Cores | N/A | 6656 |
| TDP | 1200W | 300W |
| Form Factor | SXM | PCIe |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $4.25+418.3% | $0.82 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA GB300 is 402.1% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA GB300 is 401% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA GB300 is 2400% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA GB300 is 510.5% faster
NVIDIA GB300
NVIDIA GB300
AMD MI210
NVIDIA GB300
Ideal Workloads
NVIDIA GB300
AMD MI210
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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