NVIDIA GB300vsAMD MI250X
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA GB300
Blackwell Architecture
AMD MI250X
CDNA 2 Architecture
Detailed Specifications
| Specification | NVIDIA GB300 | AMD MI250X |
|---|---|---|
| Architecture | Blackwell | CDNA 2 |
| Release Year | 2025 | 2021 |
| VRAM | 256 GB+100.0% | 128 GB |
| Memory Type | HBM3e | HBM2e |
| Memory Bandwidth | 10000 GB/s+205.2% | 3277 GB/s |
| FP32 Performance | 120 TFLOPS+150.5% | 47.9 TFLOPS |
| FP16 Performance | 240 TFLOPS+150.8% | 95.7 TFLOPS |
| INT8 Performance | 4800 TOPS+1153.3% | 383 TOPS |
| Tensor Cores | 20480 | N/A |
| CUDA Cores | N/A | 14080 |
| TDP | 1200W | 560W |
| Form Factor | SXM | OAM |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $4.25+214.8% | $1.35 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA GB300 is 150.5% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA GB300 is 150.8% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA GB300 is 1153.3% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA GB300 is 205.2% faster
NVIDIA GB300
NVIDIA GB300
AMD MI250X
NVIDIA GB300
Ideal Workloads
NVIDIA GB300
AMD MI250X
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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