NVIDIA GB300vsNVIDIA H200
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA GB300
Blackwell Architecture
NVIDIA H200
Hopper Architecture
Detailed Specifications
| Specification | NVIDIA GB300 | NVIDIA H200 |
|---|---|---|
| Architecture | Blackwell | Hopper |
| Release Year | 2025 | 2023 |
| VRAM | 256 GB+81.6% | 141 GB |
| Memory Type | HBM3e | HBM3e |
| Memory Bandwidth | 10000 GB/s+108.3% | 4800 GB/s |
| FP32 Performance | 120 TFLOPS+79.1% | 67 TFLOPS |
| FP16 Performance | 240 TFLOPS+79.1% | 134 TFLOPS |
| INT8 Performance | 4800 TOPS+79.1% | 2680 TOPS |
| Tensor Cores | 20480 | 16896 |
| CUDA Cores | N/A | 16896 |
| TDP | 1200W | 700W |
| Form Factor | SXM | SXM |
| NVLink Support | Yes | Yes |
| Avg. Price/Hour | $4.25+88.9% | $2.25 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA GB300 is 79.1% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA GB300 is 79.1% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA GB300 is 79.1% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA GB300 is 108.3% faster
NVIDIA GB300
NVIDIA GB300
NVIDIA H200
NVIDIA GB300
Ideal Workloads
NVIDIA GB300
NVIDIA H200
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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