NVIDIA GB300vsNVIDIA V100
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA GB300
Blackwell Architecture
NVIDIA V100
Volta Architecture
Detailed Specifications
| Specification | NVIDIA GB300 | NVIDIA V100 |
|---|---|---|
| Architecture | Blackwell | Volta |
| Release Year | 2025 | 2017 |
| VRAM | 256 GB+700.0% | 32 GB |
| Memory Type | HBM3e | HBM2 |
| Memory Bandwidth | 10000 GB/s+1011.1% | 900 GB/s |
| FP32 Performance | 120 TFLOPS+664.3% | 15.7 TFLOPS |
| FP16 Performance | 240 TFLOPS+664.3% | 31.4 TFLOPS |
| INT8 Performance | 4800 TOPS+3740.0% | 125 TOPS |
| Tensor Cores | 20480 | 5120 |
| CUDA Cores | N/A | 5120 |
| TDP | 1200W | 300W |
| Form Factor | SXM | PCIe |
| NVLink Support | Yes | Yes |
| Avg. Price/Hour | $4.25+672.7% | $0.55 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA GB300 is 664.3% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA GB300 is 664.3% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA GB300 is 3740% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA GB300 is 1011.1% faster
NVIDIA GB300
NVIDIA GB300
NVIDIA V100
NVIDIA GB300
Ideal Workloads
NVIDIA GB300
NVIDIA V100
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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