NVIDIA GB300vsNVIDIA A40
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA GB300
Blackwell Architecture
NVIDIA A40
Ampere Architecture
Detailed Specifications
| Specification | NVIDIA GB300 | NVIDIA A40 |
|---|---|---|
| Architecture | Blackwell | Ampere |
| Release Year | 2025 | 2020 |
| VRAM | 256 GB+433.3% | 48 GB |
| Memory Type | HBM3e | GDDR6 |
| Memory Bandwidth | 10000 GB/s+1336.8% | 696 GB/s |
| FP32 Performance | 120 TFLOPS+220.9% | 37.4 TFLOPS |
| FP16 Performance | 240 TFLOPS+220.9% | 74.8 TFLOPS |
| INT8 Performance | 4800 TOPS+1505.4% | 299 TOPS |
| Tensor Cores | 20480 | 10752 |
| CUDA Cores | N/A | 10752 |
| TDP | 1200W | 300W |
| Form Factor | SXM | PCIe |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $4.25+466.7% | $0.75 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA GB300 is 220.9% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA GB300 is 220.9% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA GB300 is 1505.4% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA GB300 is 1336.8% faster
NVIDIA GB300
NVIDIA GB300
NVIDIA A40
NVIDIA A40
Ideal Workloads
NVIDIA GB300
NVIDIA A40
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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