NVIDIA GB200vsNVIDIA A40
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA GB200
Blackwell Architecture
NVIDIA A40
Ampere Architecture
Detailed Specifications
| Specification | NVIDIA GB200 | NVIDIA A40 |
|---|---|---|
| Architecture | Blackwell | Ampere |
| Release Year | 2024 | 2020 |
| VRAM | 192 GB+300.0% | 48 GB |
| Memory Type | HBM3e | GDDR6 |
| Memory Bandwidth | 8000 GB/s+1049.4% | 696 GB/s |
| FP32 Performance | 90 TFLOPS+140.6% | 37.4 TFLOPS |
| FP16 Performance | 180 TFLOPS+140.6% | 74.8 TFLOPS |
| INT8 Performance | 3600 TOPS+1104.0% | 299 TOPS |
| Tensor Cores | 18432 | 10752 |
| CUDA Cores | N/A | 10752 |
| TDP | 1000W | 300W |
| Form Factor | Superchip | PCIe |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $3.75+400.0% | $0.75 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA GB200 is 140.6% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA GB200 is 140.6% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA GB200 is 1104% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA GB200 is 1049.4% faster
NVIDIA GB200
NVIDIA GB200
NVIDIA A40
NVIDIA A40
Ideal Workloads
NVIDIA GB200
NVIDIA A40
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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