NVIDIA A40vsNVIDIA V100
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA A40
Ampere Architecture
NVIDIA V100
Volta Architecture
Detailed Specifications
| Specification | NVIDIA A40 | NVIDIA V100 |
|---|---|---|
| Architecture | Ampere | Volta |
| Release Year | 2020 | 2017 |
| VRAM | 48 GB+50.0% | 32 GB |
| Memory Type | GDDR6 | HBM2 |
| Memory Bandwidth | 696 GB/s | 900 GB/s+22.7% |
| FP32 Performance | 37.4 TFLOPS+138.2% | 15.7 TFLOPS |
| FP16 Performance | 74.8 TFLOPS+138.2% | 31.4 TFLOPS |
| INT8 Performance | 299 TOPS+139.2% | 125 TOPS |
| Tensor Cores | 10752 | 5120 |
| CUDA Cores | 10752 | 5120 |
| TDP | 300W | 300W |
| Form Factor | PCIe | PCIe |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.75+36.4% | $0.55 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA A40 is 138.2% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA A40 is 138.2% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA A40 is 139.2% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA V100 is 22.7% faster
NVIDIA A40
NVIDIA A40
NVIDIA V100
NVIDIA A40
Ideal Workloads
NVIDIA A40
NVIDIA V100
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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