NVIDIA A100 SXMvsNVIDIA V100
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA A100 SXM
Ampere Architecture
NVIDIA V100
Volta Architecture
Detailed Specifications
| Specification | NVIDIA A100 SXM | NVIDIA V100 |
|---|---|---|
| Architecture | Ampere | Volta |
| Release Year | 2020 | 2017 |
| VRAM | 80 GB+150.0% | 32 GB |
| Memory Type | HBM2e | HBM2 |
| Memory Bandwidth | 2039 GB/s+126.6% | 900 GB/s |
| FP32 Performance | 19.5 TFLOPS+24.2% | 15.7 TFLOPS |
| FP16 Performance | 78 TFLOPS+148.4% | 31.4 TFLOPS |
| INT8 Performance | 624 TOPS+399.2% | 125 TOPS |
| Tensor Cores | 6912 | 5120 |
| CUDA Cores | 6912 | 5120 |
| TDP | 400W | 300W |
| Form Factor | SXM | PCIe |
| NVLink Support | Yes | Yes |
| Avg. Price/Hour | $1.05+90.9% | $0.55 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA A100 SXM is 24.2% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA A100 SXM is 148.4% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA A100 SXM is 399.2% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA A100 SXM is 126.6% faster
NVIDIA A100 SXM
NVIDIA A100 SXM
NVIDIA V100
NVIDIA V100
Ideal Workloads
NVIDIA A100 SXM
NVIDIA V100
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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