Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Ampere Architecture
Ada Lovelace Architecture
| Specification | NVIDIA A40 | NVIDIA RTX 4080 |
|---|---|---|
| Architecture | Ampere | Ada Lovelace |
| Release Year | 2020 | 2022 |
| VRAM | 48 GB+200.0% | 16 GB |
| Memory Type | GDDR6 | GDDR6X |
| Memory Bandwidth | 696 GB/s | 736 GB/s+5.4% |
| FP32 Performance | 37.4 TFLOPS | 48.7 TFLOPS+23.2% |
| FP16 Performance | 74.8 TFLOPS | 97.4 TFLOPS+23.2% |
| INT8 Performance | 299 TOPS | 390 TOPS+23.3% |
| Tensor Cores | 10752 | 9728 |
| CUDA Cores | 10752 | 9728 |
| TDP | 300W | 320W |
| Form Factor | PCIe | Consumer |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.75+114.3% | $0.35 |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 4080 is 23.2% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 4080 is 23.2% faster
Integer performance for efficient model inference and deployment
NVIDIA RTX 4080 is 23.3% faster
Data transfer speed between GPU and memory
NVIDIA RTX 4080 is 5.4% faster
NVIDIA RTX 4080
NVIDIA A40
NVIDIA RTX 4080
NVIDIA RTX 4080
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