Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Ada Lovelace Architecture
Ampere Architecture
| Specification | NVIDIA RTX 4090 | NVIDIA RTX A6000 |
|---|---|---|
| Architecture | Ada Lovelace | Ampere |
| Release Year | 2022 | 2020 |
| VRAM | 24 GB | 48 GB+50% |
| Memory Type | GDDR6X | GDDR6 |
| Memory Bandwidth | 1008 GB/s+31.3% | 768 GB/s |
| FP32 Performance | 82.6 TFLOPS+113.4% | 38.7 TFLOPS |
| FP16 Performance | 165 TFLOPS+113.2% | 77.4 TFLOPS |
| INT8 Performance | 661 TOPS+113.2% | 310 TOPS |
| Tensor Cores | 16384 | 10752 |
| CUDA Cores | 16384 | 10752 |
| TDP | 450W | 300W |
| Form Factor | Consumer | PCIe |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.36 | $0.7+48.6% |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 4090 is 113.4% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 4090 is 113.2% faster
Integer performance for efficient model inference and deployment
NVIDIA RTX 4090 is 113.2% faster
Data transfer speed between GPU and memory
NVIDIA RTX 4090 is 31.3% faster
NVIDIA RTX 4090
NVIDIA RTX A6000
NVIDIA RTX 4090
NVIDIA RTX 4090
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