Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Ampere Architecture
Ampere Architecture
| Specification | NVIDIA RTX 3090 | NVIDIA RTX A6000 |
|---|---|---|
| Architecture | Ampere | Ampere |
| Release Year | 2020 | 2020 |
| VRAM | 24 GB | 48 GB+50% |
| Memory Type | GDDR6X | GDDR6 |
| Memory Bandwidth | 936 GB/s+21.9% | 768 GB/s |
| FP32 Performance | 35.6 TFLOPS | 38.7 TFLOPS+8% |
| FP16 Performance | 71 TFLOPS | 77.4 TFLOPS+8.3% |
| INT8 Performance | 284 TOPS | 310 TOPS+8.4% |
| Tensor Cores | 10496 | 10752 |
| CUDA Cores | 10496 | 10752 |
| TDP | 350W | 300W |
| Form Factor | Consumer | PCIe |
| NVLink Support | Yes | Yes |
| Avg. Price/Hour | $0.22 | $0.7+68.6% |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX A6000 is 8% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX A6000 is 8.3% faster
Integer performance for efficient model inference and deployment
NVIDIA RTX A6000 is 8.4% faster
Data transfer speed between GPU and memory
NVIDIA RTX 3090 is 21.9% faster
NVIDIA RTX A6000
NVIDIA RTX A6000
NVIDIA RTX 3090
NVIDIA RTX A6000
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