Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Ada Lovelace Architecture
Ampere Architecture
| Specification | NVIDIA RTX 4090 | NVIDIA A100 PCIe |
|---|---|---|
| Architecture | Ada Lovelace | Ampere |
| Release Year | 2022 | 2020 |
| VRAM | 24 GB | 80 GB+70% |
| Memory Type | GDDR6X | HBM2e |
| Memory Bandwidth | 1008 GB/s | 1935 GB/s+47.9% |
| FP32 Performance | 82.6 TFLOPS+323.6% | 19.5 TFLOPS |
| FP16 Performance | 165 TFLOPS+111.5% | 78 TFLOPS |
| INT8 Performance | 661 TOPS+5.9% | 624 TOPS |
| Tensor Cores | 16384 | 6912 |
| CUDA Cores | 16384 | 6912 |
| TDP | 450W | 300W |
| Form Factor | Consumer | PCIe |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.36 | $0.98+63.3% |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 4090 is 323.6% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 4090 is 111.5% faster
Integer performance for efficient model inference and deployment
NVIDIA RTX 4090 is 5.9% faster
Data transfer speed between GPU and memory
NVIDIA A100 PCIe is 47.9% faster
NVIDIA RTX 4090
NVIDIA A100 PCIe
NVIDIA RTX 4090
NVIDIA RTX 4090
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