Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Hopper Architecture
Ada Lovelace Architecture
| Specification | NVIDIA H100 PCIe | NVIDIA RTX 4080 |
|---|---|---|
| Architecture | Hopper | Ada Lovelace |
| Release Year | 2022 | 2022 |
| VRAM | 80 GB+400.0% | 16 GB |
| Memory Type | HBM3 | GDDR6X |
| Memory Bandwidth | 2000 GB/s+171.7% | 736 GB/s |
| FP32 Performance | 51 TFLOPS+4.7% | 48.7 TFLOPS |
| FP16 Performance | 102 TFLOPS+4.7% | 97.4 TFLOPS |
| INT8 Performance | 2040 TOPS+423.1% | 390 TOPS |
| Tensor Cores | 14592 | 9728 |
| CUDA Cores | 14592 | 9728 |
| TDP | 350W | 320W |
| Form Factor | PCIe | Consumer |
| NVLink Support | No | No |
| Avg. Price/Hour | $1.4+300.0% | $0.35 |
Single-precision floating-point performance for general compute workloads
NVIDIA H100 PCIe is 4.7% faster
Half-precision performance optimized for deep learning training
NVIDIA H100 PCIe is 4.7% faster
Integer performance for efficient model inference and deployment
NVIDIA H100 PCIe is 423.1% faster
Data transfer speed between GPU and memory
NVIDIA H100 PCIe is 171.7% faster
NVIDIA H100 PCIe
NVIDIA H100 PCIe
NVIDIA RTX 4080
NVIDIA RTX 4080
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