Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Hopper Architecture
Ada Lovelace Architecture
| Specification | NVIDIA H100 SXM | NVIDIA RTX 4070 Ti |
|---|---|---|
| Architecture | Hopper | Ada Lovelace |
| Release Year | 2022 | 2023 |
| VRAM | 80 GB+566.7% | 12 GB |
| Memory Type | HBM3 | GDDR6X |
| Memory Bandwidth | 3350 GB/s+564.7% | 504 GB/s |
| FP32 Performance | 60 TFLOPS+49.6% | 40.1 TFLOPS |
| FP16 Performance | 120 TFLOPS+49.6% | 80.2 TFLOPS |
| INT8 Performance | 2400 TOPS+647.7% | 321 TOPS |
| Tensor Cores | 16896 | 7680 |
| CUDA Cores | 16896 | 7680 |
| TDP | 700W | 285W |
| Form Factor | SXM | Consumer |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $1.5+435.7% | $0.28 |
Single-precision floating-point performance for general compute workloads
NVIDIA H100 SXM is 49.6% faster
Half-precision performance optimized for deep learning training
NVIDIA H100 SXM is 49.6% faster
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 647.7% faster
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 564.7% faster
NVIDIA H100 SXM
NVIDIA H100 SXM
NVIDIA RTX 4070 Ti
NVIDIA RTX 4070 Ti
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