Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Hopper Architecture
Ada Lovelace Architecture
| Specification | NVIDIA H200 | NVIDIA L40S |
|---|---|---|
| Architecture | Hopper | Ada Lovelace |
| Release Year | 2023 | 2023 |
| VRAM | 141 GB+193.8% | 48 GB |
| Memory Type | HBM3e | GDDR6 |
| Memory Bandwidth | 4800 GB/s+455.6% | 864 GB/s |
| FP32 Performance | 67 TFLOPS | 91.6 TFLOPS+26.9% |
| FP16 Performance | 134 TFLOPS | 183 TFLOPS+26.8% |
| INT8 Performance | 2680 TOPS+265.6% | 733 TOPS |
| Tensor Cores | 16896 | 18176 |
| CUDA Cores | 16896 | 18176 |
| TDP | 700W | 350W |
| Form Factor | SXM | PCIe |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $2.25+164.7% | $0.85 |
Single-precision floating-point performance for general compute workloads
NVIDIA L40S is 26.9% faster
Half-precision performance optimized for deep learning training
NVIDIA L40S is 26.8% faster
Integer performance for efficient model inference and deployment
NVIDIA H200 is 265.6% faster
Data transfer speed between GPU and memory
NVIDIA H200 is 455.6% faster
NVIDIA L40S
NVIDIA H200
NVIDIA L40S
NVIDIA L40S
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