NVIDIA RTX 4070 TivsNVIDIA H100 SXM
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA RTX 4070 Ti
Ada Lovelace Architecture
NVIDIA H100 SXM
Hopper Architecture
Detailed Specifications
| Specification | NVIDIA RTX 4070 Ti | NVIDIA H100 SXM |
|---|---|---|
| Architecture | Ada Lovelace | Hopper |
| Release Year | 2023 | 2022 |
| VRAM | 12 GB | 80 GB+85% |
| Memory Type | GDDR6X | HBM3 |
| Memory Bandwidth | 504 GB/s | 3350 GB/s+85% |
| FP32 Performance | 40.1 TFLOPS | 60 TFLOPS+33.2% |
| FP16 Performance | 80.2 TFLOPS | 120 TFLOPS+33.2% |
| INT8 Performance | 321 TOPS | 2400 TOPS+86.6% |
| Tensor Cores | 7680 | 16896 |
| CUDA Cores | 7680 | 16896 |
| TDP | 285W | 700W |
| Form Factor | Consumer | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.28 | $1.5+81.3% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA H100 SXM is 33.2% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA H100 SXM is 33.2% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 86.6% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 85% faster
NVIDIA H100 SXM
NVIDIA H100 SXM
NVIDIA RTX 4070 Ti
NVIDIA RTX 4070 Ti
Ideal Workloads
NVIDIA RTX 4070 Ti
NVIDIA H100 SXM
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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