AI Supercomputing GPU
The NVIDIA H100 is the world's most advanced AI training GPU, offering unprecedented performance for large language models. Compare real-time H100 cloud pricing, technical specifications, and find the best deals from top providers.
Compare H100 rental prices across top cloud providers
H100 SXM5 80GB
H100 80GB
H100 80GB
H100 80GB
Architecture | Hopper |
Process Node | TSMC 4N (5nm) |
Transistors | 80 billion |
Memory | 80GB HBM3 |
Memory Bandwidth | 3.35 TB/s |
Compute (FP16) | 1979 TFLOPS |
Compute (Sparsity) | 3958 TFLOPS |
Tensor Performance | 989 TOPS (sparsity) |
Base Clock | 1410 MHz |
Memory Clock | 5.2 GHz effective |
Power Consumption | 700W (SXM5) |
Form Factor | SXM5, PCIe |
Launch Date | March 2022 |
MSRP | $25,000 - $40,000 |
Train GPT-style models with 7B+ parameters efficiently
80GB HBM3 memory, 989 TOPS sparsity
Cutting-edge AI research requiring maximum performance
FP8 precision, advanced tensor operations
Serve large models with ultra-low latency requirements
High throughput, optimized for transformer architectures
NVIDIA H100 prices vary significantly by form factor and vendor. The H100 SXM5 (data center version) costs $25,000-$40,000 to purchase, while H100 PCIe versions are slightly less expensive at $20,000-$30,000. Cloud rental prices start from $2.06/hour at Lambda Labs for academic users.
Cloud rental is the most cost-effective option for most users. Lambda Labs offers the lowest rates at $2.06/hr, especially with academic pricing. For occasional use (less than 40 hours/month), cloud rental costs under $100/month versus $25K+ purchase price.
For large language model training (7B+ parameters), the H100's 80GB memory and 989 TOPS performance make it essential. Training models like LLaMA 2 70B requires H100-class memory capacity. Smaller models can use more affordable alternatives like RTX 4090 or A100.
Compare real-time H100 pricing across all cloud providers and find the best deal for your AI projects.