NVIDIA H200
H100 compute with 76% more memory
- GPU memory
- 141 GB HBM3e
- Memory bandwidth
- 4.8 TB/s
Data center: Hopper and Ampere
NVIDIA H100 Rental
The industry standard for AI infrastructure
The most widely deployed data center GPU for AI training and inference, with 80 GB of HBM3, an FP8 Transformer Engine and NVLink.
- GPU memory
- 80 GB HBM3
- Memory bandwidth
- 3.35 TB/s
- Interconnect
- NVLink 4 · 900 GB/s
- Headline performance
- FP8: 3,958 TFLOPS (with sparsity)
Why H100?
H100 has become the de facto standard for AI infrastructure. Every major framework — PyTorch, JAX, vLLM, TensorRT-LLM — is optimized for it, so your project runs with minimal friction.
The FP8 Transformer Engine delivers a significant speed-up over A100 on transformer models, and 900 GB/s NVLink between GPUs in SXM5 servers makes multi-GPU training efficient.
Ideal for
- LLM training and fine-tuning
- Production model serving (inference)
- Distributed training (multi-GPU / multi-node)
- Scientific computing and simulation
When you rent with CWCHost
- Dedicated, single-tenant server
- Delivered with drivers, CUDA and Docker installed
- Full administrator access via SSH
- Engineering support for setup and tuning
- Flexible terms from monthly to yearly
- Enterprise contracts and invoicing
Other GPU options
NVIDIA A100 80GB
Proven performance, strong cost efficiency
- GPU memory
- 80 GB HBM2e
- Memory bandwidth
- 2 TB/s
NVIDIA B300
Built for reasoning models and trillion-parameter scale
- GPU memory
- 288 GB HBM3e
- Memory bandwidth
- 8 TB/s
Let's plan the right GPU infrastructure for your project
Fill in the form and our team will review your needs and get back to you with a tailored quote.