NVIDIA H100
The industry standard for AI infrastructure
- GPU memory
- 80 GB HBM3
- Memory bandwidth
- 3.35 TB/s
Data center: Hopper and Ampere
NVIDIA H200 Rental
H100 compute with 76% more memory
The most powerful Hopper GPU, with 141 GB of HBM3e and 4.8 TB/s of bandwidth. Ideal for large-model inference and long-context workloads.
- GPU memory
- 141 GB HBM3e
- Memory bandwidth
- 4.8 TB/s
- Interconnect
- NVLink 4 · 900 GB/s
- Headline performance
- FP8: 3,958 TFLOPS (with sparsity)
Why H200?
H200 uses the same Hopper compute as H100 — the difference is memory. 141 GB of HBM3e and 4.8 TB/s of bandwidth let you split large models across fewer GPUs and use larger batches and context windows during inference.
It is fully compatible with your existing H100 software stack, so you can switch without changing your code.
Ideal for
- Inference for 70B-class models
- Long-context LLM applications
- Fine-tuning and RLHF
- Memory-intensive HPC workloads
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.