NVIDIA B300
Built for reasoning models and trillion-parameter scale
- GPU memory
- 288 GB HBM3e
- Memory bandwidth
- 8 TB/s
Enterprise GPU infrastructure
Enterprise GPU rental for your AI projects
NVIDIA B300, B200, H200, H100 and more. We configure dedicated GPU servers to your needs and deliver them with enterprise contracts and technical support.
- Dedicated, single-tenant hardware
- Flexible terms from monthly to yearly
- Technical support from setup to operations
10+
GPU models
From Blackwell to Ada Lovelace
8 GPUs
per server
NVLink-connected HGX systems
2.3 TB
GPU memory per server
In HGX B300 configuration
Multi-node
cluster support
For large-scale training
GPU catalog
The right GPU for every workload
From large-scale model training to cost-efficient inference, we offer the most in-demand NVIDIA GPUs on enterprise terms.
NVIDIA B200
The new standard for training and inference
- GPU memory
- 180 GB HBM3e
- Memory bandwidth
- 8 TB/s
NVIDIA H200
H100 compute with 76% more memory
- GPU memory
- 141 GB HBM3e
- Memory bandwidth
- 4.8 TB/s
NVIDIA H100
The industry standard for AI infrastructure
- GPU memory
- 80 GB HBM3
- Memory bandwidth
- 3.35 TB/s
NVIDIA L40S
A versatile data center GPU for AI and graphics
- GPU memory
- 48 GB GDDR6 ECC
- Memory bandwidth
- 864 GB/s
NVIDIA RTX PRO 6000 Blackwell
Blackwell professional power with 96 GB of memory
- GPU memory
- 96 GB GDDR7 ECC
- Memory bandwidth
- 1.6 TB/s
Why CWCHost?
Focus on your models, not on infrastructure
Let us handle hardware sourcing, setup and operations so your team can focus on its product.
Dedicated hardware
GPUs are reserved exclusively for you. No shared resources, no noisy neighbors, no unexpected performance drops.
Flexible rental terms
From monthly rentals to multi-year contracts — terms that match your project timeline.
Ready-to-use software stack
NVIDIA drivers, CUDA, Docker and PyTorch come pre-installed so you can start on day one.
Scalable architecture
Grow from a single GPU to NVLink-connected 8-GPU servers and multi-node clusters.
Expert technical support
Reach our engineers directly for setup, performance tuning and troubleshooting.
Enterprise-ready process
Contracts, invoicing and data-protection-compliant processes built for enterprise requirements.
Use cases
For every stage of AI and high-performance computing
LLM and foundation model training
Train large language models from scratch or with continued pre-training.
Fine-tuning and model customization
Customize open-source models with your own data.
Inference and model serving
Serve your models at high volume with low latency.
Image and video generation
Build generative content pipelines with diffusion and video models.
3D rendering and VFX
Accelerate 3D rendering and visual effects with GPU power.
Scientific computing and HPC
Scale simulation, genomics and analytics workloads.
Process
How it works
- 01
Send your request
Fill in the quote form with basics like GPU model, quantity and duration.
- 02
Requirements analysis
Our team reviews your workload and recommends the best configuration.
- 03
Quote and contract
We send you a tailored price quote and service terms.
- 04
Setup and delivery
Your servers are prepared and access is handed over — with our support team by your side.
Blog
Guides on GPU infrastructure
H100 vs H200 vs B200 vs B300: Which GPU Should You Rent?
We compare NVIDIA's data center GPUs by memory, bandwidth and use case — a practical guide to choosing the right GPU for your project.
Rent or Buy GPUs? A Decision Guide for Enterprises
The purchase price is only the tip of the iceberg. Power, cooling, lead times and obsolescence — what to consider when deciding on GPU infrastructure.
How Much GPU Memory Do You Need for LLM Fine-Tuning and Inference?
A practical way to estimate GPU memory by model size, precision and training method — with example scenarios from 7B to 70B and GPU recommendations.
FAQ
Frequently asked questions
Why aren't GPU rental prices listed on the site?
Pricing varies significantly by GPU model, quantity, rental term and configuration. To offer you the best price, we evaluate every request individually and prepare a tailored quote.
What is the minimum rental term?
Rentals are monthly, with a minimum term of one month. For longer projects we offer 3-, 6-, 12-month and longer contracts.
How do I access the servers?
You get full administrator access to your servers via SSH. The operating system and software stack are prepared to your requirements.
Are GPUs shared with other customers?
No. The GPUs you rent are reserved exclusively for you; resources are never shared with other customers.
I'm not sure which GPU to choose. Can you help?
Of course. Select “Not sure” on the quote form and briefly describe your project — our engineers will recommend the best GPU and configuration for your workload.
Can I add capacity during the contract term?
Yes. Subject to availability, you can add GPUs or servers during your contract term.
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.