// gpu rental
Dedicated GPU Servers, Hosted for You
Rent dedicated NVIDIA GPU servers without the capital outlay. Each system is reserved exclusively for your team, hosted and maintained by our engineers, and delivered with remote SSH or Jupyter access — so you can start training, fine-tuning, or serving models without building a data center first.
[01] available-gpus
Available GPUs
Choose the GPU and node size that match your workload. Every configuration is a dedicated bare-metal server — no shared GPUs, no noisy neighbours. Pricing depends on GPU model, quantity, and term; request a quote for current availability.
| GPU | GPU Memory | Configurations | Best For | Quote |
|---|---|---|---|---|
| NVIDIA RTX PRO 6000 Blackwell | 96GB GDDR7 ECC | 1x / 2x / 4x / 8x GPU | LLM inference, fine-tuning, rendering, simulation | Request Quote |
| NVIDIA RTX PRO 5500 Blackwell | 84GB GDDR7 ECC | 1x / 2x / 4x GPU | Model development, inference, visualization | Request Quote |
| NVIDIA H200 | 141GB HBM3e | 8x GPU (HGX) | Large-scale training and high-throughput LLM inference | Request Quote |
| NVIDIA A100 | 80GB HBM2e | 1x / 4x / 8x GPU | Deep learning training, HPC, research workloads | Request Quote |
* Available configurations vary with current capacity. Custom CPU, memory, storage, and network options are available on request.
[02] how-it-works
How It Works
From first enquiry to a running server, our engineers handle the infrastructure so your team can focus on models and data.
- 01
Choose Your Configuration
Select the GPU model, number of GPUs, and rental term. Not sure what you need? Our engineers will size the system to your workload.
- 02
Submit a Request
Send us your requirements through the quote form. We confirm availability, configuration, and terms in a written proposal.
- 03
Verification & Agreement
We complete customer and end-use verification, then sign the rental agreement covering term, service levels, and acceptable use.
- 04
Access & Run
Your dedicated server is provisioned with your chosen software stack, and access credentials are delivered securely to your team.
[03] rental-terms
Flexible Rental Terms
Rent for a single project or reserve capacity for the long run. Longer commitments receive preferential rates.
Short-Term
Ideal for proof-of-concept work, benchmarking, and time-boxed projects. Validate your workload on the target GPU before committing to a purchase.
Monthly
Rolling monthly rental for ongoing development and production inference. Scale up or down as your workload changes.
Long-Term Reserved
Reserved capacity for 3 to 12 months or longer, with preferential rates and a guaranteed configuration for sustained training and inference.
[04] whats-included
What's Included
Every rental is a complete, production-ready environment — not just a GPU.
- $ Ubuntu LTS operating system
- $ NVIDIA GPU drivers and CUDA toolkit
- $ Docker with NVIDIA Container Toolkit
- $ PyTorch and mainstream AI frameworks
- $ Custom images and versions on request
[06] use-cases
Built for AI Workloads
LLM Fine-Tuning
Adapt open-source large language models to your data on dedicated GPUs, keeping training data under your control.
Inference Serving
Run production inference with predictable latency and dedicated capacity, without per-token pricing.
Rendering & Simulation
Accelerate 3D rendering, digital twins, and engineering simulation with professional RTX GPUs.
Research & Education
Give research groups and classrooms access to modern GPU infrastructure for a semester or a project.
[07] faq
Frequently Asked Questions
Is the server shared with other customers?
No. Every rental is a dedicated bare-metal server. The GPUs, CPUs, memory, and storage are reserved exclusively for your team for the full rental term.
How do we access the server?
Access is provided over SSH with key-based authentication, with Jupyter available on request. We can also arrange VPN access or IP allow-listing to match your security requirements.
What happens to our data at the end of the rental?
At the end of the term, you can retrieve your data before the server is securely wiped. All storage is erased before the system is reassigned.
Can we upgrade or add GPUs during the rental?
Yes, subject to availability. You can move to a larger configuration or add servers during your term — contact us and we will plan the change with you.
How is pricing determined?
Pricing depends on the GPU model, number of GPUs, rental term, and any custom storage or networking requirements. Request a quote and we will provide a written proposal.
Are there restrictions on use?
All rentals are subject to customer and end-use verification, our acceptable use policy, and applicable export control regulations.
Tell us about your workload
Share your model, dataset size, and timeline, and we will recommend the right GPU configuration and rental term.
NVIDIA, RTX, and the NVIDIA logo are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other product names are the property of their respective owners.
Access to certain GPU products is subject to Canadian and U.S. export control regulations. Customer and end-use verification is required for all rentals.