Dedicated GPU Compute

Your workload.
Dedicated capacity.

Servon owns and operates GPU hardware. Rent a dedicated machine directly, discuss a longer term, or request a compute environment for your application.

Two access paths

Direct rental

Work directly with Servon on machine configuration, rental duration, availability, and commercial terms.


Marketplace access

Selected capacity may also be distributed through established GPU compute marketplaces, including Vast.ai.

Compute for the work in front of you.

01

AI training

Development, fine-tuning, and experiments with application-specific GPU and memory requirements.

02

AI inference

Dedicated resources for serving models to applications, agents, and internal workflows.

03

Rendering

GPU capacity for visualization, content production, and sustained rendering jobs.

04

Simulation & HPC

Compute-intensive engineering, simulation, and technical analysis.

05

Research computing

Configurable environments for laboratories, universities, and independent research.

Rows of equipment racks, overhead cable trays and a raised ventilation floor inside a data center
Data-center deployment environment · Illustrative photograph · Photo credits

Configuration before commitment

Tell us what you need to run.

The useful specification includes your software stack, GPU or VRAM requirements, CPU and memory, storage, network, duration, and target start date.

  • Dedicated GPU servers and long-term rentals
  • AI training and inference environments
  • Custom software and hardware requirements
  • Business and individual customers
Discuss your configuration

Before you rent

Can we rent directly from Servon?+

Yes. Contact Servon for dedicated-machine and longer-term rental requirements. Selected capacity may also be offered through marketplaces.

Which GPUs and configurations are available?+

Availability changes. Share your requirements and request a current configuration and commercial proposal.

Can you support a specific environment?+

Discuss the operating system, frameworks, storage, access, and network requirements with the team. The supported scope is confirmed for the engagement.