Division 03 · Newest offer
A dedicated machine that runs several coding-oriented LLM models side by side, wired into the editors and agents your team already uses. We build it, we host it, we keep it running — and nobody else shares it.
What you get
We deploy a curated set of code-specialised open models behind a single OpenAI-compatible API, so your tools can switch models without changing configuration.
Your instance is a physical machine assigned to your company. No shared GPUs, no cross-tenant queueing, no third-party training on your prompts.
Antares handles provisioning, model updates, monitoring and capacity planning. You get a running endpoint and a status view in the portal.
Configurations
Solo builders and small teams
Product teams shipping daily
Engineering orgs and agencies
Indicative configurations. Pricing is quoted per build after a requirements call.
Delivery
Team size, editors and agents in use, context-length needs, data residency constraints.
We source the GPUs through our own import channel, assemble, and stress-test the machine.
Your chosen coding models are installed, benchmarked and exposed behind a private endpoint.
Credentials, usage guidance, and portal access for status and utilisation.
Monitoring, updates and capacity adjustments for as long as the server is with us.
Tell us how your developers work and we will spec a machine for it.
