GENOMA LABS / Sovereign Model Serving

Sovereign Model Serving

GENOMA Labs trains and serves its models on hardware it owns. The weights, the serving software, and the compute sit inside one boundary, operated by the same team that built the models. There is no third-party inference API in the core serving path.

This is a practical position, not a slogan. GENOMA builds models for specific applications, from robotics VLA and world models to engineering, simulation, and training-learning systems. The customers for that work run machines, plants, and fleets. They need to know where their data goes and who controls the model that touches it.

Why sovereign AI

Frontier model APIs are expensive and restricted. Open-weight alternatives often carry provenance questions. And proprietary data should never leave systems you control.

That is why GENOMA Labs exists: application-specific models made for your needs, deployed on cloud compute or fully local, free of the restrictions of general-purpose frontier models, built to work on sensitive information inside your own perimeter.

Why sovereignty matters for industrial data

Industrial customers work with material that does not belong on someone else's servers: service documentation, parts data, machine configurations, operational records. When inference runs on infrastructure the operator controls, that material stays inside a known boundary. There is no external API whose terms, rate limits, or model versions change without notice, and availability does not depend on another company's status page.

Sovereignty also makes behavior reproducible. A model that is pinned, versioned, and served locally answers the same way tomorrow that it does today. The same requirement shapes COPMA AI, GENOMA's AI platform for the heavy-equipment industry, where answers about machines have to be stable and checkable.

GENOMA Pods, the hardware layer

Sovereign serving needs hardware that can be deployed where the work is, so GENOMA builds its own compute layer. GENOMA Pods are L-series compute capsules that link from a single rack to a full data hall. The L400 capsule is built around a few concrete choices:

  • Printed double-lattice structure that manages its own thermal load.
  • Stacked graphics cards with rack-level humidity and temperature sensing.
  • On-site assembly without heavy equipment, so capacity can grow inside an existing facility instead of waiting on a construction project.

KALYPSO on the sovereign stack

KALYPSO is the model that proves the stack. KALYPSO v1.1L is a 15-billion-parameter coding and agent-orchestration model with open weights on Hugging Face under Apache-2.0. v1.2L is the production serving line, running on GENOMA's own hardware.

Serving locally does not lower the bar for what ships. Every model generation is checked by deterministic gates before release: outputs are verified by running them, not by reading them. Owning the serving path means owning that verification loop end to end, from the training run to the request a customer sends.

Questions

What does sovereign model serving mean?

Training and inference run on infrastructure GENOMA owns and operates. The model weights, the serving software, and the compute sit inside one boundary, with no third-party inference API in the core serving path. Requests and the data they carry are handled on that infrastructure.

Can I run KALYPSO on my own hardware?

Yes. KALYPSO v1.1L is released with open weights under Apache-2.0 and is public on Hugging Face, so you can download it and serve it on infrastructure you control. GENOMA's production serving line is v1.2L, served on GENOMA's own stack.

What hardware does GENOMA serve on?

GENOMA Pods, the company's L-series compute capsules. The L400 uses a printed double-lattice structure with self-managed thermal load, stacked graphics cards, and rack-level humidity and temperature sensing. Capsules link from a single rack to a full data hall and are assembled on site without heavy equipment.