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AI & Agents

Agents in their own isolated environment

We host AI agents on the Kubernetes we already run, each agent in its own virtual-machine-backed sandbox, on GPU servers we build in house. Vendor agnostic: NVIDIA, AMD, Intel, Ascend, Tenstorrent.

Hosted agents

Agents run on the Kubernetes we already operate, each in its own sandbox, so the isolation boundary is a virtual machine rather than a namespace.

Isolation

Virtual-machine-backed sandboxes

Every hosted agent gets its own sandbox on the cluster we already operate. The workload looks like a container to the orchestrator and behaves like a virtual machine to the host, which is what you want when the code running is not yours.

Hosted agents

Vendor agnostic

We do not build around one GPU vendor. The stack is chosen for the workload, not the brand.

GPU vendors

NVIDIA, AMD, Intel, Ascend, Tenstorrent

We work across NVIDIA, AMD, Intel, Ascend and Tenstorrent. Vendor choice follows the model, the toolchain and the budget — not a partnership agreement.

Custom builds

In-house custom builds

We build our own GPU servers: four to six GPUs per server, liquid cooled, in a chassis we design rather than buy. Building them ourselves is what lets us mix vendors in the same rack.

What we do on an AI infrastructure engagement

  • Host agents in their own virtual-machine-backed sandboxes, with resource limits and audit logging per agent
  • Size the GPU estate for the model you actually serve, across vendors
  • Build and cool the servers in house, then run them
  • Wire the inference stack: serving, batching, quantization and observability

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