Zenix: AI Infrastructure Orchestration
National computing, delivered as a service.
Governments are pouring over $100B into sovereign AI infrastructure, and almost none of it is usable as a shared service. Zenix is the missing layer that makes it usable: identity, network, machines, GPU and browser access, all provisioned in under a minute on any vendor's hardware. National compute becomes a service for thousands of concurrent users, not a queue behind a handful of workstations.
- <60s Request → Live
- 1,000+ Concurrent Users
- Any GPU Vendor
- 99.9% SLA
- Browser Access, No Client
University · agency · R&D: one form, no tickets.
Orchestration with RBAC: Identity (account, groups, policy) → Network (segments, access rules) → Compute (VM, CPU, RAM) → GPU (shared, quotas, any vendor) → Access in the browser, no client.
Ready in under 60 seconds; GPU notebook in under 30, from any device.
Shared across institutions for maximum utilization; an AI agent reclaims idle capacity 24/7.
TELEMETRY · AUDIT · STATUS, BACK TO THE CORE
Who buys it
For national AI and sovereign-compute programs, government data centers, national research networks and defense R&D units. Signed by the head of a national compute program, a university CIO or a datacenter director.
The data it commands
- Identities, entitlements and role-based policy
- Compute quotas, GPU utilization and golden images
- A complete audit trail of every allocation and action
- Residency: sovereign facilities, isolated networks, full control
Why it wins
- Rides the sovereign-AI wave: every state is buying GPUs, almost none can run them as a shared service. Zenix is that operating layer.
- Multi-vendor by design: buy any hardware, orchestrate all of it, with no lock-in to a single chip or cloud stack.
- Pays for itself: ~30% of capacity reclaimed from idle, 90% fewer manual tickets, and legacy VDI retired in the same move.
- One pipeline from identity to browser, not a single layer bolted onto someone else's stack.
What's inside the platform
- Identity: accounts, groups and RBAC policy across every institution on the pool.
- Network: segmentation and access rules that isolate tenants on shared hardware.
- Compute & GPU: VM, CPU, RAM and shared GPU with quotas, on any vendor's silicon.
- Access: full desktop and GPU notebooks in the browser, with no client to install.
- National GPU pool shared across institutions, with an AI agent reclaiming idle capacity 24/7.
- Full telemetry and audit on every request, user and machine.
- Sub-minute provisioning at scale: request-to-live in under 60s, GPU notebook in under 30s, 1,000+ concurrent users at 99.9% SLA.
Selected work
- National sovereign-compute program: Built as the shared operating layer for a national sovereign-compute program, turning a GPU procurement into a service for thousands of users instead of a queue.
- National research network: Deployed across a national research network to pool GPU capacity between institutions behind a single identity-to-browser pipeline.