Anyone can download a model. What you get is a single-user script that forgets every conversation, answers one person at a time, and knows nothing about your business. The NuvaKit harness is the difference between a checkpoint and a product.
Continuous batching with a paged KV cache — the engine interleaves everyone's tokens so the accountant and the engineer both get answers in seconds, not turns.
Contracts, SOPs, catalogues and drives are indexed on-device. Answers quote their sources, so your team can trust — and verify — what comes back.
SSO via NuvaKit Login, role-based access, usage quotas, content guardrails and an audit trail. IT stays in control of every prompt and byte.
NVFP4 quantization tuned per model, validated against the full-precision baseline on your own eval set before we hand over the keys.
Every internal tool that speaks the OpenAI API — scripts, agents, IDEs — points at your box instead of the cloud with a one-line base-URL change.
Open weights improve every quarter. We benchmark, quantize and hot-swap new releases onto your hardware — the interface your team knows never changes.
The same techniques that let cloud providers serve millions — continuous batching, paged attention, speculative decoding, tensor parallelism across linked units — tuned for Grace Blackwell silicon under your desk.
Illustrative load: a 20-person team on a single DGX Spark.
Every tier ships with the same harness. Start small, stack later — the interface your team uses never changes.
One palm-sized unit. Runs models up to ~200B parameters (quantized) — GLM-Air, gpt-oss-120b, Qwen3-Next class. Perfect for teams of 5–20.
Two units linked over ConnectX. Serves 405B-class models — Llama 4 Maverick, GLM-4.6 — with room for bigger batches and longer context.
Grace Blackwell Ultra tower with 784GB of coherent memory. Runs the 1-trillion-parameter class — Kimi K2, DeepSeek-V3 — for 50+ users.
Already have GPUs — or want a server room build? We deploy the same harness on your existing hardware, from a single RTX Pro workstation to a full rack.
Per-token pricing punishes you for using AI more. A box on your desk costs the same whether your team sends a hundred prompts a day or ten thousand. Drag the slider to see where the lines cross.
Estimates assume a blended $8 per million tokens for frontier cloud APIs, and include hardware, deployment and our harness in the one-time figure. Power (~$40/mo) included in savings math.
No prompts in someone else's logs. No documents training someone else's model. No terms-of-service update changing the deal. Unplug the network cable and it still works — that's the whole guarantee.
Privileged documents, case files and client records analysed without a single byte crossing the firewall.
Patient data stays inside the clinic. HIPAA / DPDP-friendly by architecture, not by policy PDF.
Run models over ledgers and deal rooms with a full on-device audit trail for the regulator.
Air-gapped factory floors get a full AI assistant — no internet required, ever.
Like everything NuvaKit builds, Private AI is white-label. Sell your clients their own branded assistant on their own hardware — we handle the silicon, you keep the relationship.
Something else on your mind? Write to us — a human replies within a business day.
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We'll come back within two business days with a recommended tier, a model shortlist for your use case, and a fixed price — hardware, harness and deployment included.
We'll reply within two business days with a recommended tier and a fixed-price proposal. Meanwhile, the demo above is a fair preview of what your team gets.