NuvaKit Private AI — Frontier models on your own hardware
NuvaKit Private AI · NVIDIA DGX™ Spark

Frontier AI that never leaves your building.

We put trillion-parameter-class open-weight models on NVIDIA DGX Spark and DGX Station hardware that sits on your desk — wrapped in the full harness that makes it behave like ChatGPT, not like a raw checkpoint. Your team logs in at chat.yourbrand.in. Your data stays on your silicon.

1PFLOPFP4 per Spark
128GBUnified memory
1TParam class · Station
0Bytes to the cloud
chat.yourbrand.in GLM-4.6 355B · ON-PREM · TRY ME
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Live demo of the interface. On your deployment, answers come from your model, on your hardware, over your documents.

The hardware GRACE BLACKWELL · NVLINK-C2C · CONNECTX NETWORKING
NVIDIA DGX Spark on a desk
DGX SPARK · 128GB · FITS IN ONE HAND
Two linked NVIDIA DGX Spark units
2× SPARK · CONNECTX LINK · 405B PARAMS
NVIDIA DGX Station tower
DGX STATION · GB300 · 784GB COHERENT MEMORY
Why a harness

Open weights are an engine.
We deliver the car.

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.

A DOWNLOADED CHECKPOINT
One user at a time — a second question waits in line
No memory, no chat history, no projects
Knows nothing about your documents or data
No logins, no roles, no audit trail
A terminal window, not an interface your team will use
NUVAKIT PRIVATE AI
Whole-team serving — continuous batching keeps 20+ users fast at once
ChatGPT-grade workspace: history, projects, personas, file uploads
RAG over your documents with citations — it knows your business
SSO, roles, per-team quotas and a full audit log
OpenAI-compatible API so your tools and scripts plug straight in
01

Batched, multi-user serving

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.

02

Your documents, cited

Contracts, SOPs, catalogues and drives are indexed on-device. Answers quote their sources, so your team can trust — and verify — what comes back.

03

Admin & guardrails

SSO via NuvaKit Login, role-based access, usage quotas, content guardrails and an audit trail. IT stays in control of every prompt and byte.

04

Quantized, not lobotomized

NVFP4 quantization tuned per model, validated against the full-precision baseline on your own eval set before we hand over the keys.

05

OpenAI-compatible API

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.

06

Model upgrades, managed

Open weights improve every quarter. We benchmark, quantize and hot-swap new releases onto your hardware — the interface your team knows never changes.

The serving engine

Datacenter tricks,
desk-side box.

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.

Continuous batching. New requests join the batch mid-flight; nobody waits for someone else's essay to finish.
Paged KV cache. Memory is allocated like virtual memory pages, so long chats don't evict short ones.
Speculative decoding. A small draft model proposes tokens; the big model verifies — same answer, delivered faster.
Scale by stacking. Link two Sparks over ConnectX for 405B-class models; step up to DGX Station for the 1T class.
nuvakit-serve — live metrics
model glm-4.6-355B-nvfp4 throughput {{ mTps }} tok/s sessions {{ mSess }} active batch occ. {{ mOcc }}% kv cache {{ mKv }}% of 128GB p50 1st tok {{ mP50 }}ms uplink 0 bytes external ✓

Illustrative load: a 20-person team on a single DGX Spark.

Pick your ceiling

From desk-side to trillion-class.

Every tier ships with the same harness. Start small, stack later — the interface your team uses never changes.

TIER 1 · STARTER

DGX Spark

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.


· 128GB unified memory · 1 PFLOP FP4 · Plugs into a wall socket
TIER 2 · GROWTH

DGX Spark ×2

Two units linked over ConnectX. Serves 405B-class models — Llama 4 Maverick, GLM-4.6 — with room for bigger batches and longer context.


· 256GB pooled memory · Tensor-parallel serving · Still fits on one desk
TIER 3 · FRONTIER

DGX Station

Grace Blackwell Ultra tower with 784GB of coherent memory. Runs the 1-trillion-parameter class — Kimi K2, DeepSeek-V3 — for 50+ users.


· 784GB coherent memory · 1T-class MoE models · Standard office power
TIER 4 · YOURS

Your own rack

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.


· Hardware audit included · Air-gapped installs · We spec, you approve
MODELS WE DEPLOY & MAINTAIN Kimi K2 · 1T MoE DeepSeek-V3 · 671B GLM-4.6 · 355B Qwen3 · 235B Llama 4 Maverick · 400B gpt-oss-120b + fine-tunes of any of them
Own vs rent

Cloud AI is a meter.
This is a machine.

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.

Your team's AI usage {{ tokLabel }} tokens / month
CLOUD API · PER MONTH {{ cloudMo }} {{ cloud3y }} over 3 years
PRIVATE AI · ONE-TIME {{ hwCost }} {{ hwTier }}
{{ breakeven }}Months to break even
{{ savings }}Saved over 3 years
Data sovereignty

The most private AI is the one that can't phone home.

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.

Legal & professional

Privileged documents, case files and client records analysed without a single byte crossing the firewall.

Healthcare

Patient data stays inside the clinic. HIPAA / DPDP-friendly by architecture, not by policy PDF.

Finance & audit

Run models over ledgers and deal rooms with a full on-device audit trail for the regulator.

Manufacturing

Air-gapped factory floors get a full AI assistant — no internet required, ever.

FOR AGENCIES & RESELLERS

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.

Partner with us
Questions

Asked before every deployment.

Something else on your mind? Write to us — a human replies within a business day.

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Get a quote

Tell us about your team.

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.

01Scoping call — team size, documents, use cases 02We benchmark candidate models on your eval set 03Hardware arrives, we install on-site, your team logs in
No commitment. Fixed-price proposal, no meters.

Request received.

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.