UK registered trade mark UK00004301576 · Classes 9, 35, and 42 · registered owner AISC Technologies Ltd.
PRIVATE AI PRODUCT PLATFORM
Build your own commercial LLM.
Fine-tune licensed 8B–12B open-weight models locally through the integrated JupyterLab environment. Keep sensitive data on your DGX Spark. Extend approved workloads to hyperscale through HYBT Sovereign Bridge.
JupyterLab integratedLoRA / QLoRA workflowsLocal-first data plane
COHERENT MEMORY128 GB
RECOMMENDED FT RANGE8B · 9B · 12B
Official NVIDIA product photography
01ComputeUp to 1 PFLOP FP4
02Memory128 GB unified
03Storage4 TB NVMe
04NetworkConnectX-7 · 200 Gb/s
VERIFIED PROGRAM STATUS
HYBT Technologies, Inc. is a member of NVIDIA Inception.
HYBT participates directly in the NVIDIA Inception program and manages a DGX Spark allocation workflow for qualified organizational buyers, subject to device availability and applicable NVIDIA program terms.
HYBT Technologies, Inc. holds Registered tier status in the IBM Partner Plus program.
NVIDIA Inception membership is not an endorsement, partnership, or certification by NVIDIA. NVIDIA and the NVIDIA logo are trademarks and/or registered trademarks of NVIDIA Corporation.
THREE OPERATING MODESOne local system.
One local system.
Three commercial paths.
Fine-tune your domain model
Adapt a commercially permitted 8B, 9B, or 12B base model with LoRA or QLoRA, your governed dataset, evaluation suite, and brand-specific deployment package.
Explore the workflow ↘Connect to hyperscale safely
Use HYBT Sovereign Bridge for policy-controlled cloud agents, minimized payloads, two isolated encrypted tunnels, and an auditable local-to-cloud boundary.
View the bridge ↘Run NVIDIA model families
Deploy Nemotron, NIM microservices, NVIDIA Playbooks, and supported agent workflows locally without turning the system into a cloud-only endpoint.
Browse official resources ↘
01 / LOCAL MODEL FACTORYFrom a licensed base model
From a licensed base model
to your commercial AI product.
DGX Dashboard includes integrated JupyterLab. HYBT adds a repeatable repository workflow for data preparation, parameter-efficient tuning, evaluation, adapter export, and controlled serving.
Select
Choose an open-weight model whose license permits your intended commercial use.
Prepare
Curate, classify, and govern the domain dataset inside the local environment.
Tune
Run LoRA or QLoRA in JupyterLab with an 8B–12B recommended operating range.
Evaluate
Compare the adapted model against task-specific quality and safety criteria.
Package
Export adapters or a permitted merged artifact with model card and deployment controls.
Deploy
Serve locally under your product identity or route approved tasks through Sovereign Bridge.
IN [ 04 ]
model = load_base_model(
license_checked=True,
quantization="4bit"
)IN [ 05 ]adapter = train_lora(
dataset="local://governed",
export="brand-model-v1"
)INTEGRATED DEVELOPMENT ENVIRONMENT
Start in the browser. Compute stays on the system.
Each JupyterLab working directory can create its own virtual environment with recommended packages. HYBT repositories provide the reproducible training and deployment layer.
Commercial rights depend on the base-model license, source dataset rights, and export method. Fine-tuning does not replace those obligations.02 / HYBT SOVEREIGN BRIDGELocal intelligence.
Local intelligence.
Hyperscale reach.
A subscription access layer for cloud agents and accelerated services without exposing the entire local data plane.
View Bridge Access →LOCAL ZONEDGX SparkModels · RAG · datasets
AES-256
HYBT POLICY GATEPII minimizationTokenization · allowlist · audit
AES-256
HYPERSCALE ZONECloud agentsApproved tools · burst compute
Two isolated tunnels
Independent encrypted transport segments separate the local node, policy gate, and approved cloud route.
Data minimization
Sensitive PII remains blocked from outbound flows; only policy-approved, minimized, tokenized, or pseudonymized payloads may cross.
AES-256 payload protection
Application payloads are encrypted, with keys and tunnel credentials managed independently from model workflows.
Auditable boundary
Every approved connector, route, payload class, and agent action is designed for review and operational logging.
03 / NVIDIA MODEL ECOSYSTEMOfficial models, runtimes,
Official models, runtimes,
and validated playbooks.
Nemotron Nano 9B
NVIDIA reasoning and chat model for instruction following, coding, RAG systems, and agent workflows.
Open in NVIDIA NGC ↗Nemotron Nano 12B VL
Vision-language model deployment path available from NVIDIA Build for supported self-hosted environments.
Open NVIDIA Build ↗DGX Spark Playbooks
NVIDIA-maintained setup guides for PyTorch, NeMo, Unsloth, LLaMA Factory, Nemotron, NIM, agents, and inference runtimes.
Open GitHub repository ↗PATH 01 / ORGANIZATIONS
Deploy your Private AI system.
Review the system, official hardware reference price, technical specifications, Fine-Tuning Studio, and Sovereign Bridge options.
Private allocationHardware-only price confirmed in the order · logistics, duties, taxes, and services are separate
Configure & Buy →PATH 02 / REGIONAL INTEGRATORS
Apply for regional authorization.
Complete an institutional qualification form covering market presence, verified business identity, deployment capability, annual volume, support capacity, and compliance declarations.
Start Partner Application →