The silicon of the owner-operated AI factory.
Worked backwards from NVIDIA's real business — the platform behind the largest infrastructure buildout in history, now pushing hard to the edge, to inference, and to sovereign AI. NVIDIA silicon is the bill-of-materials for what 🤫 is building: a distributed grid of owner-operated AI factories in America's garages and warehouses — Jetson Thor at the edge, GB300 and Vera Rubin in the warehouse, NIM and Nemotron on every node, DGX Spark as the personal supercomputer. You sell the 'own your compute' hardware; we put it to work, owner by owner, consent-first.
Written from public information, by NVIDIA admirers. A proposal in pursuit — not a claim of partnership, endorsement, or investment by NVIDIA.
Why NVIDIA × 🤫 is obvious — in one look.
Your thesis is that AI factories are the largest infrastructure buildout in history — and you're pushing to the edge and sovereign AI.
We operate owner-by-owner AI factories in American garages and warehouses, on NVIDIA silicon, on Starlink.
A distributed, consent-first deployment surface and real edge + sovereign-AI volume, ZIP by ZIP.
Jetson Thor, NIM, and DGX Spark are your edge and 'personal supercomputer' stack for physical and agentic AI.
They're the exact BOM for 🤫 Puppy One and Agent One, running on hardware the human owns.
An owner-operated channel that turns your edge products into a living grid.
Inference (Rubin CPX) is the next volume driver, and it's cost-sensitive.
Millions of private, on-device and edge agents are inference demand you never have to host.
Distributed inference at the lowest cost per watt — on your silicon, off your data centers.
How NVIDIA wins, honestly.
NVIDIA is now overwhelmingly an AI data-center infrastructure company — a full-stack hardware, software, and systems franchise, not a merchant chip vendor. Every figure is public (NVIDIA FY2026 & Q1 FY2027 filings) and approximate.
Up 65% YoY, with ~$120B net income — among the most profitable franchises in the world.
$193.7B of FY2026 revenue was Data Center — NVIDIA is the AI-factory company.
Low-to-mid 70s% — the CUDA + full-stack moat, not a commodity chip.
Up 85% YoY — a record, with Data Center ~92% of the total.
The new 'Edge Computing' platform — PCs, workstations, robotics, automotive, AI-RAN, agentic and physical AI.
Huang's framing of the Blackwell + Vera Rubin revenue opportunity from 2025 through 2027.
CUDA, the full-stack rack, and an annual cadence.
NVIDIA's moat is software, systems, and pace. These are the strengths a partnership builds on.
CUDA + the software moat
Two decades of libraries and the world's largest install base of trained developers — the switching cost that defines the platform.
The full-stack rack
GPUs + NVLink (scale-up) + Spectrum-X/InfiniBand (scale-out) + BlueField DPUs — NVIDIA sells the whole AI factory, not just a chip.
Annual architecture cadence
Blackwell → Blackwell Ultra → Vera Rubin → Rubin Ultra — a yearly rhythm that is itself a competitive weapon.
The edge stack
Jetson Thor and IGX Thor bring Blackwell-class compute to the edge, and RTX PRO to the workstation — physical AI, on-site.
NIM + Nemotron
Packaged, self-hostable inference microservices and open models — so an agent runs locally, not phoning home to a rented cloud.
Omniverse, Isaac & GR00T
Digital-twin, robotics, and world-model platforms — the physical-AI toolchain for owner-operated fleets.
Vera Rubin, Rubin CPX, and Jetson Thor.
What NVIDIA shipped or announced most recently — the surfaces a partnership plugs into. Stated honestly, shipped vs. announced.
Blackwell Ultra / GB300
Shipping/ramping in 2026 — 288GB HBM3e, dual-reticle, the current warehouse-class rack for training and inference.
Vera Rubin (NVL72)
Shipping H2 2026 to named clouds and OEMs — 72 Rubin GPUs + 36 Vera (Arm) CPUs, the next-generation AI-factory rack.
Rubin CPX (inference)
A GPU purpose-built for massive-context inference (expected end 2026) — the clearest signal that inference is the next volume driver.
Jetson Thor + DGX Spark
Jetson Thor: Blackwell at the edge, shipping since Nov 2025 at $3,499, 2,070 FP4 TFLOPS. DGX Spark / Station: a personal supercomputer on your desk.
What NVIDIA is building toward.
AI factories
Huang: 'the buildout of AI factories — the largest infrastructure expansion in human history — is accelerating.' The central thesis.
The agentic inflection
Huang: 'the agentic AI inflection point has arrived' — capable, tool-using agents driving exponential compute demand.
Inference at scale
Rubin CPX signals that cost-efficient, large-context inference — not just training — is the next volume driver.
Physical AI & robotics
Huang: 'every industrial company will become a robotics company' — Jetson Thor, Isaac, GR00T at the edge.
Sovereign AI
Nations building domestic AI infrastructure as critical infrastructure — a named growth driver.
The edge
The new Edge Computing platform — bringing the same silicon that powers hyperscale down to on-device and on-site.
The people carrying it.
Our respectful reading of public roles and priorities — so any partnership makes each of their jobs easier, not harder.
Jensen Huang
Founder, President & CEO
Sets the AI-factory thesis and the annual cadence — from GPU vendor to full-stack platform, now to the edge and physical AI.
Colette Kress
EVP & CFO
Capital allocation across the largest infrastructure buildout in history — turning demand visibility into disciplined growth.
Michael Kagan
CTO (ex-Mellanox)
The networking + systems technology that makes the full-stack rack a moat.
Jay Puri
EVP, Worldwide Field Operations
Global go-to-market — the enterprise, cloud, and sovereign relationships.
Ian Buck
VP & GM, Accelerated Computing
One of CUDA's originators — the accelerated-computing platform and the hyperscale/HPC data-center business behind the AI factory.
Bryan Catanzaro
VP, Applied Deep Learning Research
Applied deep-learning research — the models and software (NIM, Nemotron) that make the silicon useful at the edge.
Buy together. Build together. Sell together. Take risk together.
Every move maps to a real, shipping or announced NVIDIA product — the BOM for owner-operated AI factories, and the edge silicon for on-device agents.
Build together — the factory-grid BOM
Jetson Thor / IGX Thor at the edge; GB300 and Vera Rubin NVL72 in the warehouse; NIM + Nemotron for inference.
Standardize the 🤫 Puppy / Garage / Warehouse / Factory One BOM on this stack, with NIM + Nemotron as the on-node inference layer so Agent One runs owner-operated.
NVIDIA gets an owner-operated deployment surface; the human runs frontier help on hardware they own.
Build together — the personal supercomputer
DGX Spark and Station put NVIDIA compute on the desk.
Position them as the personal supercomputer at the heart of the distributed grid — a capital asset, not a rental.
'Own your compute — turn your personal supercomputer into a business asset,' on NVIDIA.
Sell together — the edge + sovereign channel
NVIDIA is pushing edge and sovereign AI hard.
Garage and warehouse owners become an owner-operated distribution surface for Jetson/RTX/DGX — the ZIP-by-ZIP directory as a real deployment map.
NVIDIA gets edge and sovereign volume; we get a co-marketed, credible compute spine.
Buy together — volume BOM + financing
NVIDIA has the Inception program and DGX Cloud / financing rails.
Volume BOM purchasing for the Fund-A / Factory One rollout, with a pre-configured NVIDIA-inside Puppy One as the default 'one tap to done.'
NVIDIA gets committed volume; owner-operators get lower capex and a turnkey node.
Take risk together — pilot AI factories
Huang cites ~$1T of Blackwell + Rubin opportunity through 2027.
Co-fund pilot AI factories in cheap-power, high-sunshine regions on Vera Rubin — NVIDIA shares demand visibility, we take the distributed-operator risk.
A new, community-owned category of AI factory — the physical-AI frontier, together.
Build. Sell. Buy. Take risk.
Standardize the grid on NVIDIA
Jetson Thor edge nodes, GB300/Vera Rubin racks, NIM + Nemotron inference — the BOM for owner-operated AI factories.
The owner-operated edge channel
Garage and warehouse owners as a real-world deployment surface for NVIDIA's edge and sovereign-AI push.
Volume BOM + turnkey Puppy One
A pre-configured NVIDIA-inside Puppy One as the default node, financed for the owner-operator.
Pilot AI factories
Co-fund solar-cooled pilots on Vera Rubin where cost per watt is lowest — shared demand, shared upside.
Distributed inference at the lowest cost per watt — for everyone.
NVIDIA's edge and inference stack is precisely the layer 🤫 Agent One needs to run on hardware the human owns. Millions of private, on-device and edge agents are inference demand that never touches a hyperscale data center — served on NVIDIA silicon at the lowest cost per watt, across American communities. And 🤫 Agent One is free for life to every US federal and state government employee and every past or present service member who helps build and run the grid.
Buy together. Build together. Sell together.
The best business is fun when there is real money to be made and real value created for the people we both serve. That is the only partnership we will build — and we would be proud to build it with NVIDIA.
What this is, and isn't.
This is our proposal, assembled from public information — not a claim of partnership, endorsement, sponsorship, or investment by NVIDIA. NVIDIA is not currently a partner of HushOne or Hushh Technologies; our reading of NVIDIA's leadership and roadmap reflects public statements, and roadmap products (Vera Rubin, Rubin CPX) are described as announced, not shipping. NVIDIA, CUDA, Jetson, DGX, and related marks are trademarks of NVIDIA Corporation. Our own certifications are 'in pursuit' until a 3PAO assessment or agency ATO says otherwise. Any future relationship would be built consent-first, with the person's ownership and control intact.