
As AI moves from model development to production inference, compute demand is accelerating and shifting toward continuously operating AI factories that generate tokens at scale. This shift requires access to large‑scale, multi‑tenant accelerated computing that can come online quickly, stay highly utilized and support the economics of token‑scale AI services.
Emerging AI companies historically have had limited access to capital-intensive infrastructure, with even long-term commitments insufficient to unlock financing for compute.
To address this, NVIDIA is introducing a new business model that opens up compute access to the fast‑growing AI ecosystem of startups, model builders, enterprises, research organizations and regional AI players.
This new model enables AI clouds to procure NVIDIA infrastructure for AI-native, enterprise and ISV customers through economic alignment with a revenue-sharing and credit-support model. Through the partnership, AI clouds will sell NVIDIA-powered cloud services, with NVIDIA earning both standard product revenue and a share of the cloud revenue on the supported capacity. This structure accelerates adoption of NVIDIA platforms among the high-growth, high-conviction AI native sector, and provides NVIDIA with a recurring, usage-linked earnings stream.
For model builders, inference providers, agent platforms and enterprises scaling AI, it can mean faster access to full-stack accelerated computing without waiting through site selection, power procurement, construction and hardware bring-up.
The initiative is already taking shape, with AI cloud companies building DSX AI factories designed to serve customers and workloads across regions.
Sharon AI and Firmus are among the first companies to work with NVIDIA on this new business model.
Sharon AI is deploying up to 40,000 NVIDIA Grace Blackwell GB300 GPUs.
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://blogs.nvidia.com/blog/nvidia-unlocks-ai-compute-at-scale-capital-partners-to-power-ai-infrastructure-buildout/#primary
- https://blogs.nvidia.com/blog/author/colettekress/
- https://blogs.nvidia.com/blog/author/rajmirpuri/
- Nvidia RTX 50 Super GPUs are reportedly ready, but stuck in limbo due to excessive GDDR7 pricing — 3GB GDDR7 module costs triple the price of 2GB
- OpenAI's first hardware device is an RGB macropod — 'Codex Micro' features 13 low-profile keys and a joystick for controlling AI coding agents
- Sharpen the Sword, Skip the Downloads — ‘Onimusha: Way of the Sword’ Is Coming to GeForce NOW
- Robot vacuum flaw lets one stolen certificate run root commands on other Shark robovacs in the same AWS region — unpatched flaw exposes live camera feeds, store
- 'PCIe Gen7 development has already started,' says Silicon Motion's Alex Chou — Nvidia's Storage Next initiative is becoming a focal point
Informational only. No financial advice. Do your own research.