
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/
- Lenovo announces world's first laptop with inkjet-printed OLED — the Legion R9000P is equipped with a 240 Hz IJP panel from TCL CSOT
- Retro Nintendo Switch 2 dock looks exactly like the Nintendo 64 and holds six Game Cards in its cartridge slot — the 64BITDOCK is available now starting at $89
- China claims chip exports nearly doubled to $177 billion in the first half of 2026 as memory prices surged — 96% year-on-year increase inflated by hikes
- Boutique DIY Hi-Fi solution lets you repurpose your old IDE optical drives as a standalone audio player — $190 CD-ROM Player 01 features a laser-cut enclosure a
- Developer successfully ports Linux to 1994 Sega 32X — Genesis and MegaDrive expansion runs open-source OS on paltry 23MHz processors and 256KB of RAM
Informational only. No financial advice. Do your own research.