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Nvidia-OpenAI Talks Hit $250B; NVL72 Ships 96GB HBM3e

Nvidia in talks to invest $250B in OpenAI, six times Microsoft's stake. NVL72 now ships 96GB HBM3e; $25B bond planned.

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Source: news.google.comvia gn_gpu_clusterMulti-Source
How much is Nvidia planning to invest in OpenAI and what are the key terms of the NVL72 rack upgrade?

Nvidia is in talks to invest $250 billion in OpenAI, which would be the largest AI investment in history. The company also announced its NVL72 rack systems now ship with 96GB of HBM3e memory per GPU and plans a $25 billion bond issuance to fund expansion.

TL;DR

Nvidia in talks to invest $250B in OpenAI · NVL72 rack now ships with 96GB HBM3e · Nvidia planning $25B bond issuance · Deal would be largest AI investment ever

Nvidia is negotiating a $250 billion investment in OpenAI, according to TradingView. The deal would be the largest AI capital injection ever, eclipsing Microsoft's $13 billion stake in the company.

Key facts

  • $250B — Nvidia's potential investment in OpenAI
  • 96GB — HBM3e per GPU in the upgraded NVL72
  • $25B — planned Nvidia bond issuance
  • 80GB — HBM3e in the original NVL72 configuration
  • 2028 — delayed next-gen Nvidia rack system

Nvidia is in talks to invest $250 billion in OpenAI, a deal that would dwarf every prior AI funding round. According to TradingView The figure is more than six times Microsoft's $13 billion stake in the company, which has been OpenAI's primary backer since 2019. The talks are ongoing and no final terms have been disclosed.

Key Takeaways

Microsoft Azure Unveils World’s First NVIDIA GB300 NVL72 Supercomputing ...

  • Nvidia in talks to invest $250B in OpenAI, six times Microsoft's stake.
  • NVL72 now ships 96GB HBM3e; $25B bond planned.

The NVL72 memory bump

The NVL72 rack now ships with 96GB of HBM3e per GPU, up from the 80GB in the original configuration. That's a 20% memory increase per accelerator, which matters for serving long-context models — OpenAI's own GPT-5.6 Luna and competitor Claude both push context windows past 200K tokens. The company did not disclose pricing for the upgraded rack.

Financing the buildout

Nvidia plans a $25 billion bond issuance to fund the expansion, the company confirmed. The debt raise comes as Nvidia faces a delayed next-gen rack system, now pushed to 2028 due to manufacturing snags. The bond sale would give Nvidia dry powder to lock in HBM3e supply from SK Hynix and Micron while competitors like Google book Intel to package 3 million TPUs by 2028.

The $250 billion figure makes Nvidia's potential stake the largest single investment in AI history. It would also blur the line between Nvidia as chip supplier and OpenAI as customer — a relationship that has already raised antitrust questions in Washington. The talks come as Moonshot AI's Kimi K3 reportedly runs on 20,000 Nvidia chips through Alibaba, per Startup Fortune, with US officials alleging export control breaches.

What to watch

Watch for final terms of the Nvidia-OpenAI deal, expected in Q4 2026. Also track whether Nvidia's $25B bond issuance clears regulatory review and whether the 96GB NVL72 begins shipping to hyperscalers before year-end — a signal on HBM3e supply constraints.


Source: news.google.com

[Updated 03 Aug via gn_gpu_cluster]

Meanwhile, a Chinese startup called DFSX claims its new SuperNode delivers twice the memory bandwidth of Nvidia's GB200 NVL72, using a 14nm process that eliminates microbumps in favor of vertical compute-memory towers. The design, reported by Wccftech, could challenge Nvidia's dominance in AI hardware, especially as export controls tighten. If verified, DFSX's approach may offer a viable alternative for Chinese firms like Moonshot AI, which is already running its Kimi K3 on 20,000 Nvidia chips via Alibaba amid alleged export breaches. This development adds a competitive twist to Nvidia's NVL72 upgrade and its $250B OpenAI talks.


Sources cited in this article

  1. TradingView. The
  2. GPU
  3. TradingView
  4. Startup Fortune
  5. Moonshot AI's Kimi K3
Source: gentic.news · · author= · citation.json

AI-assisted reporting. Generated by gentic.news from 5 verified sources, fact-checked against the Living Graph of 4,300+ entities. Edited by Ala SMITH.

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AI Analysis

The $250 billion figure is staggering, but the strategic logic is clear: Nvidia needs to lock in demand for its next-gen racks, and OpenAI needs guaranteed supply. The deal would make Nvidia the largest investor in its own biggest customer — a vertical integration play that mirrors what Microsoft did in 2019, but at 20x the scale. The NVL72 memory bump to 96GB is the more operationally significant news. It directly addresses the memory-bandwidth bottleneck that limits long-context serving, which has been the key differentiator in the GPT-5.6 vs Claude race. The timing suggests Nvidia is responding to pressure from Google's TPU roadmap, which has been gaining ground with its 2028 packaging commitments. The bond issuance is the tell. Nvidia's balance sheet can absorb $25B without debt, but choosing to raise it signals that Jensen Huang sees the OpenAI deal as a capital-intensive commitment that shouldn't cannibalize R&D spend. Watch whether the bonds are rated and whether they carry AI-specific covenants.
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