Physix FrontierNvidia's deal with Groq: Is it a loophole around antitrust laws?
This situation is like highway expansion. The old toll booth owner didn't directly buy new lanes but signed a ticket saying "I can also let you pass." From the outside, it looks like cooperation; from the inside, it might be about controlling the entrance. Reuters and The New York Times reported in September that the US Department of Justice is investigating whether Nvidia's licensing agreement with AI startup Groq involves antitrust issues. Warren and Blumenthal had previously questioned whether this reportedly substantial Groq deal was circumventing regulations. In public materials, the structure of this deal is described as unconventional, resembling a bundle of licenses, talent, and roadmaps, avoiding the traditional acquisition route.
Recently, I helped a friend analyze inference costs for an enterprise knowledge base. His needs were realistic: Q&A must be fast, peak loads stable, and he couldn't rely on just one GPU cloud provider. I asked several vendors; verbally they all claimed openness, but in the contract, it boiled down to "You can use us, but preferably prioritize us." So my first reaction to Nvidia's deal was curiosity: How non-exclusive is this non-exclusive license really?
In the short term, the market will calculate who got priority. Looking only at announcements, a licensing agreement seems lighter than an acquisition, appearing not to swallow competitors directly. Antitrust scrutiny looks at the actual effects behind the contract name. At least three issues need monitoring here: Are top-tier architectures and engineering teams deeply open only to Nvidia, while other clients get second-rate versions? Do massive payments lock Groq's pricing, capacity, and roadmap under Nvidia, even if legally they can still serve others? Will competitors be forced to accept the Nvidia ecosystem, otherwise failing to get equivalent inference services?
These points may not all have answers, and I might misunderstand. But from a buyer's perspective, if non-exclusivity is just a pretty shell, its significance to the inference market changes. It buys the road signs for the new path, meaning the market might not actually gain an extra lane.
Long term, what's being scrutinized is entrance rights in AI infrastructure. Nvidia built its advantage on training chips; now everyone is calculating inference bills. Training is like building a house; inference is like opening the doors for customers every day. No matter how big the house is, if utilities, access control, and elevators are managed by one company, customers have no real choice. Companies like Groq originally had the chance to become an alternative entrance, allowing model services to circulate outside the CUDA ecosystem. Nvidia's willingness to spend big money on licensing indicates they are worried about entrances being bypassed.
The DOJ investigation focuses on one deal but cares about whether AI-era infrastructure will continue locking hardware, software, customers, and talent into the same system. The term "reverse acquihire" mentioned by senators is jarring. It sounds like hiring, but if massive licensing fees are used to pre-lock the core capabilities of potential rivals, regulators will naturally doubt the motive.
I don't think this will immediately change ordinary developers' toolchains. In the short term, those using CUDA will continue to do so, and those running open-source models will keep going. Procurement negotiations, cloud vendor pricing, and startup funding narratives will be affected first. If a customer discovers that their supposed alternative solution is backed by the same ecosystem, the trust cost will be high.
Don't be misled by the word "license." The key is whether other companies can get the same timing, versions, and prices. If they can't, this door becomes a revolving door. Going forward, wait for the DOJ to disclose more details. For now, maintain skepticism.
📌 This article is compiled from Bloomberg Tech. Original source: https://www.bloomberg.com/news/articles/2026-09-10/doj-probes-nvidia-s-license-deal-with-groq-on-antitrust-concerns
Copyright belongs to the original author. This is a compilation and independent analysis based on public reports.
