Nvidia considering acquisition of Reflection AI, Financial Times reports
The financial talks are early, neither party has confirmed anything – but the numbers, the Groq precedent, and the race against Chinese open models make this worth watching closely. That is what the Financial Times claims, and nothing has yet been confirmed.
What Is Actually Being Reported
On Saturday, October 10, 2026, the Financial Times reported, citing people with direct knowledge of the matter, that Nvidia is in talks to either expand its investment in Reflection AI or buy the company outright. According to the newspaper, the talks are at an early stage, a deal could come "within the coming weeks," and the talks could also fall apart.
There is no confirmation. Reuters said it was unable to verify the FT report, and neither Nvidia nor Reflection responded to requests for comment outside normal working hours. Everything that follows, then, is source material and analysis around an unconfirmed rumor – not a done deal (475d7730).
Three Deal Structures on the Table
According to Reuters, three structures are under consideration (efd582e1):
- Acqui-hire. Nvidia hires Reflection's employees and licenses the technology instead of buying the company. FT points out that such a solution could potentially avoid a lengthy merger review – but that is a theoretical advantage, not a guarantee. Analysis from Yahoo Finance concludes that the structure can bypass some merger control requirements, but does not eliminate antitrust scrutiny (1625ded4).
- Expanded chip supply. An agreement to supply Reflection with more chips – a solution that strengthens the compute foundation without changing ownership.
- Increased ownership stake. Nvidia increases its existing stake in the company.
Which structure wins is unknown. So is the price: no purchase price has been reported.
What We Know About Reflection AI
Reflection AI was founded in 2024 by former DeepMind researchers Misha Laskin and Ioannis Antonoglou and develops tools that automate software development, one of the fastest-growing areas of AI (475d7730).
The numbers circulating need to be kept apart:
- Nvidia has already invested $800 million in the company, according to the FT (475d7730).
- In total, Reflection has raised nearly $2.6 billion from investors including Nvidia, Sequoia Capital and Lightspeed (4b841f21).
- $25 billion is a pre-money valuation in a funding round – a statement that current CEO Misha Laskin gave to CNBC in April. It is therefore not a deal price, and not something Nvidia has confirmed (475d7730).
The company has also secured computing capacity through billion-dollar agreements with Elon Musk's SpaceX and cloud provider Nebius Group, according to Bloomberg (efd582e1).
Beam and the Battle Over Open Models
The context is no coincidence. On October 5, Reflection launched its first open-weights model, Beam, aimed at coding, advanced reasoning and agentic tasks – AI systems that carry out multi-step tasks on their own (b3b38bca). The goal is to compete with cheaper Chinese open models such as DeepSeek and Kimi (475d7730).
By its own account, Reflection claims that Beam's performance on advanced reasoning benchmarks is on par with GLM-5.2, a flagship model from China's Z.AI. This is the company's own benchmark claim, not independently verified (efd582e1).
The strategic framing is clear. Nvidia CEO Jensen Huang has argued that American development of open models can reduce dependence on cheaper Chinese alternatives, according to Bloomberg. And Donald Trump's AI action plan from July 2025 called for ensuring that the US retains leading open models (efd582e1). Nvidia is no newcomer to the field – the company already has a model business with its open Nemotron models, and an acquisition would significantly expand it (4b841f21).
The Groq Precedent
An acqui-hire would not be an unfamiliar maneuver for Nvidia. In December 2025, the company licensed the technology of chip startup Groq and hired its CEO, in a deal CNBC valued at around $20 billion. Yahoo Finance points out that the same playbook could be repeated here (1625ded4).
But the regulatory question is compound: an acqui-hire can potentially escape part of the merger control that a full acquisition would trigger, but it does not eliminate antitrust scrutiny. With a market leader like Nvidia buying up competitive capability in open models, it is realistic that competition authorities would look more closely at the arrangement regardless of structure.
Can Nvidia Afford It?
Financing is hardly the obstacle. Nvidia generated around $127 billion in free cash flow over the last four quarters (1625ded4) – even a full acquisition price in the range of Reflection's April valuation would be manageable for the company. The real question is strategic and regulatory, not financial.
The Open Questions
Three things remain to be answered. First, the price – no purchase price has been reported, and the $25 billion figure is a funding valuation from April, not a bid. Second, the structure – acqui-hire, chip deal or increased ownership stake, with very different consequences for control and regulation. And third, the very existence of the deal: the talks are early, unconfirmed by both parties, and could according to the FT fall apart. Until then, there is no deal – only a strong rumor with good context around it.