Nvidia in talks to invest further in Reflection AI or buy it, FT reports
- Nvidia is already a major financial backer and strategic investor in Reflection AI, having invested $800 million in the startup, the FT reported
Nvidia is reportedly in early talks to deepen its investment in or acquire Reflection AI, an open-source startup developing AI tools for software development, potentially through an acqui-hire.
- Nvidia's potential acquisition or investment in Reflection AI.
- Reflection AI's AI tools for software development.
- Reflection AI's new open-weight model, Beam.
Nvidia is in talks to deepen its investment in open-source startup Reflection AI or acquire it, the Financial Times reported on Saturday, citing people with direct knowledge of the matter.
Talks are at an early stage and a deal could take several forms, including a so-called acqui-hire arrangement where Nvidia would hire staff and license technology rather than pursue a full acquisition, potentially avoiding a lengthy regulatory review, the newspaper said.
An agreement could be reached in the coming weeks, according to the report, which cited multiple people familiar with the matter, while adding that the discussions could still fall apart.
Nvidia behind $50 billion lease on Texas data center, FT reports
Reflection declined to comment on the FT report, while Nvidia did not immediately respond to a request for comment.
Nvidia is already a major financial backer and strategic investor in Reflection AI, having invested $800 million in the startup, the FT reported.
Founded in 2024 by former DeepMind researchers Misha Laskin and Ioannis Antonoglou, Reflection develops tools that automate software development, a fast-growing use case for AI.
Reflection’s chief executive, Laskin, told CNBC in April that the Nvidia-backed startup was raising fresh capital at a pre-money valuation of $25 billion.
China weighs allowing ByteDance, Alibaba to buy new Nvidia chips, The Information reports
The company on Monday launched its first open-weight model, Beam, as it seeks to compete in coding and agentic tasks with lower-cost Chinese models such as DeepSeek and Kimi.





















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