Vista, Intel back SambaNova in $350m round
February 6, 2026 at 23:09 UTC

Key Points
- Vista Equity Partners is leading a Series E funding round of over $350 million in AI chip startup SambaNova Systems.
- Intel, an existing investor, plans to commit about $100 million, with potential to increase its investment to $150 million.
- The oversubscribed round comes as demand rises for inference chips to power AI applications and challenge Nvidia.
- Vista’s move into SambaNova marks a rare step outside its stated focus on enterprise software investments.
Vista leads major new round in SambaNova
Private equity firm Vista Equity Partners is leading a new funding round of more than $350 million in artificial intelligence chip startup SambaNova Systems, according to people familiar with the matter. The financing is structured as a Series E round and is described as oversubscribed, indicating strong investor demand.
Vista is investing through a partnership with early-stage venture capital firm Cambium Capital, three sources told Reuters. The deal terms, including SambaNova’s valuation, have not been determined publicly, and the sources cautioned that fundraising is ongoing and terms could still change.
Vista, SambaNova and Cambium either declined to comment or did not immediately respond to requests for comment, while Intel also declined to comment, the reports said.
Intel’s role and focus on AI inference chips
Other investors in the SambaNova round include existing backer Intel Corp, which currently plans to invest about $100 million, with potential commitments of up to $150 million, according to two of the sources. The new capital is intended to help SambaNova compete with market leader Nvidia Corp and address rising demand for inference chips used in AI applications.
Inference chips are used to run AI models quickly and efficiently once they are trained, and interest in such hardware has intensified as more companies deploy AI services at scale.
Vista steps outside its enterprise software focus
The investment marks a rare shift for Vista, which manages more than $100 billion in assets and states on its website that it "invests exclusively in enterprise software companies." Vista is best known for large software transactions, including its 2022 acquisition of cloud computing company Citrix Systems and its 2025 purchase of software company Nexthink.
The move into AI chips comes as software stocks have been under pressure in recent months. AI has shifted from a tailwind for many software companies to a potential source of disruption, contributing to a selloff in global software shares this week that wiped out nearly $1 trillion in market value as investors reassessed valuations.
Rising investor interest in Nvidia rivals
SambaNova’s fundraising is part of a broader surge of interest in AI hardware targeting Nvidia’s dominant position. Reuters reports a flurry of dealmaking around Nvidia challengers as AI companies seek alternatives to Nvidia GPUs that can run inference workloads more quickly and efficiently.
AI chipmaker Cerebras Systems said this week that it raised $1 billion in a funding round valuing the company at $23 billion. That round was led by Tiger Global and included participation from 1789 Capital, which is backed by Donald Trump Jr., according to the report.
In December, SambaNova rival Groq reached a deal with Nvidia for Nvidia to license Groq’s technology in a $20 billion all-cash deal and hire much of Groq’s team. Earlier Reuters reporting cited in the articles said that OpenAI held talks with both Groq and Cerebras about compute supply deals as it looked for alternatives to Nvidia GPUs to meet fast-inference needs.
Key Takeaways
- Vista’s leadership of a large SambaNova round underlines growing capital flows into AI hardware despite pressure on software valuations.
- Intel’s planned investment reinforces incumbent chipmakers’ interest in supporting specialized AI startups alongside their own product roadmaps.
- Recent financings for SambaNova rivals Cerebras and Groq show intensifying competition among Nvidia alternatives focused on AI inference performance.
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