Meta to Acquire Rivos, a RISC-V Chip Startup for AI Power
ByAinvest
Wednesday, Oct 1, 2025 7:46 am ET1min read
META--
The acquisition is aimed at accelerating Meta's work on its custom-built, in-house AI accelerator chips, known as the Meta Training and Inference Accelerator (MTIA). Rivos brings expertise in designing GPUs and AI accelerators based on the open-source RISC-V architecture, which could potentially replace Nvidia GPUs in Meta's data centers [1].
Meta has been heavily investing in AI infrastructure, spending billions on GPUs from Nvidia and other manufacturers. The company recently signed a $14.2 billion deal with CoreWeave Inc. for AI chip access over the next six years [1]. By developing its own AI chips, Meta aims to cut infrastructure costs and decrease its dependence on third-party hardware providers .
Rivos' focus on RISC-V architecture presents an opportunity for Meta to develop one of the highest-profile RISC-V chips to date. This open-source alternative to Arm and x86 architectures could potentially avoid expensive licensing fees associated with proprietary designs [1].
This acquisition aligns with Mark Zuckerberg's initiative for 'personal superintelligence' and Meta's broader push into AI [1]. However, the company has faced challenges in its internal chip development efforts, with Zuckerberg reportedly dissatisfied with the slow pace of the MTIA project [1].
The acquisition could potentially reshape the AI chip landscape, introducing a major player in RISC-V-based AI accelerators. As Meta continues to invest heavily in AI infrastructure, with capital expenditures expected to exceed $70 billion this year, the success of its in-house chip development could have significant implications for the company's future AI capabilities and financial performance [1].
NVDA--
Meta Platforms Inc plans to acquire AI chip startup Rivos to power its own semiconductor production efforts. Financial terms were not disclosed. Rivos designs chips based on the RISC-V architecture and has been one of Meta's largest customers. Meta seeks to cut infrastructure costs and reduce its reliance on Nvidia. The acquisition will help Meta expand work on its Meta Training and Inference Accelerator (MTIA) chip accelerators.
Meta Platforms Inc. is set to acquire Rivos, an AI chip startup specializing in RISC-V architecture, to bolster its internal semiconductor development efforts. The acquisition aims to reduce Meta's reliance on external GPU providers like Nvidia and accelerate its AI ambitions. Although the financial terms of the deal remain undisclosed, Rivos was reportedly seeking funding at a valuation exceeding $2 billion [1].The acquisition is aimed at accelerating Meta's work on its custom-built, in-house AI accelerator chips, known as the Meta Training and Inference Accelerator (MTIA). Rivos brings expertise in designing GPUs and AI accelerators based on the open-source RISC-V architecture, which could potentially replace Nvidia GPUs in Meta's data centers [1].
Meta has been heavily investing in AI infrastructure, spending billions on GPUs from Nvidia and other manufacturers. The company recently signed a $14.2 billion deal with CoreWeave Inc. for AI chip access over the next six years [1]. By developing its own AI chips, Meta aims to cut infrastructure costs and decrease its dependence on third-party hardware providers .
Rivos' focus on RISC-V architecture presents an opportunity for Meta to develop one of the highest-profile RISC-V chips to date. This open-source alternative to Arm and x86 architectures could potentially avoid expensive licensing fees associated with proprietary designs [1].
This acquisition aligns with Mark Zuckerberg's initiative for 'personal superintelligence' and Meta's broader push into AI [1]. However, the company has faced challenges in its internal chip development efforts, with Zuckerberg reportedly dissatisfied with the slow pace of the MTIA project [1].
The acquisition could potentially reshape the AI chip landscape, introducing a major player in RISC-V-based AI accelerators. As Meta continues to invest heavily in AI infrastructure, with capital expenditures expected to exceed $70 billion this year, the success of its in-house chip development could have significant implications for the company's future AI capabilities and financial performance [1].

Stay ahead of the market.
Get curated U.S. market news, insights and key dates delivered to your inbox.
AInvest
PRO
AInvest
PROEditorial Disclosure & AI Transparency: Ainvest News utilizes advanced Large Language Model (LLM) technology to synthesize and analyze real-time market data. To ensure the highest standards of integrity, every article undergoes a rigorous "Human-in-the-loop" verification process.
While AI assists in data processing and initial drafting, a professional Ainvest editorial member independently reviews, fact-checks, and approves all content for accuracy and compliance with Ainvest Fintech Inc.’s editorial standards. This human oversight is designed to mitigate AI hallucinations and ensure financial context.
Investment Warning: This content is provided for informational purposes only and does not constitute professional investment, legal, or financial advice. Markets involve inherent risks. Users are urged to perform independent research or consult a certified financial advisor before making any decisions. Ainvest Fintech Inc. disclaims all liability for actions taken based on this information. Found an error?Report an Issue



Comments
No comments yet