Meta to Acquire Rivos, a RISC-V Chip Startup for AI Power
PorAinvest
miércoles, 1 de octubre de 2025, 7:46 am ET1 min de lectura
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].

Divulgación editorial y transparencia de la IA: Ainvest News utiliza tecnología avanzada de Modelos de Lenguaje Largo (LLM) para sintetizar y analizar datos de mercado en tiempo real. Para garantizar los más altos estándares de integridad, cada artículo se somete a un riguroso proceso de verificación con participación humana.
Mientras la IA asiste en el procesamiento de datos y la redacción inicial, un miembro editorial profesional de Ainvest revisa, verifica y aprueba de forma independiente todo el contenido para garantizar su precisión y cumplimiento con los estándares editoriales de Ainvest Fintech Inc. Esta supervisión humana está diseñada para mitigar las alucinaciones de la IA y garantizar el contexto financiero.
Advertencia sobre inversiones: Este contenido se proporciona únicamente con fines informativos y no constituye asesoramiento profesional de inversión, legal o financiero. Los mercados conllevan riesgos inherentes. Se recomienda a los usuarios que realicen una investigación independiente o consulten a un asesor financiero certificado antes de tomar cualquier decisión. Ainvest Fintech Inc. se exime de toda responsabilidad por las acciones tomadas con base en esta información. ¿Encontró un error? Reportar un problema



Comentarios
Aún no hay comentarios