- media@moneyinfocus.news
Chip design startup SiFive has raised $400 million in a new funding round that values the company at $3.65 billion, as interest accelerates in alternative semiconductor architectures for artificial intelligence and data center applications.
The round was led by Atreides Management and drew participation from Nvidia, among other investors, according to multiple media reports.
Founded by engineers from the University of California, Berkeley, SiFive develops and licenses processor designs based on the open-source RISC-V architecture, positioning itself as a neutral alternative to established chip standards such as x86 and Arm.
Rather than manufacturing semiconductors, the company follows a licensing model similar to Arm, enabling customers to build customized chips using its intellectual property.
The latest funding comes as SiFive expands beyond embedded systems into higher-performance applications, including AI-driven data center processors. Its newer designs are being developed to integrate with Nvidia’s software ecosystem, reflecting growing demand for scalable and flexible computing architectures.
“For decades, proprietary ISAs have constrained how the world’s most sophisticated chip designers build and differentiate their silicon. SiFive is breaking that paradigm – unleashing the full potential of RISC-V’s open standard exactly when the industry needs it most,” said Gavin Baker, Managing Partner and CIO of Atreides Management.
“As agentic AI redefines the role of the CPU in AI data centers, SiFive’s RISC-V platform delivers the performance, power efficiency, and architectural freedom that hyperscalers are demanding. We believe SiFive is uniquely positioned to be the long-term winner in this shift.”
The raise marks a significant increase from SiFive’s previous funding round in March 2022, when the company secured $175 million at a $2.33 billion pre-money valuation.
The latest round was described as oversubscribed, underscoring strong investor appetite for companies operating at the intersection of semiconductors and AI infrastructure.
