
SiFive
Semiconductors · AI
SiFive Secures $400M Series G at $3.65B Valuation
Raised
$400M
SiFive raised $400 million in an oversubscribed Series G round led by Atreides Management, with Nvidia and Apollo among backers, reaching a $3.65 billion valuation. The funding targets RISC-V CPU and AI IP for data centers ahead of an IPO.
SiFive completed a $400 million oversubscribed Series G funding round, elevating its valuation to $3.65 billion. The round, led by Atreides Management, included participation from Apollo Global Management, NVIDIA, Point72 Turion, T. Rowe Price Investment Management, Prosperity7 Ventures, and Sutter Hill Ventures. Announced on April 9, 2026, this marks a substantial increase from the company's prior $175 million Series F in 2022 at a $2.33 billion pre-money valuation. SiFive, founded in 2015 by UC Berkeley engineers who pioneered RISC-V, licenses open-source processor IP designs rather than manufacturing chips, serving clients like Alphabet for custom developments.
The capital will advance SiFive's high-performance RISC-V CPU, vector, matrix, and AI IP solutions tailored for data center and AI infrastructure demands. This includes expanding R&D, enhancing software ecosystems with support for CUDA, Red Hat Enterprise Linux, Ubuntu, and NVIDIA's NVLink Fusion interconnect, and scaling global engineering teams. CEO Patrick Little indicated this as the final private round before an IPO, signaling preparation for public markets. The investment reflects surging interest in RISC-V as a customizable, royalty-free alternative to Arm and x86 architectures amid AI workload growth.
SiFive's milestone underscores the semiconductor sector's pivot toward open standards to address hyperscaler needs for efficient, agentic AI processing. With total funding nearing $970 million, the company positions itself to capture a projected $10.77 billion RISC-V data center market by 2030, challenging incumbents through lower power consumption and flexibility. Nvidia's involvement highlights ecosystem integration potential, boosting RISC-V's viability in high-bandwidth AI systems.