
Rivos is a fabless semiconductor company that designs high-performance, power-efficient RISC-V data center and AI accelerator chips. The company developed integrated heterogeneous compute chiplets combining RISC-V RVA23 server-class CPUs with proprietary General-Purpose GPUs (DPA - Data Parallel Accelerator), targeting AI inference and data analytics workloads. Rivos was founded in 2021 by industry veterans from Google, Intel, and Apple with support from Walden Catalyst, and was acquired by Meta in October 2025.
Rivos has been acquired
This company is no longer available on our private secondary market.
Company data and valuation marks are estimates and may be incomplete, stale, erroneous, or revised.
Founded
2021
Employees
400–443
Total Funding
$250M
4 rounds
Total raised $250M across 4 rounds
Funding data and valuation marks are estimates and may be incomplete, stale, erroneous, or revised.
Last updated 06-25-2026
Latest Round
Type
M&A exit
Date
October 2025
Amount
Not disclosed
Valuation
—
Lead Investors
| Date | Round | Amount Raised | Valuation | Lead Investors |
|---|---|---|---|---|
| October 2025 | M&A exit | Not disclosed | — | Meta |
| August 2025 | Series B (planned) | Not disclosed | $2B | Not disclosed |
| April 16, 2024 | Series A-3 | $250M | — | Matrix Capital Management |
Puneet Kumar
Founder & Chief Executive Officer
Mark Hayter
Founder
Belli Kuttanna
Founder
Tse-yu Yeh
Founder
Lip-Bu Tan
Chairman
Competitor list is illustrative and may be incomplete, stale, or erroneous.
Nvidia
Dominates AI chip market with CUDA ecosystem and GPUs; Rivos developed CUDA-compatible alternatives
Qualcomm / Ventana Micro Systems
Qualcomm acquired Ventana for $2.4B; competing in high-performance RISC-V processors
Intel
Competes with Gaudi 3 AI accelerators and custom data center chips
SiFive
Leading RISC-V IP and processor design company; major player in RISC-V ecosystem
Esperanto Technologies
Developing high-performance RISC-V processors for data centers and AI
Tenstorrent
AI accelerator and processor company competing in inference and data center space
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