RISC-V Processors Addressing Edge AI Devices to Reach 129 Million Shipments by 2030
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Wednesday, February 14, 2024
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LONDON, Feb. 14, 2024 /PRNewswire/ -- Reduced Instruction Set Computing (RISC)-V processor architectures are starting to address edge Artificial Intelligence (AI) workloads, and this trend is set to continue throughout the decade. According to a new report from global technology intelligence firm ABI Research, while RISC-V's penetration into AI workloads is only just beginning, growth will be steady throughout the rest of the decade, pushing RISC-V chip shipments in edge AI (excluding TinyML) to 129 million by 2030.
Key Points:
- According to a new report from global technology intelligence firm ABI Research, while RISC-V's penetration into AI workloads is only just beginning, growth will be steady throughout the rest of the decade, pushing RISC-V chip shipments in edge AI (excluding TinyML) to 129 million by 2030.
- Leading startups, like Axelera AI and Tenstorrent , show RISC-V's potential to address more demanding AI inferencing workloads, like computer vision in automotive and security applications.
- Legacy players, from Qualcomm to Microchip , also want to develop processors using the Instruction Set Architecture (ISA).
- A key driver of shipment numbers is edge AI gateways, the bulk of which comprises systems connecting and performing inference on sensors in the home.