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RISC-V for Edge AI Applications

Publish Date: 30 Jan 2024
Code: AN-6121
Research Type: Report
Pages: 13
RELATED SERVICE: AI & Machine Learning
Actionable Benefits

Actionable Benefits

  • Gain an overview of significant developments in the edge Artificial Intelligence (AI) RISC-V space.
  • Identify leading startup activity addressing AI workloads.
  • Understand technical innovations driving RISC-V’s applicability to AI.
Research Highlights

Research Highlights

  • Key chipset vendors in the United States, Europe, and China.
  • Hardware and software offerings.
  • Developments in the wider RISC-V ecosystem.
Critical Questions Answered

Critical Questions Answered

  • Why are chip vendors increasingly turning to RISC-V processors for AI workloads?
  • How will RISC-V for AI proliferate throughout the rest of the decade?
  • What is the response from mature players with a legacy in x86 and Arm?
  • What are the geopolitical implications of RISC-V development?
Who Should Read This?

Who Should Read This?

  • AI chipset vendors interested in the prospects of RISC-V.
  • AI chipset solutions providers and device Original Equipment Manufacturers (OEMs) looking to expand or diversify their hardware portfolios.
  • Investors or legacy chipset players interested in RISC-V market activity for potential Mergers and Acquisitions (M&A) opportunities.

Table of Contents

Key Findings

Recommendations

RISC-V and Edge AI

Key Forecasts

Key Companies and Ecosystems

Legacy Players Have Joined In

Geopolitics

U.S. Sanctions Force Chinese Chipset Market toward Self-Sufficiency
Chinese Chipset Vendors Turn to Open-Source RISC-V Framework

Companies Mentioned

  • Alibaba Group
  • AMD
  • Axelera AI
  • BOSCH
  • EdgeQ
  • Google
  • Huawei
  • Imagination Technologies
  • Intel Corporation
  • MediaTek Inc
  • Meta
  • NVIDIA
  • Qualcomm Inc
  • SiFive
  • Tenstorrent
  • Untether AI
  • Ventana Micro Systems
  • ZTE Corporation