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Opportunities for Heterogenous Computing: General & Generative AI at the Edge

Publish Date: 07 Feb 2024
Code: AN-5471
Research Type: Report
Pages: 11
RELATED SERVICE: AI & Machine Learning
Actionable Benefits

Actionable Benefits

  • Gain a comprehensive understanding of heterogenous Artificial Intelligence (AI) chipsets addressing generative AI workloads at the edge.
  • Identify novelties about the current innovation cycle affecting smartphones and Personal Computers (PCs).
  • Ascertain key partnerships and ecosystems forming around on-device generative AI.
Research Highlights

Research Highlights

  • Heterogenous AI chipsets shipping in late 2023 or 2024.
  • Shipment forecasts until 2030.
  • Vendors’ software offerings enabling efficient on-device generative AI.
Critical Questions Answered

Critical Questions Answered

  • What influence is on-device generative AI having on the edge AI market?
  • Why does productivity-enhancing AI change the market dynamics and increase demand?
  • How are chipsets addressing on-device generative AI workloads, and how do they differ from “traditional” AI workloads for entertainment use cases?
Who Should Read This?

Who Should Read This?

  • Independent Software Vendors (ISVs) identifying partnerships for their on-device AI applications.
  • Investors analyzing what has impacted the on-device generative AI market, and how it will move the needle going forward.
  • Chipset vendors seeking greater insight into competitors’ activity around on-device generative AI.

Table of Contents

Key Findings

Key Forecasts

Key Companies and Ecosystems

Key Partnerships Forming around Heterogenous Edge AI Chipsets

The Next Stage of On-Device AI Is Generative

Novel Productivity-Focused Use Cases Boost Replacement Cycles

SDKs Enabling Heterogenous Edge AI Computing

Companies Mentioned

  • AMD
  • Apple Inc.
  • Google
  • Intel Corporation
  • MediaTek Inc
  • Meta
  • NVIDIA
  • Qualcomm Inc
  • Samsung