Overview

Heterogeneous Compute for AI Workloads

AI workloads need a heterogeneous compute architecture capable of dynamically allocating tasks across diverse processing units—including CPUs for control logic and general-purpose tasks, GPUs for high-throughput parallelism, and NPUs for dedicated neural network acceleration. This helps optimize performance and efficiency across deployment targets, ranging from edge devices and embedded systems to autonomous platforms and cloud-scale infrastructures.

Reimagining Compute for Future AI

Truly seamless and embedded AI experiences require a new paradigm in computing. Find out more in this MIT Technology Review research report, which features insights from industry leaders at AWS, Meta, Samsung, and Arm.

The Road to AI Computing

The rise of AI is reshaping the computing landscape and placing unprecedented demands on silicon architectures. Complex AI workloads are computationally demanding and require specialized hardware to operate efficiently.

Products and Solutions

Key AI Solutions from Edge to Cloud

The Arm compute platform provides the future-proof, trusted, and secure foundation for the evolution of AI. Our solutions are designed for AI everywhere, with a unique blend of performance, efficiency, and collaboration across our vast ecosystem.

CPUs

Flexible, energy-efficient processors, central to AI compute.

GPUs

Ideal as a dedicated AI accelerator alongside the CPU.

NPUs

Pair easily with a CPU for AI acceleration at the edge.

Resources

Latest News and Resources

  • NEWS and BLOGS
  • White Papers
  • eBook
  • Reports
Software AI Acceleration

Why Software is Crucial to Achieving AI’s Full Potential

How to choose the right open-source solutions to help accelerate generative AI and reduce the footprint of AI models.

Generative AI

Scale Generative AI With Flexibility and Speed

The race to scale new generative AI capabilities is creating both opportunities for innovation and challenges. Learn how to beat these challenges to deploy AI successfully everywhere.

Generative AI

The Role of Generative AI in Business Transformation

Explore how to leverage generative AI to fulfill its full potential and the role of Arm in leading this transformation.

AI Workloads

Guide to Understanding AI Inference on CPU

The demand for running AI workloads on the CPU is growing. Our helpful guide explores the benefits and considerations for CPU inference across a range of sectors.

AI Report for Enterprises

Arm AI Readiness Index

With AI adoption at 82% and only 5% to 10% of technology budgets allocated to AI, our comprehensive report uncovers the technology requirements, opportunities, and strategies for AI success.

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