Enabling Generative AI at Scale

The explosion in generative AI is only just beginning. Boston Consulting Group predicts AI will drive an estimated three-times energy increase with generative AI alone expecting to account for 1% of this, challenging today’s electrical grids. Meanwhile, large language models (LLMs) will become more efficient over time and inference deployed at the edge at scale is expected to increase exponentially. This growth has already started, and to face the challenges ahead, the technology ecosystem is deploying generative AI on Arm.

Deploying Generative AI with Flexibility and Speed

Generative AI white paper by Arm

As generative AI continues to grow exponentially, developers must consider multiple industry challenges, including efficiency, reducing time to market, security, and scalability. Only a flexible, high-performance compute platform that supports any AI workload, from cloud to edge, can help ensure success. Learn how Arm offers a competitive advantage to beat these challenges and achieve maximum AI workload performance.

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The Future of Generative AI is Built on Arm

Optimized Generative AI Performance at the Edge with ExecuTorch

Through our collaboration with Meta, Arm is making AI accessible to billions of edge devices. Arm helps accelerate inference workloads from text generation and summarization to real-time virtual assistants and AI agents.

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Efficient Code Generation Enabled by Small Language Models (SLMs)

SLMs offer tailored AI solutions with reduced costs, increased accessibility, and improved efficiency. They are easy to customize and control, making them ideal for a range of applications, such as content and code generation.

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Best-in-Class Text Generation on Arm-Based AWS Graviton3 CPUs

Server CPUs, such as the Arm Neoverse-based Graviton processors, provide a performant, cost-effective and flexible option for developers looking to deploy smaller, more focused LLMs in generative AI applications.

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Use Cases

Generative AI on Smartphones

 
 
 
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Generative AI Starts with the CPU

Inference on Arm CPUs

Arm technology offers an efficient foundation for AI acceleration at scale, which enables generative AI to run on phones, PCs, and in datacenters. This is the result of two decades of architectural innovation in vector and matrix processing on our CPU architecture.

These investments in innovation have helped improve accelerated-AI compute and provide security that helps protect valuable models and enable low-friction deployment for developers.

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Heterogeneous Solutions for GenAI Inference

For generative AI to scale at pace, we must ensure that AI is considered at the platform level, enabling all computation workloads.

Learn more about our leading AI compute platform, which includes our portfolio of CPUs and accelerators, such as GPUs and NPUs.

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Software Collaboration Key for GenAI Innovation

Arm is engaged in several strategic partnerships to fuel AI-based experiences, while providing extensive software libraries and tools, and working on integration with all major operating systems and AI frameworks. Our goal is to help ensure developers can optimize without wasting valuable resources.

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Seamless Acceleration for AI Workloads

Discover more about how Arm ensures seamless acceleration for every developer, every model, and every workload. Arm Kleidi makes CPU inference accessible and easy, even for the most demanding generative AI workloads.

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Run Generative AI Efficiently on Arm

Want advice on running GenAI-enhanced workloads efficiently on Arm? These resources on Hugging Face help you build, deploy, and accelerate faster across a range of models, including large and small language models and models for natural language processing (NLP).

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