Arm’s AI platform, through its Project Trillium framework, is driving the AI revolution and redefining device capabilities. The Project Trillium heterogenous framework combines Cortex CPUs, Mali GPUs, and Ethos NPUs to deliver advanced machine learning (ML) use cases. Together with a thriving design and development ecosystem, Arm has extended its reach from smartphone CPU design and application development to supporting diverse AI applications and their specific requirements everywhere they need to run.
Designed for unmatched versatility and scalability, Project Trillium enables a new era of ultra-efficient ML inference, delivering scalable AI and neural network functionality at any point on the performance curve.
Ethos-N NPUs deliver the highest throughput and efficiency in the lowest area for ML inference from cloud to edge to endpoint.
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The Cortex-A processor series is designed for complex compute tasks on PC laptops, such as hosting a rich operating system platform and supporting multiple software applications and embedded designs. Cortex-A CPUs power intelligent solutions, from edge to cloud, for next-generation experiences.
Mali Graphics Processors
Including both graphics and GPU Compute technology, Mali GPUs offer a diverse selection of scalable solutions for low-power to high-performance smartphones, tablets, and DTVs.
The Arm Ethos-N processor series delivers the highest throughput and efficiency in the lowest area for Machine Learning inference from cloud to edge to endpoint.
The Cortex-M processor series features the smallest and lowest-power Arm Cortex processors, optimized for deterministic real-time embedded processing and microcontroller applications.
Delivering world-class performance, security, and scalability to support the diverse compute requirements of next-generation infrastructure, from hyperscale to edge access.
Arm-based chips, device architectures, and technologies orchestrate the performance of everything that makes modern life possible — from smartphones to agricultural sensors and from medical instruments to servers.
Open Source Accelerates Adoption of ML
To support the Machine Intelligence Initiative by Linaro, Arm has donated Arm NN, our open-source network machine learning (ML) software. We believe that open source collaboration with Linaro and other ecosystem partners helps reduce fragmentation and minimizes duplication of efforts. Through this initiative, SoC and NN vendors can continue to differentiate with their key competitive advantage. Learn more about the Linaro Machine Learning Initiative in this video.
Arm's Project Trillium Resources
Everything you need to know to make the right decision for your project. Includes technical documentation, industry insights, and where to go for expert advice.
- Datasheet: Compare Ethos-N Processors
- AI at the Edge: A GigaOm Research Report
- Living on the Edge: Why On-Device ML is Here to Stay