Project Trillium, Arm’s Machine Learning (ML) platform, enables a new era of advanced, ultra-efficient inference at the edge. Specifically designed for ML and neural network (NN) capabilities, the architecture is versatile enough to scale to any device, from IoT to connected cars and servers.
Project Trillium completes the Arm heterogeneous ML compute platform with the Arm ML processor and open-source Arm NN software.
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Arm Ethos-N processors
The Arm Ethos-N processor series delivers the highest throughput and efficiency in the lowest area for ML inference from cloud to edge to endpoint. -
Arm ML processor
Based on a new, class-leading architecture, the Arm Machine Learning processor provides a huge uplift in efficiency compared to CPUs, GPUs and DSPs. -
Mali GPUs
The Arm Mali family of Graphics Processing Units (GPUs) scales from the Cost Efficient Graphics Roadmap which focuses on delivering high quality graph... -
Arm Neoverse
The Arm Neoverse product family enables the broadest range of systems, from power constrained to performance demanding, for next generation infrastruc... -
Arm Cortex-A processor
The Arm Cortex-A series of applications processors provide a range of solutions for devices undertaking complex compute tasks. -
Arm Cortex-M processors
Arm Cortex-M processors are optimized for cost- and power-efficient microcontrollers deployed in small embedded devices. -
Arm NN
Arm NN translates existing neural network frameworks, allowing them to run efficiently across Arm Cortex CPUs, Arm Mali GPUs, and Arm Ethos NPUs. -
Arm Compute Library
The Arm Compute Library is a collection of low-level functions optimized for Arm Cortex-A CPUs and Arm Mali GPUs, targeting computer vision and ML.