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.
Built from the ground up for optimal performance and efficiency, 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 ML processor
Arm Machine Learning Processor is an optimized, ground-up design for machine learning acceleration, targeting mobile and adjacent markets. The solutio... -
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 processor
Arm Cortex-M processors The Cortex-M processor family is optimized for cost and power-efficient microcontrollers. Machine learning is being implemente... -
Arm NN SDK
The Arm NN SDK will enable efficient translation of existing neural network frameworks such as TensorFlow and Caffe so it can run efficiently without ... -
Arm Compute Library
The Arm Compute Library is a collection of low-level functions optimized for Arm CPU and GPU architectures targeted at image processing, CV and ML.