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Arm's Project Trillium Offers the Industry's Most Scalable, Versatile ML Compute PlatformArm today announced Project Trillium, a suite of Arm IP including new highly scalable processors that will deliver enhanced machine learning (ML) and neural network (NN) functionality. The current technologies are focused on the mobile market and will enable a new class of ML-equipped devices with advanced compute capabilities, including state-of-the-art object detection. "The rapid acceleration of artificial intelligence into edge devices is placing increased requirements for innovation to address compute while maintaining a power efficient footprint. To meet this demand, Arm is announcing its new ML platform, Project Trillium," said Rene Haas, president, IP Products Group, Arm. "New devices will require the high-performance ML and AI capabilities these new processors deliver. Combined with the high degree of flexibility and scalability that our platform provides, our partners can push the boundaries of what will be possible across a broad range of devices." ML technologies today tend to focus on specific device classes or the needs of individual sectors. Arm's Project Trillium changes that by offering ultimate scalability. While the initial launch focuses on mobile processors, future Arm ML products will deliver the ability to move up or down the performance curve - from sensors and smart speakers, to mobile, home entertainment, and beyond. Performance Arm's new ML and object detection processors not only provide a massive efficiency uplift from standalone CPUs, GPUs and accelerators, but they far exceed traditional programmable logic from DSPs. The Arm ML processor is built from the ground-up, specifically for ML. It is based on the highly scalable Arm ML architecture and achieves the highest performance and efficiency for ML applications:
The Arm OD processor has been designed specifically to efficienly identify people and other objects with virtually unlimited objects per frame:
In combination, the Arm ML and OD processors perform even better, delivering a high-performance, power-efficient people detection and recognition solution. Users will enjoy high-resolution, real-time, detailed face recognition on their smart devices delivered in a battery-friendly way. Arm NN software, when used alongside the Arm Compute Library and CMSIS-NN, is optimized for NNs and bridges the gap between NN frameworks such as TensorFlow, Caffe, and Android (News - Alert) NN and the full range of Arm Cortex® CPUs, Arm Mali™ GPUs, and ML processors. Developers get the highest performance from ML applications by being able to fully-utilize underlying Arm hardware capabilities and performance. More details on Arm NN software are available on our website. The new suite of Arm ML IP will be available for early preview in April of this year, with general availability in mid-2018. Resources:
Notes to Editors Project Trillium is not the commercial brand name for Arm machine learning technology. The codename will be replaced by the commercial brand name in due course. Arm does not accept any responsibility or liability for any third-party use of its codenames. About Arm Arm technology is at the heart of a computing and connectivity revolution that is transforming the way people live and businesses operate. Our advanced, energy-efficient processor designs are enabling the intelligence in more than 100 billion silicon chips and securely powering products from the sensor to the smartphone to the supercomputer. With more than 1,000 technology partners including the world's largest business and consumer brands, we are driving Arm innovation into all areas compute is happening inside the chip, the network and the cloud. All information is provided "as is" and without warranty or representation. This document may be shared freely, attributed and unmodified. Arm, Cortex and Mali are trademarks or registered trademarks of Arm Limited (or its subsidiaries). All other brands or product names are the property of their respective holders. © 1995-2018 Arm Group.
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