Automotive collaboration meets the transformative era of software-defined vehicles
Toronto, April 16, 2024–(BUSINESS WIRE)–Untether AI, a leader in energy-centric AI inference acceleration, today announced a partnership with Arm to develop best-in-class solutions optimized for next-generation automotive applications. . As part of this collaboration, Untether AI will be able to implement its inference acceleration technology alongside Arm's latest generation of Automotive Enhanced (AE) technology, improving the performance, power, safety, and security of advanced driver assistance systems. Create a solution that addresses your requirements. (ADAS) and autonomous vehicle (AV) applications.
Computing workloads have fundamentally changed in recent years with the introduction of AI, and the increasing complexity of AI and traditional software algorithms is driving the demand for heterogeneous computing platforms with domain-specific architectures. Masu. This trend is especially true in the automotive space, where neural network acceleration and software-defined vehicle (SDV)-optimized CPUs, AI accelerators, memory, and networking technologies combine to create an ideal computing platform.
“The rise of advanced user experiences, ADAS, and AV applications means more heterogeneous computing will be needed in the vehicle,” said Suraj Gajendra, vice president of products and solutions for Arm's automotive business. says. “Working with Untether AI to ensure that our cutting-edge AE technology works well in conjunction with his Untether AI acceleration capabilities will help our partners deliver cutting-edge AI workloads across their vehicles. It can be strengthened.”
Untether AI's innovative at-memory architecture for neural network inference delivers the high performance and energy efficiency needed to support next-generation SDV technology. High AI computing performance with low latency in a small form factor and low power envelope is a fundamental requirement for major ADAS platforms at the L2+ level and above. As the automotive industry embraces software-defined vehicles (SDVs), the general trend towards underlying centralized architectures is further accelerating the need for high levels of AI computing performance in a small footprint.
Through close collaboration with leading OEMs, automotive suppliers, and members of the SOAFEE consortium, Untether AI has a deep understanding of the unique requirements associated with emerging SDV architectures. His SOAFEE, an industry-wide consortium, is focused on developing a common His SDV platform that can reduce cost and speed time to market.
“Specifically designed for the automotive market, Untether AI's chiplet-based solutions deliver superior energy efficiency and meet stringent safety requirements without compromising performance,” said Robert, Vice President of Products at Untether AI. Beachler said. “This capability, combined with Arm's AE IP portfolio, enables OEMs the flexibility, scalability and choice they need to create differentiated, next-generation intelligent automotive applications.”
About Untether AI
Untether AI® provides energy-centric AI inference acceleration from the edge to the cloud and supports all types of neural network models. With its at-memory computing architecture, Untether AI solves the data movement bottlenecks that sacrifice energy and performance on traditional CPUs and GPUs, resulting in high performance and low latency without sacrificing accuracy. achieved faster neural network inference. Untether AI embodies its technology in runAI® and SpeedAI® devices, tsunAImi® acceleration cards, and imAIgine® software development kits. Founded in Toronto in 2018, Untether AI is funded by CPPIB, GM Ventures, Intel Capital, Radical Ventures, and Tracker Capital. For more information, please visit www.untether.ai.
All references to Untether AI trademarks are the property of Untether AI. All other trademarks mentioned herein are the property of their respective owners.
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