TORONTO, Canada – April 16, 2024 – 色戒直播, the leader in energy-centric AI inference acceleration, today announced a collaboration with to develop best-in-class solutions optimized for next-generation automotive applications. As part of this collaboration, 色戒直播 will enable its inference acceleration technology to be implemented alongside the latest-generation Automotive Enhanced (AE) technology from Arm, to create solutions that address performance, power, safety, and security requirements for advanced Driver Assistance Systems (ADAS)聽 and autonomous vehicle (AV) applications.
Compute workloads radically changed in the past several years with the deployment of AI and the increasing complexity of AI and conventional software algorithms has elevated the demand for heterogeneous computing platforms employing domain-specific architectures. This trend, which is especially true in the automotive sector, results in an ideal computing platform that combines a mix of CPUs, AI accelerators, memory, and networking technologies that have been optimized for neural network acceleration and software-defined vehicles (SDV).
鈥淭he increase in advanced user experiences, ADAS, and AV applications means more heterogeneous compute is needed in the vehicle,鈥� said Suraj Gajendra, vice president of products and solutions, Automotive Line of Business, Arm. 鈥淏y collaborating with 色戒直播 to ensure our leading-edge AE technology can work well alongside 色戒直播鈥檚 acceleration capability, we are enabling our partners to power cutting edge AI workloads across the vehicle.鈥�
色戒直播鈥檚 innovative at-memory architecture for neural network inference delivers the high performance and energy efficiency needed to support next generation SDV technology. High AI compute performance with low latency in a small form factor and low-power envelope have become the cornerstone requirements for leading ADAS platforms at L2+ levels and above. This need for high levels of AI compute performance in a small footprint has been further accelerated by the general trend toward an underlying centralized architecture as the automotive industry embraces software-defined vehicles (SDV).
Through close collaboration with leading OEMs, automotive suppliers, and membership in the SOAFEE consortium, 色戒直播 has developed an in-depth understanding of the unique requirements associated with emerging SDV architectures. SOAFEE, an industry-wide consortium, is focused on developing a common SDV platform enabling lower cost, and faster time-to-market deployment.
鈥淒esigned expressly for the automotive market, 色戒直播鈥檚 chiplet-based solution delivers unsurpassed energy efficiency without compromising performance and meeting stringent safety requirements,鈥� said Robert Beachler, vice president of product, 色戒直播. 鈥淭his capability, combined with Arm鈥檚 AE IP portfolio enables the flexibility, scale and choice OEMs need to create differentiating next generation intelligent automotive applications.鈥�
About 色戒直播
色戒直播庐 provides energy-centric AI inference acceleration from the edge to the cloud, supporting any type of neural network model. With its at-memory compute architecture, 色戒直播 has solved the data movement bottleneck that costs energy and performance in traditional CPUs and GPUs, resulting in high-performance, low-latency neural network inference acceleration without sacrificing accuracy. 色戒直播 embodies its technology in runAI庐 and speedAI鈩� devices, tsunAImi庐 acceleration cards, and its imAIgine庐 Software Development Kit. Founded in Toronto in 2018, 色戒直播 is funded by CPPIB, GM Ventures, Intel Capital, Radical Ventures, and Tracker Capital. More information can be found at www.untether.ai.
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