Arm

Latest NPU Adds to Arm’s AI Platform Performance, Applicability, and Efficiency

News Highlights: Adding to the success of Arm’s microNPU product line, Arm Ethos-U65 maintains the power efficiency of the Ethos-U55, while extending its applicability to Arm Cortex-A- and Arm Neoverse-based systems Continued support for existing software and toolchains to provide a single, unified developer experience Expanded technology partnership with NXP to deliver energy-efficient, cost-effective AI […]

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New Arm Technologies Enable Safety-capable Computing Solutions for an Autonomous Future

News Highlights: New solutions offer a step change in compute for autonomous systems in automotive and industrial automation, which Arm believes will be an $8 billion silicon opportunity in 2030 Designed with safety first: Arm Cortex-A78AE is Arm’s highest performance CPU with safety, Arm Mali-G78AE is Arm’s first safety capable GPU, and Arm Mali-C71AE enables

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NVIDIA to Acquire Arm for $40 Billion, Creating World’s Premier Computing Company for the Age of AI

News Highlights: Unites NVIDIA’s leadership in artificial intelligence with Arm’s vast computing ecosystem to drive innovation for all customers NVIDIA will expand Arm’s R&D presence in Cambridge, UK, by establishing a world-class AI research and education center, and building an Arm/NVIDIA-powered AI supercomputer for groundbreaking research NVIDIA will continue Arm’s open-licensing model and customer neutrality

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Arm Intends to Strengthen Focus on Core Semiconductor IP Business Growth

July 07, 2020 – Today, Arm announced proposed strategic organizational changes to strengthen its focus on growth and profitability. The company is proposing to transfer its two IoT Services Group (ISG) businesses, IoT Platform and Treasure Data, to new entities that would be owned and operated by SoftBank Group Corp. and its affiliates. Upon completion

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New Arm IP Delivers True Digital Immersion For the 5G Era

News Highlights: Arm Cortex-A78 CPU: Transforming next-generation smartphone experiences with 20% sustained performance gains Arm Cortex-X Custom program: New program offers custom Cortex solutions and delivers the Arm Cortex-X1 with a 30% increase in peak performance Arm Mali-G78 GPU: The highest-performing Mali GPU based on Valhall architecture with a 25% increase in performance Arm Ethos-N78 NPU:

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Arm Offers Silicon Startups Zero-cost Access to the World’s Most Widely Used Chip Designs

News highlights: Arm Flexible Access for Startups offers no-cost access to world’s most trusted IP portfolio, tools, training and full support for early-experimentation, design and prototype silicon New program, combined with the Arm ecosystem, lowers risk and could accelerate time-to-market by 6-12 months Arm partners with Silicon Catalyst, a specialist incubator for silicon startups April

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New AI Technology from Arm Delivers Unprecedented On-device Intelligence for IoT

Arm launches industry’s first microNPU for Cortex-M combined with newest Cortex-M processor to securely deliver up to a 480x uplift in ML performance New IP will enable AI everywhere on billions of next-generation smaller, power-constrained devices with greater on-device ML processing Software development flow specifically optimized for developer productivity and maximizing ML performance across all

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New Arm IP Brings Intelligent, Immersive Experiences to Mainstream Markets

News Highlights: Arm Ethos-N57 and Ethos-N37 NPUs; extending the range of Arm Machine Learning (ML) processors to enable Artificial Intelligence (AI) applications in mainstream devices Arm Mali-G57 GPU; the first mainstream Valhall architecture-based GPU delivering 1.3x better performance over previous generations Arm Mali-D37 DPU; delivering a rich display feature set within the smallest area for

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“Performance Analysis for Optimizing Embedded Deep Learning Inference Software,” a Presentation from Arm

Gian Marco Iodice, Staff Compute Performance Software Engineer at Arm, presents the "Performance Analysis for Optimizing Embedded Deep Learning Inference Software" tutorial at the May 2019 Embedded Vision Summit. Deep learning on embedded devices is currently enjoying significant success in a number of vision applications—particularly smartphones, where increasingly prevalent AI cameras are able to enhance

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PO Box #4446
Walnut Creek, CA 94596

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