This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. The challenge (and opportunity) of powering workloads in the AI datacenter AI has the potential to exceed all the transformative innovations created in the past century. The benefits to society around health care, productivity, education and many […]
Arm’s Mission to Help Tackle AI’s Insatiable Energy Needs Read More +
News highlights: New Arm Ethos-U85 NPU delivers 4x performance uplift for high performance edge AI applications such as factory automation and commercial or smart home cameras New Arm IoT Reference Design Platform, Corstone-320, brings together leading-edge embedded IP with virtual hardware to accelerate deployment of voice, audio, and vision systems With a global ecosystem of
News Highlights Announcing two new Arm Neoverse Compute Subsystems (CSS) built on brand new third generation Neoverse IP: Arm Neoverse CSS V3, the first Neoverse CSS product for the high-performance V-series portfolio with a 50% performance-per-socket improvement over CSS N2 Arm Neoverse CSS N3, an extension of our leading N-series CSS roadmap, delivering 20% higher
Enabling the AI Infrastructure on Arm Read More +
This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. AMBA is being extended to the chiplets market with the new CHI C2C specification. As Arm’s EVP and Chief Architect Richard Grisenthwaite said in this blog, Arm is collaborating across the ecosystem on standards to enable a
Ecosystem Collaboration Drives New AMBA Specification for Chiplets Read More +
This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Strategic collaboration accelerates Custom Silicon for evolving AI workloads As AI continues its rapid evolution, optimized silicon is crucial to unlock next-generation applications. Arm serves as a foundation for this innovation with its CPU, GPU and related
The Age of AI Demands Faster Chip Development: Only Arm and Cadence Deliver Read More +
News highlights: New Arm Cortex-M52 is the smallest, most area and cost-efficient processor enabled with Arm Helium technology, delivering enhanced AI capabilities for lower cost IoT devices Provides the flexibility to scale across a range of performance points and configurations, delivering DSP capabilities without a separate unit to save on area and cost Simplified development
Arm Extends Cortex-M Portfolio to Bring AI to the Smallest Endpoint Devices Read More +
This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Transforming industries and enhancing efficiency with cutting-edge AI vision technology. One of the most promising applications of IoT AI vision technology is to capture consumer data inside stores so retailers can more quickly and efficiently optimize product
The Future of Vision: Edge AI Breaks Barriers for Data-intensive Applications Read More +
Michael Pontikes, Systems Engineer at NXP Semiconductors, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Pontikes demonstrates unique features of the new i.MX 93 applications processor. This latest processor from NXP Semiconductors, continuing the company’s long legacy of i.MX applications processors, features the Arm Ethos
This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. The integration of ML into IoT is sparking exponential growth and shaping a dynamic ecosystem The pace of Internet of Things (IoT) innovation has quickened in recent years, but it’s now being kicked into hyper drive. The
Machine Learning Transforms the Internet of Things Read More +
Won Eui Hong, Research Engineer at Nota AI, demonstrates the company’s latest edge AI and vision technologies and products in Arm’s booth at the 2023 Embedded Vision Summit. Specifically, Hong demonstrates how Nota AI’s NetsPresso AutoML solutions enable machine learning at the edge on Arm platforms. It is very critical to enable a vibrant machine
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