Edge Infrastructure Review

edge AI

 

Micron backs SiMa.ai to tighten compute-memory integration for power-constrained edge AI systems

SiMa.ai announced a strategic investment from Micron Technology to enhance its high-performance, power-efficient physical AI solutions for edge applications such…

 

Premio targets multi-camera edge AI with new Jetson Orin systems

Rugged edge AI and embedded computing provider Premio debuted two new models  to its JCO-Series of rugged NVIDIA Jetson Orin…

 

NVIDIA and T-Mobile push AI-RAN to turn 5G networks into distributed edge compute platforms

NVIDIA and T-Mobile are working with Nokia and a growing ecosystem of developers to deploy vision AI applications over distributed…

 

Zededa and Submer target off-grid AI with modular, liquid-cooled edge GPU systems

Zededa and Submer have partnered to deliver modular, liquid-cooled edge AI infrastructure for high-density GPU inference in locations without traditional…

 

Survey finds edge AI spending surging as enterprises push toward autonomous edge operations

A recent survey conducted by Zededa, a provider of edge management and orchestration software, revealed 86% of enterprises with active…

 

Innatera advances neuromorphic edge AI chips using Synopsys simulation tools

Innatera has partnered with Synopsys to design and validate neuromorphic chips for ultra-low-power AI in edge devices like wearables, smart…

 

AUM Ventures invests in Latent AI to scale hardware-agnostic edge AI globally

AUM Ventures announced it has invested in Latent AI to broaden the company’s scope of edge AI solutions for customers…

 

AMD targets industrial edge AI with new Ryzen embedded chips built for real-time inference

AMD has launched its Ryzen AI Embedded P100 Series processors, delivering scalable and efficient AI compute (AI-on-Chip) for industrial and…

 

NTT DATA and Ericsson move to industrialize private 5G and edge AI deployments

NTT DATA and Ericsson are accelerating enterprise private 5G and edge AI use cases with a strategic partnership. The collaboration…

 

Why the future of AI inference lies at the edge

By Stephane Henry, Group VP of Edge AI Solutions at STMicroelectronics, AI is becoming a transformative force shaping our everyday…

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NodeWeaver: Minimizes the total lifecycle cost of deploying, managing, and operating edge compute by addressing the main drivers of cost and complexity.​ https://www.nodeweaver.eu/

OnLogic: A global industrial PC manufacturer and solution provider focused on hardware for IoT and edge AI, designing highly-configurable computers engineered for reliability. https://www.onlogic.com/

Zenlayer: A massively distributed edge cloud service provider operating over 270 PoPs around the world, with expertise in fast-growing emerging markets. https://www.zenlayer.com/

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