Edge Infrastructure Review

AI/ML

 

IBM creates an AI chip to run and train deep learning models

IBM has announced an upgraded version of the IBM AI Telum processor to streamline the development of enterprise-quality, industrial-scale deep…

 

AI startup Kneron secures $48 million to provide next-gen on-device AI inferencing module

San Diego-based edge AI chip company Kneron raised a Series B funding of $48 million led by Horizon Ventures, and…

 

Syntiant, Imagimob partner to accelerate tinyML application deployment

Syntiant tinyML development board Source: Syntiant Imagimob, a provider of tinyML platforms, has announced a partnership with Syntiant Corp., an…

 

Edge Woman of the Year Award Interviews: Tilly Gilbert, STL Partners

Edge Computing World will be announcing the Fourth Annual Edge Woman of the Year Award 2022 next week. Edge Industry…

 

Run AI Atlas certified to run the Nvidia AI Enterprise, optimizes AI production

Israel-based Run AI, a provider of compute orchestration for AI workloads, has announced its Atlas platform is now certified to…

 

OmniML launches Omnimizer to simplify ML deployment on edge devices

OmniML, a start-up that aims to make AI more accessible to edge devices, has developed a platform that connects ML…

 

Visionary.ai uses edge AI to improve computer vision apps in low light conditions

Visionary.ai, a provider of image processing software, has launched a real-time video denoiser that promises to improve the quality of…

 

OrionVM, Blaize launch AI-as-a-Service to help enterprises adopt and deploy edge AI

OrionVM recently teamed up with Blaize to launch an AI-as-a-Service offering, helping enterprises adopt and deploy AI solutions. As part…

 

MemryX MX3 AI Accelerator aims to speed up AI adoption in edge systems

MemryX, a start-up company that designs silicon for artificial intelligence (AI) processing, has announced that it has begun customer sampling…

 

U.S. DOD wants edge computing, fog computing tech to improve decision making

The U.S. Department of Defense (DOD) is eyeing transformational edge computing and fog computing technologies that could revolutionize how the…

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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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