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  <ul>
    <li>
      <p>
        DataQube Global, a modular edge data center provider, partnered with NodeWeaver, an edge cloud solutions provider, to introduce new edge computing capabilities into its line of modular data center products.
      </p>
    </li>
    <li>
      <p>
        DataQube will leverage NodeWeaver&rsquo;s cloud functionality to enable the former&rsquo;s colocation customers to have access to high-speed, low-latency processing power needed for applications such as industrial IoT (IIoT), digital twins, artificial intelligence (AI), and computer vision.
      </p>
    </li>
  </ul>
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  <p>
    <a href="https://www.dataqube.global/dataqube-collaborates-with-nodeweaver-to-provide-full-edge-cloud-capability/">
      Press release
    </a>
  </p>
</div>


Edge Computing

DataQube partners with NodeWeaver to offer new edge cloud solution

ANALYST_QUICK_TAKE

INCUMBENTS_PRESENT

PROMINENT_CATEGORY

<div>
 <p>Akamai Technologies has completed the purchase of selected assets from Edgio, including specific customer contracts in the areas of content delivery and security as well as non-exclusive patent license rights, subsequent to Edgio's Chapter 11 bankruptcy.</p>
 <p>The US Bankruptcy Court for the District of Delaware approved the acquisition, which does not involve Edgio's personnel, technology, or network-related assets.</p>
 <p>Akamai plans to support several hundred former Edgio customers transition to its services before Edgio's network stops operating. It will provide access to its comprehensive suite of security and cloud solutions to ensure uninterrupted service.</p>
 
</div> <p><b>Analyst QuickTake:<br>
</b> Edgio's bankruptcy and Akamai's subsequent acquisition of its assets mirror StackPath's <a href="https:<br>
//www.streamingmediablog.com/2023/08/stackpath-exits-cdn.html"> exit from the CDN business </a> in 2023, which eventually led to StackPath <a href="https:<br>
//sp-edge.com/updates/31256"> shutting down </a> . Both cases highlight the challenges of sustaining profitability in the commoditized CDN market, where scaling infrastructure and meeting competitive pricing pressures are significant hurdles.&nbsp;</p>

Akamai acquires content delivery assets from bankrupt Edgio

<div>
 <p>Edge Impulse, a firm specializing in the development and deployment of Machine Learning (ML) models on Edge devices, has struck a partnership with STMicroelectronics, a leading manufacturer of microcontrollers. The partnership is aimed at lending support to STMicroelectronics' STM32N6 microcontroller for use in Edge AI applications.</p>
 <p>Through this collaborative effort, developers can make use of the Artificial Intelligence tools provided by Edge Impulse. These tools work in sync with the STM32N6's Neural-ART Accelerator. According to claims by STMicroelectronics, this combination provides a marked performance improvement, to the tune of 600 times, over the previous models of STM32.</p>
 <p>The primary focus of this partnership is on applications in the fields of industrial automation and smart home technologies. The STM32N6 microcontroller is planned to be launched in the Consumer Electronics Show (CES) scheduled for January 2025.</p>
</div>

Edge Impulse partners with STMicroelectronics to integrate AI into microcontrollers

<div>
 <p>AONDevices, a provider of Edge AI solutions, has launched the AONix module. This is a low-power sensor module based on the AON11xx processor family. It is specifically designed for battery-operated, always-on devices.</p>
 <p>The AONix module is suitable for use in various applications including healthcare, smart home security, industrial IoT, and environmental sensing. Key features of the module include Wi-Fi, BLE, and Matter protocols for IoT integration.</p>
 <p>Furthermore, the AONix module offers enhanced battery management and is backed by the AONx360 platform. The creation of this solution was a collaborative effort between AONDevices, TDK, and P-Logic Consulting.</p>
</div>

AONDevices launches AONix Edge AI sensor module

<div>
 <p>Embedded computing solutions developer, Advantech, has partnered with ADATA Industrial to create a new series of high-performance servers which are SKY-721E3, SKY-821E3, SKY-622G4, and SKY-722V4. These servers use ADATA's industrial-grade memory solutions that are catered towards AI and high-performance computing assignments.</p>
 <p>With ADATA's DDR5 memory tech incorporated, the servers offer increased transmission speeds, decreased energy usage and enhanced energy competence compared to DDR4. The collaboration aims to cater to the growing need for smart Edge computing across various industrial applications.</p>
 
</div>

Advantech and ADATA launch new server series for AI computing

<div>
 
 <p>Cologix, a colocation and interconnection services provider, has obtained land in Johnstown, Ohio for the development of a new AI-ready data center campus. The company's investment in this expansion is set to be over USD 7 billion.</p>
 <p>The upcoming campus is planned to contain eight data centers and have a total capacity of 800MW across 2 million square feet. The development aims to offer high-density, ultra-low latency, and sustainable infrastructure to hyperscalers and enterprises. The commencement of the first phase of development is set for 2025.</p>
 <p>Cologix's expansion will be added to the company's current collection of four data centers located in Ohio. These existing data centers have a combined footprint of 500,000 square feet and an 80MW of power capacity.</p>
 
</div> <p><b>Analyst QuickTake:<br>
</b> This follows the company’s <a href="https:<br>
//sp-edge.com/updates/35316"> USD 1.5 billion funding </a> in October 2024, which was earmarked for strategic expansions of its data center network. The Ohio campus is a key part of the company’s broader strategy to accelerate its North American footprint and address growing demand for AI-driven computing infrastructure.</p>

Cologix acquires land for 800MW AI-ready data center campus in Ohio

<div>
 
 <p>Ubitium, a company that develops universal RISC-V microprocessors, has successfully raised USD 3.7 million in a seed funding round. This round was co-led by Runa Capital, Inflection, and KBC Focus Fund.</p>
 <p>The raised funds are set to be used for the development of prototypes and the preparation of customer development kits. In terms of future plans, the company anticipates the launch of a multi-project wafer prototype as well as a development kit. Furthermore, by 2026, Ubitium also expects to ship its first Edge computing chips.</p>
 <p>Ubitium was founded in 2024 and has since focused on the creation of universal RISC-V microprocessors. These have a workload-agnostic architecture, designed to minimize complexity and costs. The chips developed by Ubitium consolidate processing functions, which proves beneficial for high-performance computing applications. Such applications are commonly found in Internet of Things (IoT) devices, Edge devices, and autonomous systems.</p>
 
</div>

Ubitium raises USD 3.7 million in seed funding to develop universal RISC-V processors

<div>
 
 <p>Akamai Technologies has introduced a new cloud computing service called distributed compute regions. This service is available in various major locations worldwide, including Americas, Europe, Africa, Asia, and Oceania.</p>
 <p>The purpose of these distributed compute regions is to increase the performance of Edge-native applications. They achieve this by decreasing latency, made possible through their proximity to the users.</p> 
 
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Akamai launches distributed compute regions for Edge computing

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<p>Edge Impulse, an ML model platform, has collaborated with semiconductor developer Ambiq to facilitate AI model deployment on Ambiq's Apollo4 Plus System-on-Chip (SoC). This partnership integrates Ambiq's SPOT platform with Edge Impulse's tools, aiding developers in creating scalable Edge AI solutions.</p>

</div> <p><b>Analyst QuickTake:<br>
</b> Edge AI model deployment focuses on running AI models directly on devices at the edge of networks, reducing latency and enabling real-time processing without relying heavily on cloud infrastructure. Recent developments in the space include ZEDEDA’s <a href="https:<br>
//sp-edge.com/updates/33945"> partnerships with Edge Impulse </a> to automate AI model development and deployment at scale and Edge Impulse’s <a href="https:<br>
//sp-edge.com/updates/33966"> partnership with Ceva </a> to develop, train, and deploy embedded ML applications.</p>

Edge Impulse partners with Ambiq to enable AI model deployment

<div>
 <p>Avassa, an edge application management and operations platform, has formed a partnership with edge software provider Wind River. This partnership allows for the integration of Avassa Edge Platform with Wind River's Linux portfolio.</p>
 <p>This collaboration merges Wind River's Linux solutions with Avassa's edge platform, providing a comprehensive software stack for the management of edge workloads. Consequently, organizations can deploy containerized edge applications with heightened control and security.</p>
</div>

Avassa partners with Wind River to integrate edge application management with Linux platforms

<div>
 
 <p>OnLogic, an industrial computers maker, has teamed up with Mosaic Data Science, an AI consultancy, to provide Edge computing solutions capable of AI. </p>
 <p>Through this partnership, the aim is to assist businesses in managing data and making immediate decisions, even in tough industrial scenarios with minimal connectivity.</p>
 
</div>

All Updates

DataQube partners with NodeWeaver to offer new edge cloud solution

Akamai acquires content delivery assets from bankrupt Edgio

Edge Impulse partners with STMicroelectronics to integrate AI into microcontrollers

AONDevices launches AONix Edge AI sensor module

Advantech and ADATA launch new server series for AI computing

Cologix acquires land for 800MW AI-ready data center campus in Ohio

Ubitium raises USD 3.7 million in seed funding to develop universal RISC-V processors

Akamai launches distributed compute regions for Edge computing

Edge Impulse partners with Ambiq to enable AI model deployment

Avassa partners with Wind River to integrate edge application management with Linux platforms

OnLogic partners with Mosaic Data Science to develop Edge AI computing solutions

Edge Computing

DataQube partners with NodeWeaver to offer new edge cloud solution

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