Dell Technologies and AMD introduced the Dell PowerEdge XE9680 Server with the AMD Instinct MI300X Accelerator and ROCm 6 software. Tailored for machine learning, deep learning, and generative AI, this server promises enhanced performance in data centers, particularly benefiting the 5G transition and network edge computing.
In a transformative development for the telecommunications and enterprise sectors, Italtel, a global ICT company, has forged a strategic alliance with Nearby Computing, a leader in edge-to-cloud automation and orchestration platforms. This partnership is poised to expedite the deployment of 5G solutions, private networks, and edge computing, representing a major leap forward in the industry.
The global enthusiasm for artificial intelligence (AI) is set to significantly boost spending in edge computing infrastructure and services, with projections from IDC indicating a jump to $232 billion this year, marking a 15.4% increase from the previous year. This surge reflects the growing demand for technologies that facilitate faster and more efficient data processing closer to the source of data generation.
Despite the complexities, the Telecoms.com survey reveals an exciting consensus: The enterprise private networks may become a 5G goldmine in the next few years. Interestingly, the mobile edge’s role shows signs of decrease. But what about Multi-Access Edge Computing and the high cost of managing mixed networks? And how can vendor selection help overcome security concerns? With both telecoms and customers keen on leveraging 5G’s potential, it’s a thrilling tale of advancement and challenges.
Verizon has announced a successful edge computing trial on a live 5G network, conducted using their newly formed 5G test bed in Houston. The company’s engineers used Multi-Access Edge Compute (MEC) equipment and MEC platform software, incorporated in a network facility closer to the network edge, and managed to decrease network latency by half. The test results are important for next generation networks, enabling 5G to support low-latency applications such as Virtual Reality (VR). Low latency refers to minimizing the round-trip time taken by data packets. This is an essential yet enormously challenging attribute for a 5G network, and its high performance requirements. At present, many mobile applications depend on cloud-based processing that is handled in centralized data centers, and the physical distances involved increase latency. According to Verizon, locating the computing power nearer to the users at the network edge significantly decreases the time to deliver services. …
The merger between EdgeMode and BlackBerry AIF (BAIF) is set to redefine AI infrastructure by jointly managing 4.4 gigawatts of data center capacity across Europe. With a focus on high-density, renewable-powered solutions, this strategic union aims to meet the escalating demands for AI-driven infrastructure.
Rakuten Mobile is testing smart surveillance using edge AI at Kobe’s Noevir Stadium to boost public safety and ease network load. Partnering with AWL and Vissel Kobe, the initiative processes video locally for faster response and reduced costs. It aims to create a flexible AI system for use in venues ranging from stadiums to remote areas.
Hewlett Packard Enterprise and Nvidia’s AI factory solutions propel AI adoption, featuring AI-ready RTX PRO Servers and HPE Private Cloud AI. Merging Nvidia’s tech with HPE’s ecosystem, they offer a complete AI framework for enterprises.
Ericsson and Supermicro join forces to advance edge AI, combining 5G, SD-WAN, and powerful computing platforms. Their integrated solutions enable real-time data processing for industries like retail, healthcare, and manufacturing, even in remote areas. This partnership allows enterprises to overcome wired connection limits and deploy AI workloads flexibly and efficiently.
Crusoe is investing $11.6 billion to expand its Stargate AI campus in Texas, aiming to power next generation AI with renewable energy and advanced infrastructure. Backed by major partners, the project will house hundreds of thousands of Nvidia GPUs and create thousands of jobs.
