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. …
Dell Technologies has significantly expanded its AI offerings with new PowerEdge servers powered by AMD’s 5th Generation EPYC processors. These servers are engineered for high-performance AI, offering substantial improvements in efficiency and scalability.
Softbank, the Japanese telecommunications giant, is gearing up to bolster its supercomputing capabilities in a bid to support its ambitious generative AI (GenAI) strategy. As reported by Nikkei, Softbank plans to allocate JPY150 billion ($960 million) over the next two years towards upgrading its computing infrastructure, a significant leap from the JPY20 billion invested last year.
In a strategic move to fortify the European Union’s standing in the global cloud computing sector, the European Commission has greenlit a substantial €1.2 billion state funding injection. The funding is earmarked for the Important Projects of Common European Interest (IPCEI) Next Generation Cloud Infrastructure and Services (IPCEI CIS), a collaborative initiative involving seven member countries: France, Germany, Hungary, Italy, the Netherlands, Poland, and Spain.
The UK government’s recent decision to continue a tax exemption policy marking network gear costs as deductible pre-tax profit boosts established telecom firms like BT, although smaller enterprises might not see similar benefits. This fiscal initiative heavily benefits BT in their £15 billion full-fibre project, increasing their capital spending by £300 million annually, expediting their fibre rollout to 25 million homes by 2026.
The American chipset manufacturer Nvidia is rolling out its EGX platform to bring real-time artificial intelligence (AI) to the edge of the network. Nvidia EGX is an accelerated computing platform, which boasts low-latency AI that enables companies to perceive, understand and act in real time on continuous streaming data between 5G base stations, warehouses, retail stores, factories and beyond. AI computing will occur at the edge of the network, where sensors collect data before it is sent to cloud-connected data centers. This platform is expected to satisfy the increasing demand for AI applications to assist numerous devices streaming continuous raw sensor data and is designed for high-throughput AI at the edge where data is primarily sourced to achieve instantaneous and guaranteed response times while reducing bandwidth to the cloud. According to the company, by 2025, there could be up to 150 billion machine sensors and the Internet of Things (IoT) devices streaming…
