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Nokia has enhanced its WaveSuite optical network platform. Companies across various industries are increasing their investment in artificial intelligence. Ericsson launched EFTG to drive 5G advancements in U.S. federal agencies for national digital transformation. NVIDIA’s launch of the GB200 Grace Blackwell Superchip promises to revolutionize generative AI’s efficiency and performance.

Nvidia is setting its sights on a more significant role within the mobile networking sphere, particularly in the emerging field of 6G technology. At its annual GTC AI event, the company unveiled its ambitious 6G Research Cloud Platform, positioning itself as a key player in the next evolution of mobile technology. This initiative is designed to leverage Nvidia’s expertise in chips and AI, demonstrating its capabilities beyond the realm of 5G.

In a strategic move aimed at bolstering its standing in the realm of artificial intelligence (AI), Swiss telecommunications giant Swisscom has entered into a partnership with Nvidia. The collaboration, unveiled at the AI House Davos during the World Economic Forum, involves the creation of generative AI full-stack supercomputers utilizing Nvidia accelerators and AI software in Switzerland and Italy.

Nvidia, the graphics processing unit heavyweight, plans to enter Intel’s domain with ARM-based chips tailor-made for Windows PCs, according to insiders. AMD, another significant player in this space, is also reportedly considering ARM technology. This move, potentially hitting the market by 2025, has been stimulated by Microsoft’s interest in duplicating the efficiency of Apple’s ARM-use in AI processing. Yet, Nvidia’s past attempt to acquire ARM was thwarted by regulators, putting the company’s motives under scrutiny as the PC CPU sector braces for potential disruption.

Nvidia aims to convince telecoms to use its GPUs in 5G networks, citing NTT Docomo’s recent GPU-accelerated 5G launch in Japan. Yet, the role of Nvidia’s GPUs in telecom remains unclear. Meanwhile, the FCC breaks a two-year deadlock, reigniting net neutrality debates. Telefonica Germany partners with Skylo for global IoT connectivity, expanding options for businesses and consumers. Nokia explores rugged 5G devices for harsh environments, catering to specialized industries with challenging conditions.

After the British Competition & Market Authority (CMA) uncovered and voiced severe competition concerns, the planned 40-billion-dollar merger between American chipmaker Nvidia and Arm is at risk.   The CMA has expressed apprehension that the proposed relationship between Nvidia and the UK chip specialist Arm might be motivated by and be able to limit or even restrict access to the intellectual property (IP) of Arm. Currently, this technology is utilized to make semiconductor chips by firms that compete with Nvidia.   The potential absence of competition could interfere with innovation in various industries, including data centers and the Internet of Things (IoT). This might lead to products that are more costly or of reduced quality.   The CEO of the CMA Andrea Coscelli said: “We’re concerned that Nvidia controlling Arm could create real problems for NVIDIA’s rivals by limiting their access to key technologies, and ultimately stifling innovation across a…

Samsung’s next flagship phone chip, the Exynos 990, is 20% faster Samsung has released its new Exynos 990 flagship chipset together with the 5G-capable Exynos Modem 5123 that are expected to help the next generation of mobile devices make intensive use of video and artificial intelligence (AI) applications as well as 5G communications. The Korean electronics giant said that the Exynos 990 is 20 percent faster at executing ordinary processing tasks, 20 percent faster in graphics processing and twice as fast in software tuned for the chip’s AI acceleration scheme. Read more at: https://tinyurl.com/y2qmemq5 Nvidia and Ericsson announce the first GPU-powered 5G mobile network At this year’s Mobile World Congress in Los Angeles, California, Nvidia announced the partnership with Ericsson and Red Hat to help mobile network operators accelerate 5G deployment. The company has compared the power of its GPU-accelerated EGX hardware to traditional CPU-based servers and claims that a…

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…