Nvidia’s groundbreaking Grace Hopper superchip, now in full production, aims to revolutionize generative AI applications and transform various industries, from telecommunications to automotive. Merging advanced CPU and GPU capabilities, it offers improved infrastructure while addressing Open RAN architecture debates.
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…
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…
Ooredoo’s innovative AI cloud service in Qatar harnesses advanced Nvidia Hopper GPUs, bolstering sectors such as energy, finance, and healthcare. This cutting-edge development, aligned with Qatar’s Digital Agenda 2030, provides high-performance AI infrastructure locally, ensuring fast, secure data handling.
Deutsche Telekom has launched T Cloud, a unified platform delivering customizable cloud solutions tailored to European enterprises. Alongside a partnership with Nvidia to build Europe’s first industrial AI cloud, the company aims to provide secure, sovereign digital infrastructure supporting regulatory compliance, industrial innovation, and technological leadership.
Alibaba Cloud is accelerating its global expansion with new data centers in Malaysia and the Philippines and a $52.7 billion investment in infrastructure. The launch of its AI Global Competency Center in Singapore highlights its push to train talent and deploy AI across industries.
SoftBank aims to spearhead the artificial super intelligence era, highlights CEO Masayoshi Son. With strategic partnerships involving OpenAI and Arm, SoftBank envisions establishing a global AI platform akin to the dominance seen in tech giants like Microsoft.
KDDI and HPE are set to revolutionize Japan’s digital landscape with their upcoming AI data center in Osaka. This collaboration aims to boost AI application development and LLM training. With Nvidia’s Blackwell architecture and advanced cooling, this facility promises peak performance and sustainability.
Singapore’s state-owned firm Temasek is collaborating with Microsoft, BlackRock, and MGX to revolutionize global AI infrastructure, targeting a $100 billion investment. This ambitious AI Infrastructure Partnership includes enhancing AI data centers, showcasing AI’s transformative potential on industries globally, and aligning efforts with major global entities for rapid advancement.
Samsung is set to launch its innovative AI-powered coding assistant, Cline, designed to boost productivity and accelerate AI integration within its operations. The Korean tech powerhouse aims for a July rollout, enhancing coding capabilities with natural language instructions.
