Nvidia

Nvidia’s Helix Parallelism enables LLMs to process encyclopedia-sized contexts in real-time. Inspired by DNA structures, Helix uses KV, tensor, and expert parallelism to break memory limits. Running on Nvidia’s Blackwell GPUs, it boosts concurrency 32x while shrinking latency, a leap for legal AI, coding copilots, and enterprise-scale agents.
Elon Musk’s generative AI firm, xAI, is targeting $4.3 billion in new equity funding, following its previous $6 billion raise and a $5 billion debt effort. The capital will support high-cost AI models like Grok and Aurora, expand massive GPU-powered data centers, and drive xAI’s ambition to compete with leaders like OpenAI and DeepMind. Investors remain interested despite concerns over spending, betting on Musk’s strategy to blend social media and AI under one ecosystem.
Fastweb+Vodafone has introduced the FastwebAI Suite, Italy’s first sovereign GenAI platform designed for both businesses and public institutions. Built on secure, in-country infrastructure and powered by MIIA, an Italian-trained LLM, the platform ensures regulatory compliance with EU AI laws. Early adopters include the Italian Senate, ISTAT, and top universities. With consulting via the FastwebAI Factory and upcoming modules for security and governance, this launch strengthens Vodafone’s role in Italy’s digital transformation.
NVIDIA and AMD will launch AI chips in China by July 2025, including the B20 and Radeon AI PRO R9700, tailored to comply with U.S. export rules. With performance capped under regulatory thresholds, these GPUs aim to support China’s enterprise AI needs without violating tech trade restrictions. NVIDIA is also rolling out a lower-cost chip based on Blackwell architecture, signaling a shift toward compliant yet capable AI compute options in restricted markets.
At THINK 2025, IBM accelerates GenAI adoption with new enterprise-ready tools—from watsonx AI agents to secure LinuxONE infrastructure and hybrid cloud automation. The company’s latest updates aim to move businesses from GenAI pilots to full-scale deployments with enhanced integration, accuracy, and performance.
Nvidia opposes the U.S. proposed AI chip export controls, highlighting potential negative impacts on innovation and global competitiveness. This article explores the differing views within the tech industry, focusing on the economic and strategic implications of such regulations.
Huawei’s new AI chip, the Ascend 910D, has raised concerns about Nvidia’s China business, but analysts say it lacks the global performance, ecosystem, and efficiency to compete with Nvidia’s H100 GPU. Built on 7nm technology with limited software support, Huawei’s chip may gain local traction but poses no major international threat—yet.
The Open Compute Project (OCP) has launched a centralized AI portal offering infrastructure tools, white papers, deployment blueprints, and open hardware standards. Designed to support scalable AI data centers, the portal features contributions from Meta, NVIDIA, and more, driving open innovation in AI cluster deployments.
Indian telecom companies such as Jio and Airtel are moving beyond internal AI use cases to co-develop monetizable, India-focused AI applications in partnership with tech giants like Google, Nvidia, Cisco, and AMD. These collaborations are enabling sector-specific AI tools across healthcare, education, and agriculture, boosting operational efficiency, customer experience, and creating new revenue streams for telecom operators.
NVIDIA has launched a major U.S. manufacturing expansion for its next-gen AI infrastructure. Blackwell chips will now be produced at TSMC’s Arizona facilities, with AI supercomputers assembled in Texas by Foxconn and Wistron. Backed by partners like Amkor and SPIL, NVIDIA is localizing its AI supply chain from silicon to system integration—laying the foundation for “AI factories” powered by robotics, Omniverse digital twins, and real-time automation. By 2029, NVIDIA aims to manufacture up to $500B in AI infrastructure domestically.
In Technology Game Changers, leaders from Agility Robotics, Lenovo, Databricks, Mistral AI, and Maven Clinic showcase how AI and robotics are moving from novelty to necessity. From Peggy Johnson’s Digit transforming warehouse labor, to Lenovo’s hybrid AI ecosystem, Databricks’ frictionless AI UIs, Mistral’s sovereignty-focused open-source models, and Maven’s virtual women’s health platform, this article explores the intelligent, personalized, and responsible future of tech. The next frontier of innovation isn’t just smart—it’s human-centered.
NVIDIA and Google Cloud are collaborating to bring secure, on-premises agentic AI to enterprises by integrating Google’s Gemini models with NVIDIA’s Blackwell platforms. Leveraging confidential computing and enhanced infrastructure like the GKE Inference Gateway and Triton Inference Server, the partnership ensures scalable AI deployment without compromising regulatory compliance or data sovereignty.
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Telecom networks are facing unprecedented complexity with 5G, IoT, and cloud services. Traditional service assurance methods are becoming obsolete, making AI-driven, real-time analytics essential for competitive advantage. This independent industry whitepaper explores how DPUs, GPUs, and Generative AI (GenAI) are enabling predictive automation, reducing operational costs, and improving service quality....
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Explore the collaboration between Purdue Research Foundation, Purdue University, Ericsson, and Saab at the Aviation Innovation Hub. Discover how private 5G networks, real-time analytics, and sustainable innovations are shaping the "Airport of the Future" for a smarter, safer, and greener aviation industry....
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This article explores the deployment of 5G NR Transparent Non-Terrestrial Networks (NTNs), detailing the architecture's advantages and challenges. It highlights how this "bent-pipe" NTN approach integrates ground-based gNodeB components with NGSO satellite constellations to expand global connectivity. Key challenges like moving beam management, interference mitigation, and latency are discussed, underscoring...

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