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China bogeyman looms large over American firms’ AI doomsday scenario

ai, AI (Artificial Intelligence), anthropic, Artificial Intelligence, china, deepseek, nvidia, OpenAI, Sam Altman, Technology, Trump administration, US foreign policy, US news, US politics

Silicon Valley China hawks, Anthropic CEO Dario Amodei among them, fear the country surpassing US’s AI lead as much as superintelligence destroying humanityWhen reporters asked Donald Trump this week if he supported calls to slow down the development of artificial intelligence out of growing fears for cybersecurity, public safety and the fate of humanity, he […]

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Anthropic’s CEO calls for AI slowdown as Nvidia’s urges acceleration

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At San Francisco conference Dario Amodei reiterates need for AI slowdown as Jensen Huang argued against itAnthropic’s CEO took to the stage at a conference in San Francisco on Tuesday to reiterate his call for a slowdown of AI development. Following shortly after, Nvidia’s CEO argued against such deceleration. Dario Amodei used an automotive analogy

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Accuracy score results for the post-trained NVIDIA Nemotron 3.5 Lightning AI model.

Palantir Foundry and cuOpt drive NVIDIA supply chain allocation

ai, AI (Artificial Intelligence), AI Business Strategy, AI Hardware & Chips, AI in Action, Artificial Intelligence, cuopt, Data Engineering & MLOps, Featured News, Features, Infrastructure & Hardware, Inside AI, linear programming, manufacturing, Manufacturing & Engineering AI, Natural Language Processing (NLP), nemotron, nvidia, Open-Source & Democratised AI, Palantir, palantir foundry, physical ai, Reinforcement Learning, Retail & Logistics AI, supply chain, World of Work

NVIDIA is using Palantir Foundry and cuOpt to automate its hardware supply chain allocation decisions across global manufacturing sites. The company measures operational delivery from wafer-out to first token. This window splits into time-to-rack (the transit from fab output to an assembled data centre system) and time-to-token (which covers power, cooling, networking, and day-one software

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OneRail uses Nvidia AI for real-time last-mile delivery optimisation

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OneRail has launched an AI-powered delivery platform that uses Nvidia technology to help retailers, wholesalers, and distributors decide how individual orders should be delivered. Called OmniSTAR, the system evaluates options including owned fleets, couriers, parcel carriers, and other delivery modes, then selects the lowest-cost option that meets the required service level, according to OneRail. The

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Chart showing NVIDIA contributions to Hugging Face compared to rivals.

NVIDIA to acquire Hugging Face for $12.93B

ai, AI (Artificial Intelligence), AI Mergers & Acquisitions, Artificial Intelligence, Data Engineering & MLOps, Featured News, Founders & Visionaries, hugging face, infrastructure, Infrastructure & Hardware, Inside AI, Jensen Huang, Models, nvidia, Open Source, open weights, Open-Source & Democratised AI

NVIDIA has agreed to acquire Hugging Face for $12.93 billion to scale the open-source model repository’s platform and infrastructure. The transaction targets platform growth and infrastructure investment, aiming to expand AI access for enterprise developers, software engineers, and research institutions globally. Built over the past decade by Clem Delangue, Julien Chaumond, Thomas Wolf, and their

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Nvidia to buy developer platform Hugging Face in $12.9bn deal

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Semi-conductor giant bets that support for open AI models could offset potential slowdown in demand for chipsNvidia will buy the popular developer platform Hugging Face for nearly $13bn, betting that support for ⁠open AI models could offset a potential slowdown in demand for the semiconductor giant’s chips.Shares ⁠in Nvidia were ⁠slightly lower ​after the $12.93bn

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A quarter of Nvidia’s business next year comes from labs it is financing

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Nvidia has put nearly US$50 billion into the AI labs that buy its chips, and has lined up commitments for more than $500 billion Colette Kress, the company’s chief financial officer, told analysts on August 26 that demand from the labs Nvidia backs with its own balance sheet will contribute toward roughly a quarter of its business

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NVIDIA Jetson Orin Nano 2 brings physical AI to drones and robots

ai, AI (Artificial Intelligence), ai hardware, AI Hardware & Chips, Artificial Intelligence, Computer vision, Drones, edge ai, Featured News, How It Works, Infrastructure & Hardware, Inside AI, jetson orin, Manufacturing & Engineering AI, multimodal, Multimodal AI, Natural Language Processing (NLP), nvidia, physical ai, Retail & Logistics AI, Robotics, Service Industry AI, tensor cores

NVIDIA has unveiled the Jetson Orin Nano 2, an edge robotics computer aimed at bringing physical AI to drones, robots, and vision systems. The company is positioning the new board as an entry-level option for developers who want generative AI models running directly on a machine instead of inside a data centre. NVIDIA’s argument for

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Taiwan charges nine people for smuggling ‘high-end’ AI servers to China

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Among those charged are two Super Micro employees and one from Nvidia, marking another flashpoint in US-China AI rivalryTaiwanese prosecutors charged nine people Monday, including one from Nvidia and two from Super Micro, for illegally exporting “high-end AI servers” to mainland China, adding another wave of turbulence in the AI ​​rivalry between China and the

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How to Design and Validate an NVIDIA GB200 or GB300 NVL72 AI Factory

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TL;DR An NVIDIA NVL72 AI factory is not a collection of GPU servers connected to a fast Ethernet network. Each rack is a tightly coupled, 72-GPU NVLink scale-up domain with rack-level firmware, power, cooling, management, and service dependencies. Additional racks are joined through a separate scale-out fabric, commonly a dual-plane, rail-optimized Spectrum-X design for current

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