AI agents are expected to be involved in most business tasks within three years, with effective human-agent collaboration projected to increase human engagement in high-value tasks by 65%.
AI reasoning, inference and networking will be top of mind for attendees of next week’s Hot Chips conference. A key forum for processor and system architects from industry and academia, Hot Chips — running Aug. 24-26 at Stanford University — showcases the latest innovations poised to advance AI factories and drive revenue for the trillion-dollar
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Across the globe, AI factories are rising — massive new data centers built not to serve up web pages or email, but to train and deploy intelligence itself. Internet giants have invested billions in cloud-scale AI infrastructure for their customers. Companies are racing to build AI foundries that will spawn the next generation of products
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From AI assistants doing deep research to autonomous vehicles making split-second navigation decisions, AI adoption is exploding across industries. Behind every one of those interactions is inference — the stage after training where an AI model processes inputs and produces outputs in real time. Today’s most advanced AI reasoning models — capable of multistep logic
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Physical AI is becoming the foundation of smart cities, facilities and industrial processes across the globe. NVIDIA is working with companies including Accenture, Avathon, Belden, DeepHow, Milestone Systems and Telit Cinterion to enhance operations across the globe with physical AI-based perception and reasoning. The continuous loop of simulating, training and deploying physical AI offers sophisticated
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Packing the power of the NVIDIA Blackwell architecture in compact, energy-efficient form factors, the NVIDIA RTX PRO 4000 Blackwell SFF Edition and NVIDIA RTX PRO 2000 Blackwell GPUs are coming soon — delivering AI acceleration for professional workflows across industries. Applications are becoming increasingly AI accelerated, and more users need AI performance, no matter the
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Two new open-weight AI reasoning models from OpenAI released today bring cutting-edge AI development directly into the hands of developers, enthusiasts, enterprises, startups and governments everywhere — across every industry and at every scale. NVIDIA’s collaboration with OpenAI on these open models — gpt-oss-120b and gpt-oss-20b — is a testament to the power of community-driven
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As one of the world’s largest emerging markets, Indonesia is making strides toward its “Golden 2045 Vision” — an initiative tapping digital technologies and bringing together government, enterprises, startups and higher education to enhance productivity, efficiency and innovation across industries. Building out the nation’s AI infrastructure is a crucial part of this plan. That’s why
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In many parts of the world, including major technology hubs in the U.S., there’s a yearslong wait for AI factories to come online, pending the buildout of new energy infrastructure to power them. Emerald AI, a startup based in Washington, D.C., is developing an AI solution that could enable the next generation of data centers
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To speed up AI adoption across industries, HPE and NVIDIA today launched new AI factory offerings at HPE Discover in Las Vegas. The new lineup includes everything from modular AI factory infrastructure and HPE’s AI-ready RTX PRO Servers (HPE ProLiant Compute DL380a Gen12), to the next generation of HPE’s turnkey AI platform, HPE Private Cloud
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Industrial AI isn’t slowing down. Germany is ready. Following London Tech Week and GTC Paris at VivaTech, NVIDIA founder and CEO Jensen Huang’s European tour continued with a stop in Germany to discuss with Chancellor Friedrich Merz new partnerships poised to bring breakthrough innovations on the world’s first industrial AI cloud. This AI factory, to
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At GTC Paris — held alongside VivaTech, Europe’s largest tech event — NVIDIA founder and CEO Jensen Huang delivered a clear message: Europe isn’t just adopting AI — it’s building it. “We now have a new industry, an AI industry, and it’s now part of the new infrastructure, called intelligence infrastructure, that will be used
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In a new effort to advance sovereign AI for European public service media, NVIDIA and the European Broadcasting Union (EBU) are working together to give the media industry access to high-quality and trusted cloud and AI technologies. Announced at NVIDIA GTC Paris at VivaTech, NVIDIA’s collaboration with the EBU — the world’s leading alliance of
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Telecom companies last year spent nearly $295 billion in capital expenditures and over $1 trillion in operating expenditures. These large expenses are due in part to laborious manual processes that telcos face when operating networks that require continuous optimizations. For example, telcos must constantly tune network parameters for tasks — such as transferring calls from
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Using NVIDIA platforms, tools and libraries, European telecommunications institutions are accelerating efforts to develop 6G — the next generation of cellular technology, with AI woven in from the start. 6G will be an AI-native platform that fosters innovation, enables new services, enhances customer experiences and promotes sustainability. Since the launch of the NVIDIA 6G Developer
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AI supercomputing is accelerating the development of new quantum applications, driving breakthroughs in critical industries such as aerospace, automotive and manufacturing. Underscoring that opportunity, Ansys announced today it is using the NVIDIA CUDA-Q quantum computing platform running on the Gefion supercomputer to advance quantum algorithms for fluid dynamics applications. Gefion is Denmark’s first AI supercomputer,
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AI is already driving revenue increases for financial institutions — and with new investments in AI infrastructure and development across Europe, the region’s financial services industry is poised to mint even greater value from the technology. With sovereign AI models and agents built using AI factories, financial institutions and digital payment companies can extract powerful
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The integration of quantum processors into tomorrow’s supercomputers promises to dramatically expand the problems that can be addressed with compute — revolutionizing industries including drug and materials development. In addition to being part of the vision for tomorrow’s hybrid quantum-classical supercomputers, accelerated computing is dramatically advancing the work quantum researchers and developers are already doing
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Germany is building on a long history of engineering innovation with new AI investments poised to transform the country’s economy — including the automotive, banking, manufacturing and robotics industries. The country is deploying tens of thousands of NVIDIA GPUs to power AI factories that generate intelligence for businesses and researchers, optimized AI software to run
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The European Union is investing over $200 billion into AI — but to gain the most value from this investment, its developers must navigate three key constraints: limited compute availability, data-privacy needs and safety priorities. Unveiled at the NVIDIA GTC Paris keynote at VivaTech, a new suite of NVIDIA technologies is making it easier to
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