At #DTWIgnite, in partnership with our partners, we present the data, models, simulation, and secure execution stack enabling telecom operators to build flows of
@nvidia
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Jensen Huang compares an AI agent to a worker in a workshop
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Jensen Huang’s simplest explanation of an AI agent: a worker in a workshop.
— NVIDIA (@nvidia) 19 juin 2026
The model thinks. The harness gives it form. Tools and skills let it act. And the runtime gives the agent a place to get work done. pic.twitter.com/mrahjDICRQJensen Huang's simplest explanation of an AI agent: a worker in a workshop. The model thinks. The harness gives it shape. Tools and skills allow it to act. And the execution environment gives the agent a place to perform its work.
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VivaTech: France transforms AI ambitions into reality
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At VivaTech, we share how France transforms AI ambitions into production reality. AI factories come into service, open models progress, and agents are deployed across various sectors, including healthcare, telecommunications, the
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NVIDIA thanks Satya Nadella for MLPerf record on Blackwell
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Thank you @satyanadella Excellent work with @Azure on one of the largest MLPerf Training submissions to date on NVIDIA Blackwell: 8,192 GPUs on NVIDIA GB200 NVL72 systems, Llama 3.1 405B training goal achieved in just 7.07 minutes. More to come
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GB300 NVL72 delivers 1.6x performance on DeepSeekV3 pretraining
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Correction: GB300 NVL72 delivers 1.6x performance on DeepSeekV3 pretraining at 512 GPU scale. (Ref: results 6.0-0022 and 6.0-0101)
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IneffableLabs builds super-learner with NVIDIA Vera Rubin NVL72
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@IneffableLabs builds a super-learner that learns from experience, requiring enormous compute scale. They chose NVIDIA Vera Rubin NVL72, one of the largest clusters on @GoogleCloud, to power their mission to achieve superintelligence.
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NVIDIA Blackwell platform dominates MLPerf Training 6.0 benchmarks
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The NVIDIA Blackwell platform just swept MLPerf Training 6.0, delivering fastest performance and largest scale.
— NVIDIA (@nvidia) 16 juin 2026
Beyond the benchmarks, capabilities like the Reliability, Availability, and Serviceability Engine and NVIDIA Resiliency Extension deliver fewer interruptions and… pic.twitter.com/QH77j4UA8nThe NVIDIA Blackwell platform just swept MLPerf Training 6.0, delivering fastest performance and largest scale. Beyond the benchmarks, capabilities like the Reliability, Availability, and Serviceability Engine and NVIDIA Resiliency Extension deliver fewer interruptions and
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Energy: The Foundation of AI’s 5-Layer Cake
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Energy is the foundation of the 5-Layer Cake of AI. As demand for AI accelerates, energy is the key constraint on growth. From energy and utilities to surface and underground operations — AI, digital twins, and agents
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First infrastructure benchmark for agentic AI
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The first infrastructure benchmark for agentic AI has arrived. An AI agent chains tens to hundreds of AI model calls, using tools, gathering context, and iterating until the task is complete. Existing benchmarks
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Agentic AI orchestrates EC workflows between design tools
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EC workflows are increasingly defined by the connections between tools, not the tools themselves.
— NVIDIA (@nvidia) 11 juin 2026
Agentic AI has the potential to streamline everything from early design exploration to visualization by orchestrating work across applications, reducing friction and accelerating… https://t.co/Bf0KHsEBToEC workflows are increasingly defined by the connections between tools, rather than the tools themselves. Agentic AI has the potential to streamline everything from early design exploration to visualization, by orchestrating work across the