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NVIDIA currently has 11 tracked articles across 3 technology areas and 3 intelligence categories. [NVIDIA | Analog / Mixed Signal] DAC 2026: Siemens has added new Nvidia AI software to its Intelligence Center X, creating a characterisation AI agent for self-verifying semiconductor and PCB design workflows. The autonomous and long-running […] The post Siemens adds characterisation AI agent to automate design iteration appeared first on Electronics Weekly .
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[NVIDIA | Analog / Mixed Signal] DAC 2026: Siemens has added new Nvidia AI software to its Intelligence Center X, creating a characterisation AI agent for self-verifying semiconductor and PCB design workflows. The autonomous and long-running […] The post Siemens adds characterisation AI agent to automate design iteration appeared first on Electronics Weekly .
[NVIDIA | AI | AI] As AI moves from model development to production inference, compute demand is accelerating and shifting toward continuously operating AI factories that generate tokens at scale. This shift requires access to large‑scale, multi‑tenant accelerated computing that can come online quickly, stay highly utilized and support the economics of token‑scale AI...
[NVIDIA | AI] From open models to real-time simulation, AI and graphics breakthroughs are transforming media, content creation and robotics.
[NVIDIA | Education | AI] Lowest cost per token from extreme codesign maximizes intelligence per dollar for post-training in the agentic era.
[NVIDIA | Education | AI] General-purpose robots and autonomous machines are moving from research labs to real-world mass-market deployment, creating demand for compact, power-efficient AI supercomputers capable of running foundation models at the edge. To meet that need, NVIDIA today introduced the T3000 and T2000, new modules based on the NVIDIA Thor architecture that enable mass-market robotics and edge AI […]
[NVIDIA | Education | AI] Home to leading manufacturers, robotics pioneers, infrastructure builders and iconic gaming companies, of course, Japan is one of the world’s centers of AI — building across the full stack with NVIDIA technologies. This week NVIDIA and its partners in Japan are showcasing the AI ecosystem’s latest advancements. Check back here for updates.
[NVIDIA | AI] NVIDIA Nemotron 3 Ultra is offering leading performance at lower cost than top closed models with the largest and most widely adopted AI agent orchestration platform. LangChain tuned its Deep Agents harness for NVIDIA Nemotron 3 Ultra, achieving the highest accuracy among open models, while completing more tasks at higher throughput and running at 10x […]
[NVIDIA | AI] Max single-threaded CPUs at scale are a new category of CPUs built for the agentic AI era. Across the creation and deployment of an agentic system, the CPU is on the critical path for reasoning, response time and learning. CPUs are the processor which executes the work the AI model commands: the tool calling, code […]
[NVIDIA | AI] Open source AI has shown how quickly developers can innovate when models, data and tools are shared. Robotics has the same opportunity, but advancements in physical AI development can still be gated by costly and fragmented resources, from large datasets and robot foundation models to simulation, compute and validation tools. NVIDIA and Hugging Face are […]
[NVIDIA | Education | AI] Every year, the International Conference on Machine Learning (ICML) reveals where thousands of AI researchers have decided to put their work. This year’s accepted papers reveal a clear direction: open frontier models and open AI infrastructure have become foundational to how modern AI science gets done. NVIDIA had 74 papers accepted at ICML 2026. Approximately […]
[NVIDIA | AI] Erin Davis calls it the “SuperDuperPOD.” That’s two things in one name: pharmaceutical giant Bristol Myers Squibb (BMS) already runs one of the largest AI clusters in life sciences, with serious results to show for it. And they’re doubling down. BMS announced today it is deploying its second NVIDIA DGX SuperPOD, this one built on […]
