gtc
24 articles about gtc in AI news
Jensen Huang at GTC 2026 Declares 'Arrival of Physical AI' Amid Showcase of Advanced Robots
NVIDIA CEO Jensen Huang presented a major showcase of advanced robotics at GTC 2026, framing it as the arrival of 'physical AI.' The announcement signals a strategic push into embodied AI systems.
NVIDIA CEO Jensen Huang's GTC 2025 Keynote Scheduled to Begin
NVIDIA CEO Jensen Huang's keynote for the GPU Technology Conference (GTC) 2025 is set to begin in 60 minutes. The event is a major platform for announcing new AI hardware, software, and partnerships.
NVIDIA's GTC Park to Feature 'Build-a-Claw' Workshop for Creating AI Agents
NVIDIA is launching a hands-on 'Build-a-Claw' experience at GTC Park from March 16-19, allowing attendees to create their own long-running AI agents using the fast-growing OpenClaw open-source project.
NVIDIA GTC 2025 Preview: Leaked Highlights Signal Major AI Hardware and Software Breakthroughs
Early leaks from NVIDIA's upcoming GTC 2025 conference reveal significant advancements in AI hardware, software frameworks, and robotics. The preview suggests major performance leaps and new capabilities that could reshape AI development across industries.
NVIDIA CEO Jensen Huang: 'We're Going to Bring OpenAI to AWS' to Drive 'Enormous' Cloud Consumption
NVIDIA CEO Jensen Huang stated at GTC 2026 that NVIDIA will bring OpenAI to AWS, driving massive cloud compute consumption and expanding OpenAI's compute-constrained reach.
Nvidia Enters the AI Agent Arena: NemoClaw Targets Open Source Dominance
Nvidia is reportedly developing NemoClaw, an open-source AI agent platform to compete with OpenClaw. The announcement is expected at next week's GTC conference, signaling Nvidia's move to set standards in the rapidly evolving 'claw' ecosystem.
NVIDIA's Inference Breakthrough: Real-World Testing Reveals 100x Performance Gains Beyond Promises
NVIDIA's GTC 2024 promise of 30x inference improvements appears conservative as real-world testing reveals up to 100x gains on rack-scale NVL72 systems. This represents a paradigm shift in AI deployment economics and capabilities.
NVIDIA CEO Jensen Huang Declares All Future Software Will Be Agentic
NVIDIA CEO Jensen Huang stated that all future software will be agentic, meaning every software company must transform into an agentic company. This vision positions AI agents as the fundamental architecture for future computing.
Jensen Huang Counters Musk's 'One Robot Per Person' Vision, Argues for Multiples to Address Labor Shortages
NVIDIA CEO Jensen Huang responded to Elon Musk's expectation of one robot per person, stating the need for 'more than 1' per person to address severe labor shortages and accelerate corporate growth.
Jensen Huang Warns AI Will Disrupt 'Task-Based' Jobs, Urges Workforce to Learn Automation
NVIDIA CEO Jensen Huang stated that AI will eliminate many tasks, directly disrupting jobs defined by those tasks. He urged workers whose roles include such tasks to learn to use AI to automate them.
Fractal Analytics Launches LLM Studio for Enterprise Domain-Specific AI
Fractal Analytics has launched LLM Studio, an enterprise platform built on NVIDIA infrastructure to help organizations build, deploy, and manage custom, domain-specific language models. It emphasizes governance, control, and moving beyond generic AI APIs.
Nvidia and Antoine Arnault Partner to Advance Virtual Try-On Technology
Nvidia and Antoine Arnault are collaborating to push virtual try-on technology forward, leveraging Nvidia's AI hardware and Arnault's luxury industry influence. This partnership aims to solve long-standing accuracy and scalability challenges in digital fashion fitting.
The LLM Evaluation Problem Nobody Talks About
An article highlights a critical, often overlooked flaw in LLM evaluation: the contamination of benchmark data in training sets. It discusses NVIDIA's open-source solution, Nemotron 3 Super, designed to generate clean, synthetic evaluation data.
Nvidia's Jensen Huang Dismisses Custom AI Chip Threat: 'Science Projects' Versus 'AI Factories'
Nvidia CEO Jensen Huang confidently dismissed concerns about custom AI chips challenging Nvidia's dominance, framing competitors' efforts as 'science projects' while Nvidia builds revenue-generating 'AI factories' with a complete platform approach.
NVIDIA Breaks the Data Bottleneck: Nemotron-Terminal and Nemotron 3 Super Democratize Agentic AI
NVIDIA has launched Nemotron-Terminal, a systematic data engineering pipeline to scale LLM terminal agents, and Nemotron 3 Super, a massive 120B-parameter open-source model. These releases aim to solve the critical data scarcity and transparency issues plaguing autonomous AI agent development.
NVIDIA Bets Billions on Murati's Vision: Gigawatt AI Partnership Signals New Era
NVIDIA and Thinking Machines Lab have formed a multiyear strategic partnership to deploy at least one gigawatt of next-generation Vera Rubin AI systems. The deal, valued in the tens of billions, pairs the chip giant with the startup founded by former OpenAI CTO Mira Murati to advance frontier AI models.
Andrew Ng's Context Hub Solves AI's Documentation Dilemma for Coding Agents
Andrew Ng's team at DeepLearning.AI has launched Context Hub, an open-source tool that provides coding agents with real-time API documentation access. This addresses a critical bottleneck in agentic AI workflows where outdated documentation causes failures.
Anthropic's Claude Code Launches Autonomous Code Review, Pushing AI Beyond Simple Generation
Anthropic has launched Code Review in Claude Code, a multi-agent system that automatically analyzes AI-generated code for logic errors and security vulnerabilities. This represents a shift from AI as a coding assistant to an autonomous reviewer capable of complex, multi-step reasoning.
ABB and NVIDIA Forge Industrial AI Alliance, Promising 40% Cost Reduction in Robotic Deployment
ABB Robotics and NVIDIA have announced a landmark partnership integrating NVIDIA Omniverse libraries into ABB's RobotStudio platform. The collaboration aims to bridge the sim-to-real gap in industrial robotics, promising deployment cost reductions of up to 40% and 50% faster time-to-market through physically accurate AI simulation.
Google's Bayesian Breakthrough: Teaching AI to Think with Uncertainty
Google researchers have developed a new training method that teaches large language models to reason probabilistically, addressing a fundamental weakness in current AI systems. This 'Bayesian upgrade' enables models to update beliefs with new evidence rather than relying on static training data.
Karpathy's Autoresearch: Democratizing AI Experimentation with Minimalist Agentic Tools
Andrej Karpathy releases 'autoresearch,' a 630-line Python tool enabling AI agents to autonomously conduct machine learning experiments on single GPUs. This minimalist framework transforms how researchers approach iterative ML optimization.
Google's TensorFlow 2.21 Revolutionizes Edge AI with Unified LiteRT Framework
Google has launched TensorFlow 2.21, marking LiteRT's transition to a production-ready universal on-device inference framework. This major update delivers faster GPU performance, new NPU acceleration, and seamless PyTorch edge deployment, effectively replacing TensorFlow Lite for mobile and edge applications.
Google Launches Android Bench: The First Specialized Benchmark for AI-Powered Mobile Development
Google has released Android Bench, an open-source evaluation framework and leaderboard specifically designed to assess how well large language models perform Android development tasks. This specialized benchmark addresses gaps in general coding evaluations by focusing on mobile-specific challenges.
OpenAI's Symphony: The Open-Source Framework That Could Automate Software Development
OpenAI has released Symphony, an open-source framework for orchestrating autonomous AI coding agents through structured 'implementation runs.' Built on Elixir and BEAM, it connects issue trackers to LLM-based agents to automate software development tasks at scale.