Infrastructure

Throughout this past fiscal year, customers across every industry and segment moved from AI experimentation to deploying AI for real-world business outcomes. They unlocked innovation and created new opportunities for growth. We saw the emergence of Frontier Firms as they moved beyond efficiency gains to focus on human ambition and embed AI at the core...

Why security needs a new cyber stack — Introducing Project Perception The physics of cybersecurity are changing. Autonomous systems can now reason, adapt and operate continuously. At the same time, the cost of offense is falling, while the volume, velocity and complexity of what must be secured continues to grow. Attackers can generate exploits faster,...

Today, we’re excited to share a long-term commitment to the Department of Energy’s (DOE) Genesis Mission, backed by a $60 million investment designed to accelerate AI for science and the breakthroughs it can deliver for the country. This deepened commitment includes Microsoft’s new Scientific Partnership Advancing Research & Knowledge coordination hub and program office, otherwise...

AI workloads are scaling faster than any single infrastructure approach can support — with more models, new agent-driven workloads and surging compute demand driving the need for greater specialization across the stack. To meet this need, Microsoft continues to evolve Azure’s infrastructure, including expanding its AI fleet with AMD’s most advanced AI and high-performance computing...

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 […]

Amy Coleman, EVP and Chief People Officer, shared the following communication with employees today. When I stepped into this role, I promised to communicate more openly with you and share the “why” behind our decisions. Today we are eliminating around 4,800 roles, about 2.1% of our global workforce, as we focus our people, investments, and...

The pace of AI adoption is moving incredibly fast. Customers have moved well beyond experimentation and understand the importance of adopting AI to transform their business. They are now concentrating on delivering measurable business outcomes and demonstrating a return on their AI investments, while ensuring their intelligence is amplified and their IP is protected. Today...

Microsoft on advancing water stewardship in datacenters, while scaling AI and progressing toward a 2030 water positive goal.

Cloud operations are entering a new era as AI-driven and autonomous agents become a larger part of modern software systems. As software becomes increasingly agentic, the challenge is no longer just managing greater scale and complexity. Operators must also contend with systems that evolve faster, act more autonomously and interact across an expanding network of...

Today, Microsoft is announcing one of the largest single capacity additions in our history. In Pecos, Texas, we will build a new datacenter campus, expanding our global datacenter capacity by approximately 2 gigawatts (GW) to meet strong and sustained customer demand for AI and cloud services across industries and regions. Beyond the technology, this is...

The two most important elements in any AI solution are Intelligence + Trust. I first made this statement in November at our Ignite conference and my conviction is strengthened by every conversation I have with customers. Through my travels, three consistent topics are being raised when considering the adoption of AI solutions: Will AI amplify...

Become an AI-first enterprise with Microsoft’s agent platform.

Platforms shift when developers build. We explore, choose tools, dream, create. This platform shift comes with more information than ever, ready at your fingertips. This shift, it’s about building fast AND THEN: it’s about building, operating, optimizing and observing. Securing your infrastructure, applications and agents in a seamless way that doesn’t slow you down from...

As the pace of change accelerates, organizations are moving quickly from AI experimentation to enterprise-scale transformation. Leaders are prioritizing measurable outcomes, faster time to value and repeatability across the business. But many are encountering the same reality: the challenge is no longer deciding whether to invest in AI — it’s scaling adoption and delivering consistent,...

Updated May 11, 2026: The post was updated to reflect that third-party plugins will be available starting May 12, 2026. Spend time with any software engineering team right now and you’ll see something worth paying attention to. Over the last few years, the way software gets built has moved through four distinct patterns of human-agent...

As our customers progress toward becoming Frontier Firms, they are using AI not only to optimize how work gets done, but to reinvent their business on the promise of growth. Organizations can now unlock creativity, accelerate innovation and democratize intelligence by bringing Copilots and agents directly into the tools people love and use every day....

NVIDIA founder and CEO Jensen Huang opened CES in Las Vegas with Rubin — NVIDIA’s first extreme-codesigned AI platform — plus open models for healthcare, robotics and autonomy, and a Mercedes-Benz CLA showcasing AI-defined driving.

Unveiling what it describes as the most capable model series yet for professional knowledge work, OpenAI launched GPT-5.2 in December. The model was trained and deployed on NVIDIA infrastructure, including NVIDIA Hopper and GB200 NVL72 systems. GPT-5.3 Codex — the first OpenAI agentic coding model to help build itself — was released in February and […]

Trained on the Isambard-AI supercomputer, UK-LLM enables AI reasoning for Welsh and other UK languages for public services.

For more than a century, meteorologists have chased storms with chalkboards, equations, and now, supercomputers. But for all the progress, they still stumble over one deceptively simple ingredient: water vapor. Humidity is the invisible fuel for thunderstorms, flash floods, and hurricanes. It’s the difference between a passing sprinkle and a summer downpour that sends you […]

The NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The application deadline for the 2026-2027 academic year is Monday, Sept. 15, 2025.

AI and graphics research breakthroughs in neural rendering, 3D generation and world simulation power robotics, autonomous vehicles and content creation.

The University of Bristol’s Isambard-AI, powered by NVIDIA Grace Hopper Superchips, delivers 21 exaflops of AI performance, making it the fastest system in the U.K. and among the most energy-efficient globally.

The world of ancient ceramics has relied on expert eyes for millennia; at University Putra Malaysia and UNSW Sydney, a new AI, running on standard gaming hardware, is changing how people determine their value and provenance.

In Paris, Jensen Huang laid out how the continent is scaling up with Blackwell-powered factories, agentic AI and sovereign clouds — all part of Europe’s new intelligence infrastructure.

NVIDIA today released NVIDIA Cosmos Predict-2 — a new world foundation model with improved future world state prediction capabilities for high-quality synthetic data generation.

Over nearly two decades, the work of NVIDIA research has fueled iconic products including NVIDIA DLSS, NVLink and Cosmos.

The Signs platform is creating a validated dataset for sign language learners and developers of ASL-based AI applications.

Evo 2, a powerful biomolecular AI model, provides insights into DNA, RNA and proteins across diverse species.

Foundation models are AI neural networks trained on massive unlabeled datasets to handle a wide variety of jobs from translating text to analyzing medical images.

AI-driven medicine could deliver life-saving snakebite treatments to the world’s most vulnerable.

Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.

Using NVIDIA GPUs, the researchers trained a deep learning model to analyze years of Cassini data in seconds.

Healthcare leaders joined Jensen Huang at the J.P. Morgan Healthcare Conference to discuss how AI is transforming biomedical research, clinical trials and pathology.