How to move from Apache Airflow® to Databricks Lakeflow Jobs
In the previous post, From Apache Airflow® to Lakeflow: Data-First Orchestration,...
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From Simulation to Production: How to Build Robots With AI
The latest open models and frameworks from NVIDIA bring together simulation, robot learning and embedded compute to accelerate cloud-to-robot workflows.
How ClickStack makes ClickHouse faster for observability
ClickHouse is fast by design, but raw database speed isn't enough. This post explores how ClickStack tightly integrates with ClickHouse to generate optimized queries — from progressive time window...
Introducing AI observability notebooks for Managed ClickStack in Private Preview
AI-native observability notebooks for Managed ClickStack let engineers investigate logs, metrics, and traces with AI as a collaborator — keeping humans in control at every step.
Project SnowWork: The easiest way for business users to get work done
Today, we are announcing Project SnowWork (Research Preview), a new autonomous AI platform for business leaders and knowledge workers across finance, sales, marketing, operations and more designed to...
Powering the Era of the Agentic Enterprise
Discover how Snowflake powers the Agentic Enterprise with a control plane that connects AI, data, and enterprise systems to drive intelligent action.
SOTA Embedding Model for Agentic Workflows Now in Public Preview
Retrieval underpins modern AI systems, and the quality of the embedding model determines...
Ranking Engineer Agent (REA): The Autonomous AI Agent Accelerating Meta’s Ads Ranking Innovation
Meta’s Ranking Engineer Agent (REA) autonomously executes key steps across the end-to-end machine learning (ML) lifecycle for ads ranking models. This post covers REA’s ML experimentation...
More Than Meets the Eye: NVIDIA RTX-Accelerated Computers Now Connect Directly to Apple Vision Pro
NVIDIA and Apple’s collaboration brings native integration of NVIDIA CloudXR 6.0 to visionOS, securely delivering NVIDIA RTX-powered simulators and professional 3D graphics applications — like...
NVIDIA, Telecom Leaders Build AI Grids to Optimize Inference on Distributed Networks
As AI‑native applications scale to more users, agents and devices, the telecommunications network is becoming the next frontier for distributing AI. At NVIDIA GTC 2026, leading operators in the U.S....
Intelligence and Interoperability: Data Catalog Must-Haves for AI Data Governance
Discover why a universal AI catalog with a semantic layer and interoperability is essential for scalable AI data governance across your data estate.
Measuring progress toward AGI: A cognitive framework
We’re introducing a framework to measure progress toward AGI, and launching a Kaggle hackathon to build the relevant evaluations.
Introducing multi-cluster GKE Inference Gateway: Scale AI workloads around the world
The world of artificial intelligence is moving fast, and so is the need to serve models reliably and at scale. Today, we're thrilled to announce the preview of multi-cluster GKE Inference Gateway to...
AWS AI League: Atos fine-tunes approach to AI education
In this post, we’ll explore how Atos used the AWS AI League to help accelerate AI education across 400+ participants, highlight the tangible benefits of gamified, experiential learning, and share...
Uncovering Data Science: Skills, Careers and Education
What is Data Science?Data science is an interdisciplinary field that combines mathematics,...
GTC Spotlights NVIDIA RTX PCs and DGX Sparks Running Latest Open Models and AI Agents Locally
The paradigm of consumer computing has revolved around the concept of a personal device — from PCs to smartphones and tablets. Now, generative AI — particularly OpenClaw — has introduced a new...
Snap Decisions: How Open Libraries for Accelerated Data Processing Boost A/B Testing for Snapchat
The features on social media apps like Snapchat evolve nearly as fast as what’s trending. To keep pace, its parent company Snap has adopted open data processing libraries from NVIDIA on Google Cloud...