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The More You Buy, the More You Make

How NVIDIA’s AI factory platform balances maximum performance and minimum latency, optimizing AI inference to power the next industrial revolution.

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Accelerating Text-to-SQL Inference on Vanna with NVIDIA NIM for Faster Analytics

Illustration of text-to-SQL Inference.Slow and inefficient query generation from natural language inputs bottlenecks decision-making. This forces analysts and business users to rely heavily on data…Illustration of text-to-SQL Inference.

Slow and inefficient query generation from natural language inputs bottlenecks decision-making. This forces analysts and business users to rely heavily on data teams, delaying insights and limiting agility. Text-to-SQL is shifting how we interact with data, enabling users to query structured databases in natural language. This is especially useful when deploying a domain-specific model for…

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NVIDIA Announces Upcoming Events for Financial Community

SANTA CLARA, Calif., May 29, 2025 (GLOBE NEWSWIRE) — NVIDIA will present at the following events for the financial community: BofA Securities 2025 Global Technology ConferenceWednesday, June …

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The Supercomputer Designed to Accelerate Nobel-Worthy Science

Ready for a front-row seat to the next scientific revolution? That’s the idea behind Doudna — a groundbreaking supercomputer being built at Lawrence Berkeley National Laboratory. The system represents a major national investment in advancing U.S. high-performance computing leadership, ensuring U.S. researchers have access to cutting-edge tools to address global challenges. Also known as NERSC-10,
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RAPIDS Brings Zero-Code-Change Acceleration, IO Performance Gains, and Out-of-Core XGBoost

An illustration for RAPIDS.Over the past two releases, RAPIDS introduced zero-code-change acceleration for Python machine learning, huge IO performance improvements, larger-than-memory…An illustration for RAPIDS.

Over the past two releases, RAPIDS introduced zero-code-change acceleration for Python machine learning, huge IO performance improvements, larger-than-memory XGBoost training, improved user experiences, and even more scalable ETL. We spotlighted some of these updates and announcements at NVIDIA GTC 25. In this post, you can catch up on some of the highlights. Announced as open beta…

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Run LLMs on AnythingLLM Faster With NVIDIA RTX AI PCs

Large language models (LLMs), trained on datasets with billions of tokens, can generate high-quality content. They’re the backbone for many of the most popular AI applications, including chatbots, assistants, code generators and much more. One of today’s most accessible ways to work with LLMs is with AnythingLLM, a desktop app built for enthusiasts who want
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RTX on Deck: The GeForce NOW Native App for Steam Deck Is Here

GeForce NOW is supercharging Valve’s Steam Deck with a new native app — delivering the high-quality GeForce RTX-powered gameplay members are used to on a portable handheld device. It’s perfect to pair with the six new games available this week, including Tokyo Xtreme Racing from Japanese game developer Genki. Stream Deck At the CES trade
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NVIDIA Announces Financial Results for First Quarter Fiscal 2026

NVIDIA (NASDAQ: NVDA) today reported revenue for the first quarter ended April 27, 2025, of $44.1 billion, up 12% from the previous quarter and up 69% from a year ago.

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Spotlight: Build Scalable and Observable AI Ready for Production with Iguazio’s MLRun and NVIDIA NIM

Decorative AI image.The collaboration between Iguazio (acquired by McKinsey) and NVIDIA empowers organizations to build production-grade AI solutions that are not only…Decorative AI image.

The collaboration between Iguazio (acquired by McKinsey) and NVIDIA empowers organizations to build production-grade AI solutions that are not only high-performing and scalable but also agile and ready for real-world deployment. NVIDIA NIM microservices, critical to these capabilities, are designed to speed up generative AI deployment on any cloud or data center. Supporting a wide range of AI…

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NVIDIA’s Bartley Richardson on How Teams of AI Agents Provide Next-Level Automation

Building effective agentic AI systems requires rethinking how technology interacts and delivers value across organizations. Bartley Richardson, senior director of engineering and AI infrastructure at NVIDIA, joined the NVIDIA AI Podcast to discuss how enterprises can successfully deploy agentic AI systems. “When I talk with people about agents and agentic AI, what I really want
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