NVIDIA AI
@NVIDIAAI
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The latest breakthroughs and the future of AI for business leaders.
Santa Clara, CA
Joined June 2016
Watch Jensen Huang unveil the latest breakthroughs in AI, robotics, accelerated computing, and more in the #GTC25 keynote. Now live ⬇️ https://t.co/AfO8VAVdiv
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🚨 New on the NVIDIA AI Podcast: 🧬Chris Dallago (research lead at NVIDIA) and Martin Steinegger (co-author of AlphaFold paper) share how AI is accelerating protein folding breakthroughs, unlocking faster drug discovery and precision medicine. 🎧 Listen now:
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💳 How is Generative + Agentic AI reshaping financial services? Featuring: Prem Natarajan, EVP, Chief Scientist, and Head of AI at @CapitalOne On the NVIDIA AI Podcast, he shares how his team is building AI-powered systems to: ⚡ Reduce cognitive burden for customers +
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NVIDIA Rubin CPX introduces a new class of GPU built for million-token inference, enabling companies to unlock up to $5B in token revenue for every $100M invested. 💵
Some of today’s most advanced AI workloads, like code and video generation, demand context processing at unprecedented scale, often exceeding one million tokens. This is why NVIDIA is launching Rubin CPX: a GPU purpose‑built for the compute‑intensive context phase of inference.
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Your chance to experience GTC like a VIP 🎫 Enter to win a Golden Ticket to #NVIDIAGTC in Washington, D.C.: ✅ Full-conference pass ✅ Priority seating at Jensen’s keynote ✅ Complimentary DLI course … and more. How to enter: 1️⃣ Share an OSS project you’re building with
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It's live!✨ We're super excited Nemotron Nano 9B v2 is now on @OpenRouterAI.💚
Welcome to OpenRouter, @NVIDIA 💚 First model is Nemotron Nano 9B: - Free 🎁 - 128k context - Pre-trained from scratch, with reasoning - ZDR-enabled:
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🚀 @Baseten, Google Cloud, and @nvidia are making it possible to move powerful AI models from development to production affordably. This means more real-time voice AI, agentic workflows, and other cutting-edge applications. Find out how → https://t.co/mSDTSXcIiE
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📈 @basetenco users are scaling smarter with us: ✅ 5× throughput on high-traffic endpoints ✅ 50% lower cost per token ✅ Up to 38% lower latency on the largest LLMs Built on NVIDIA Blackwell + TensorRT-LLM + Dynamo on @googlecloud—driving efficiency, speed & adoption at scale.
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🤖 Are your teams as efficient as they could be with AI? From accelerating software development to streamlining industrial operations, agentic AI is redefining productivity. 📊 Discover six ways AI agents boost team performance and practical tips for measuring ROI. 👉 Learn
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🚨 New on the NVIDIA AI Podcast: 🩺 @MoonSurg’s CEO Anne Osdoit shows how the Maestro platform is empowering surgeons with AI + robotics — improving control, efficiency, and patient care. 🎧 Listen now: https://t.co/HVdzDur1Cu
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The new law for the AI era: spend more to make more. @SiliconANGLE unpacks “Jensen’s Law” and the economics of the 10X ROI from #NVIDIABlackwell-based AI factories.
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Building and deploying effective AI solutions at scale comes down to 3 things: ⚡ latency, 📈 scalability, and 🌱 energy efficiency. Balancing them means smoother deployments, lower costs, and faster innovation.
BUILDING EFFECTIVE AI: 3 MAIN PILLARS Building effective AI products comes down to 3 key pillars: latency (response speed), scalability (serving many users), and energy efficiency (minimizing power use per query). Hardware upgrades—such as high-speed networking and
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💰 52% of financial firms now use Gen AI, transforming finance beyond just cost savings. According to our State of AI in Financial Services: 2025 Trends report, Gen AI is powering: ⚡ Fraud detection 🤝 Personalized experiences 📊 Efficient underwriting Read the full report:
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📈 From infrastructure to inference, @Amway is using NVIDIA AI Enterprise to deploy AI at scale across its global business. Key results: ⚡ 40% increase in inference efficiency ⏱️ Deployment time cut by more than half 🔒 99.9% of sensitive data blocked with NVIDIA NeMo
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👀 Curious about what's next in AI infrastructure? Join Ian Buck, VP of Hyperscale and HPC at NVIDIA, in a keynote at #AIInfraSummit on advanced reasoning models, AI inference, and networking scale-up and scale-out. 📅 Tuesday, September 9 🕙 10 a.m. PT 📍 Santa Clara, CA 🔗
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How do you teach an AI model to reason? 🤔 We are developing a set of tests that coach AI models to understand the physical world and apply common sense. These tests are used to develop reasoning models such as NVIDIA Cosmos Reason which just topped the physical reasoning
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@amperity From customer support to analytics to marketing, agentic AI is transforming how enterprises operate. ✅ Faster decisions ✅ Smarter customer engagement ✅ More innovation 🎧 Listen to the latest NVIDIA AI Podcast episode:
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NVIDIA AI Podcast · Episode
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