🌍 Ready to validate your AI skills? Join NVIDIA Training’s global webinar to prepare for the Generative AI Certification exams. In this session: ✅ Get insider tips to pick the right certification for your career ✅ Explore brand-new Professional-level certifications ✅ Hear live exam prep and sample practice questions ✅ Get expert advice live during Q&A Plus: Exclusive promo code for attendees 📅 Oct 7, 2025 | Multiple global time zones available 📌 Register today to secure your spot! https://nvda.ws/46JvH88 #NVIDIATraining
About us
Explore the latest breakthroughs made possible with AI. From deep learning model training and large-scale inference to enhancing operational efficiencies and customer experience, discover how AI is driving innovation and redefining the way organizations operate across industries.
- Website
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http://nvda.ws/2nfcPK3
External link for NVIDIA AI
- Industry
- Computer Hardware Manufacturing
- Company size
- 10,001+ employees
- Headquarters
- Santa Clara, CA
Updates
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🔬 AI is accelerating discovery across science. From drug design to climate modeling to space exploration, breakthroughs once thought decades away are now within reach. Join in-person sessions to see how AI is: 💊 Reshaping drug discovery and healthcare 🌍 Advancing climate and energy research 🚀 Powering new frontiers in space and digital twins 🔗 View all AI for Science sessions: https://nvda.ws/48a2vts 📅 October 27–29 📍 #NVIDIAGTC DC
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NVIDIA AI reposted this
👩🏫 Experience AI superpowers at your desk. Researchers, faculty, and students can unleash personal AI supercomputing for innovative projects, creative experiments, and faster discoveries, with NVIDIA DGX Spark. Learn more to #SparkSomethingBig ➡️ https://nvda.ws/4mDmCDH
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💡 How are AI agents transforming the financial services industry? They are: 📈 Analyzing market data for smarter investment strategies 🏦 Enhancing customer experiences and reducing costs in banking 🛡️ Monitoring transaction patterns in real time to combat fraud 🔗 Learn more: https://nvda.ws/4nvo1NR
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SGLang (sgl-project) is an open source project focused on making large language model inference faster and more efficient, with continuous improvements that quickly translate into real-world speedups. Behind these efforts are dedicated engineers ensuring the code evolves to meet the needs of both researchers and developers. In this Q&A, Trevor Morris, Senior Deep Learning Software Engineer at NVIDIA and committer for SGLang, discusses his role as an SGLang committer at NVIDIA, recent performance optimizations, and how these contributions are helping to strengthen the open source ecosystem around LLMs 👇
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NVIDIA AI reposted this
⚡Faster models mean smarter AI. ⚡ With Nemotron's open-source technologies, we're enabling organizations to create AI agents that get more done in less time. Big or small, we are committed to helping companies all around the world build & deploy AI for their own needs. See how: https://nvda.ws/4gFO2Yo
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AI is rewriting the rules of wireless. Join our Telecom SVP Ronnie Vasishta at #NVIDIAGTC Washington, D.C. as he shares the first 6G milestones achieved on NVIDIA platforms and how AI is transforming every layer of next-gen networks. 🗓️ Wednesday Oct 29 | 9 AM - 9:40 AM EDT 🔗 Register now: https://nvda.ws/46oSY0o
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We’re thrilled to be collaborating with UiPath to bring trusted automation to sensitive workflows. 🤝 Together, we’re combining UiPath expertise with NVIDIA NIM microservices and open Nemotron models for secure, enterprise-grade AI adoption.
We joined forces with NVIDIA to help enterprises run AI where trust is non-negotiable. 🤝🛡 Sensitive workflows like fraud detection and patient care management are now powered by #AgenticAutomation. http://spr.ly/6047A9ehX #UiPathFUSION
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🎊 Congratulations to ServiceNow AI Research on introducing Apriel-1.5-15B-Thinker — their 15B-parameter model that matches DeepSeek-R1-0528, Mistral-medium-1.2 and Gemini Flash 2.5 on the Artificial Analysis Index (AAI 52) — delivering comparable results at fraction of the size (at least 8-10 times smaller). ~25% of Apriel-v1.5's pre-training text data for depth up-scaling comes from the NVIDIA Nemotron collection. Apriel-1.5-15B-Thinker delivers: ⚡ Frontier-level reasoning on a single GPU 📦 Open weights for immediate, hands-on evaluation 🧠 No RL phase — the step-change comes from mid-training 🧩 Great at reasoning — AIME2025: 88, GPQA: 71, LCB: 73 ✅ Follows instructions reliably — IFBench: 62 📡 Tau2 Bench (Telecom): 68 → ready for real-world workflows Get started: 💬 Chat demo: https://lnkd.in/eC_vx8zr 🧠 Model weights: https://lnkd.in/exmZC4J6 📄 Technical report: https://lnkd.in/gY-XUFvi
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Got questions about Nemotron? Want to give direct feedback to the team behind the models? This is your chance to get hands-on support, ask questions, and explore the Nemotron models with the experts who built them. RSVP to join the office hours and drop your questions in our Discord channel or in the comments and replies.
Nemotron Labs Office Hours
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