✨ When you hold the GB10, you’re holding the future of accelerated computing. And judging by this student's reactions… the future couldn’t be brighter. #SparkSomethingBig
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
-
http://nvda.ws/2nfcPK3
External link for NVIDIA AI
- Industry
- Computer Hardware Manufacturing
- Company size
- 10,001+ employees
- Headquarters
- Santa Clara, CA
Updates
-
From research labs to classrooms, AI is advancing discovery, education, and innovation. Dive into sessions focused on workforce training and national initiatives at #NVIDIAGTC in Washington, D.C. https://lnkd.in/gk27ENb2
-
-
NVIDIA AI reposted this
We’ve entered a new era with frontier AI capabilities at scale. Practicality unlocks transformation for more enterprises and communities than ever before. Grateful to Jensen Huang and NVIDIA AI for the visionary partnership powering the future of AI 🚀🤝
🎊 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
-
-
Got questions about deploying fast, efficient AI agents? Skip the formal presentations and join us for an informal "Office Hours" session with expert builder Matt Shumer. This is your direct line to an expert who is actively pushing NVIDIA Nemotron Nano to its limits in agentic applications. We'll be focusing entirely on your questions about: Inference Time Scaling: How do you leverage Nemotron Nano to achieve maximum throughput and superior performance without the huge compute cost? Real-World Agent Efficiency: What are the trade-offs, and what deployment secrets does Matt use to keep his agents running quickly and accurately? Come ready to chat, drop your questions in the comments, and get practical, actionable advice from someone who builds with these models every day.
Ask the Experts: Nemotron Nano, Tool Calling, and Agent Efficiency
www.linkedin.com
-
In this inaugural episode of our CAE Livestream series, we explore the monumental shift happening in engineering and design. Join NVIDIAs Distinguished Engineer Neil Ashton as he lays out the vision for a new era of CAE, one powered by accelerated computing, AI Physics, industrial digital twins and Agentic AI. This session will set the stage for the series, explaining why these changes are critical and how NVIDIA is building the platform for the next generation of engineering innovation.
A new era of industrial engineering with NVIDIA - Episode 1
www.linkedin.com
-
NVIDIA AI reposted this
How are leading semiconductor design experts reshaping electronic design automation? 👀 Join this #NVIDIAGTC Washington, D.C. panel with Cadence, Synopsys Inc, Siemens EDA (Siemens Digital Industries Software), and NVIDIA to explore how accelerated computing and AI are transforming chip design workflows. 📆 Add to calendar: https://nvda.ws/48Lg7eH 🎤 Timothy Costa, Bonita Bhaskaran, Paul Cunningham, Mike Ellow, Shankar Krishnamoorthy
-
Hear from Aurimas Griciunas, founder of Swirl AI, as he shares his experience with NVIDIA Training and Certification and how it has sharpened his skills across a range of topics, including generative AI, large language models, multimodal AI, and accelerated data science ➡️ https://nvda.ws/4pUAJY8 Take your skills to the next level, stay ahead of the curve, and discover the full breadth of NVIDIA Certifications. 📈
Meet NVIDIA Learning customer: Aurimas Griciunas, Swirl AI
https://www.youtube.com/
-
vLLM has quickly become a go-to open source engine for efficient large language model inference, balancing performance with a strong developer experience. At NVIDIA, direct contributions to projects like vLLM reflect a commitment to advancing open source AI infrastructure for everyone. In this Q&A, Benjamin Chislett Senior Systems Software Engineer at NVIDIA and Committer for vLLM, shares his perspective on shaping the project’s future, his work on speculative decoding, and why open source collaboration matters for AI at scale 👇
-
🌐 🤖 Our Isaac Lab is the successor to Isaac Gym, now with photorealistic RTX visuals, advanced sensor models, Newton engine integration, and more to scale sim-to-real robot learning. #NVIDIAResearch Read more about Isaac Lab ➡️ https://lnkd.in/gCVDuWgJ
-