👀 New scaled advanced analytics experiments with RAPIDS and Ray. Tech blog ➡️ https://nvda.ws/3PniMkc #DataScience
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Preventing disease. Building smart cities. Revolutionizing analytics. These are just a few things happening today where AI initiatives are creating real results for businesses.
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http://nvda.ws/2nfcPK3
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NVIDIA AI reposted this
Join us at #CES2025 and enter our #ExploreToWin sweepstakes for a chance to win big. Prizes include a Jensen Huang-signed GeForce RTX GPU, NVIDIA Orin Nano Super Developer Kit, and more. To enter: ✳️Follow the green to explore NVIDIA solutions ✳️Scan the QR code ➡️ Learn more: https://nvda.ws/49WCtbI
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NVIDIA AI reposted this
🚨First hackathon of 2025?🚨 Last month NVIDIA AI, Vercel and Founders, Inc. threw the worlds shortest hackathon We were stunned with what was built in 2 hours…so we’re doing it again! January 16th! 5pm! Hosted at the NASDAQ in SF 🤙 You won’t wanna miss round 2. Apply below, link in the comments👇
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Trustworthy AI development prioritizes safety and transparency for partners, customers, and developers. To advance state-of-the-art capability across use cases and the larger ecosystem, we are making model card templates available. ➡️ https://lnkd.in/g8ahqJXd Adopt our #opensource #AI model cards for your use.
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Deep dive into how RAG-based LLM solutions are transforming the AEC industry by providing intelligent workplace assistants. 🏗️ ➡️ https://lnkd.in/gVBWHbpM Integrating RAG with operational data can significantly enhance the potential of generative AI.
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NVIDIA AI reposted this
CEO @Tigon Advisory Corp. | Host of CXO Spice | Board Director |Top 50 Women in Tech | AI, Cybersecurity, FinTech, Insurance, Industry40, Growth Acceleration
Ready for the #AI revolution in the #workplace? Imagine having a super-smart, tireless teammate who's always ready to help—that's what AI agents are becoming! In the latest #CXOSpice conversation with Bartley Richardson, CTO of Agentic AI at NVIDIA, we explored how Agentic AI is transforming enterprise work. Here are some of the key insights: ✅ AI Agents as Digital Coworkers ✅ Revolutionizing Information Retrieval ✅ Turning Data into Actionable Knowledge ✅ Streamlining Complex Workflows "It's going to make you the human as mere mortals. It's going to make me an engineer, my own CEO." – Bartley Richardson Are you ready for AI to become your new digital coworker? Watch the full conversation to dive deeper into the world of Agentic AI! https://lnkd.in/gjdispca And stay tuned for Jensen Huang's keynote at #CES2025 on Jan 6 for more groundbreaking AI announcements! https://nvda.ws/49LS0Lq #AgenticAI #FutureOfWork #NVIDIA #CIOs #CTOs Stay connected with the latest on #technology and #innovation by subscribing to the #CXOSpice newsletter (https://lnkd.in/gy2RJ9xg) or the #CXOSpice YouTube channel (https://lnkd.in/gnMc-Vpj). Tune in for the upcoming episode on AI and iPaaS.
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NVIDIA AI reposted this
The Python Polars package has had a lot of hype since its release. To add to the hype, Polars now has NVIDIA GPU acceleration on up to 250GB on a single GPU. Previously, accelerated computing to Polars workloads had to fit into GPU memory. Processing datasets with the Polars GPU engine could lead to GPU out-of-memory (OOM) errors as data sizes increased. Now Polars can utilize lazy execution with the GPU engine powered by RAPIDS cuDF that accelerates Polars workflows up to 13x on NVIDIA GPUs and works with data larger than your GPU memory. (allowing data scientists to process hundreds of millions of rows of data in seconds on a single machine) The best part is the Polars GPU engine requires zero code changes to existing Polars code. So if you have already learned a bit of Polars you can easily leverage the GPU engine. And if you haven't tried Polars, it's easy to learn and now is a great time to start to take advantage of the GPU acceleration. I am excited to use Polars with GPU acceleration and revisit an old football fantasy sports data analysis side project that I kept getting stuck on when my pandas data manipulation would take over 24 hours to run. 😅 (more posts on that project to come, so give me a follow!) ----- To try out Polars with the GPU engine click the link to open this Google Colab https://lnkd.in/e2dwc6mF and some example code on GitHub https://lnkd.in/e7Muifaf ----- What "big" data are you working with that you want to try using Polars for? Let me know in the comments.
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NVIDIA AI reposted this
We’re delighted to welcome the Run:ai team to NVIDIA. Learn more about the new chapter for Run:ai in their blog post: https://nvda.ws/3DCpdNu
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NVIDIA AI reposted this
What is a product configurator? Learn how #OpenUSD and #generativeAI power product configurators to create photorealistic 3D #digitaltwins. ➡️ https://nvda.ws/3PbiPiP
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👀 Deep dive into #NVIDIAResearch's greatest advancements in #generativeAI in 2024.✨ 🎉 https://lnkd.in/geAjppkH
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