Learn how #NVIDIANIM on Oracle Cloud Infrastructure (OCI) enables enterprises to deploy generative #AI models efficiently and securely with optimal performance. ▶️ Watch Now: nvda.ws/4cHMVDV

In the latest round of #MLPerf industry benchmarks, the first submission of NVIDIA Blackwell delivered up to 4X more performance on #Llama 2 70B, while the NVIDIA H200 Tensor Core GPU continued to deliver outstanding results across every data center test. nvda.ws/4g4PliL

🌍 Could #LLMs make critical infrastructure like renewable energy and healthcare more efficient and sustainable? A new framework from Massachusetts Institute of Technology (MIT) converts time-series data into text for #AI-driven anomaly detection in complex systems. ➡️ nvda.ws/3yLbd25

Find out how #generativeAI is transforming customer experience, network operations, and more from key software providers and system integrators in the telecom industry. Download the ebook. nvda.ws/46Zu1XT

What's AI model fine-tuning? Discover how you can unlock the full potential of your AI models with fine-tuning and AI training on NVIDIA RTX-powered AI workstations. #AI #workstations Learn More ➡️ nvda.ws/3AzCsNw

🌟 Calling all researchers: #NVIDIAAcademicGrant Program is now accepting proposals on Generative AI & LLMs, and Simulation & Modeling. 📆 Submit by September 30 ➡️ nvda.ws/4e5y5It for a chance to advance your research with computing resources. 🚀 💡

Learn how you can use #generativeAI tools to efficiently create market scenarios for risk management, strategy backtesting, portfolio optimization, and regulatory compliance in #financialservices. Tech blog ➡️ nvda.ws/3XeVstr ✨🏦

Announcing the generative virtual screening for drug discovery NIM Agent Blueprint, a paradigm shift to the #drugdiscovery process to help researchers identify and develop drug candidates faster and with fewer steps. #NIM #GenerativeAI. nvda.ws/4dKAmc9

📢Just announced: NVIDIA NIM Agent Blueprints to streamline #generativeAI development. These new reference applications include partner microservices, one or more AI agents, reference code, customization documentation and Helm charts. Get started: nvda.ws/3XjyRfs

Developers can now accurately extract the knowledge contained in massive volumes of enterprise data, including content-rich PDFs, with the multimodal PDF data extraction NIM Agent Blueprint. Learn how to use these blueprints ➡️ nvda.ws/4d8x69H #RAG

📝 Learn to build an efficient recommender system using RAPIDS cuDF, which handles large datasets with a GPU DataFrame library for faster processing. ➡️ nvda.ws/3X4Vu5W 🌟 See this technical guide on creating co-visitation matrices, crucial for predicting user preferences

To give the best care, cancer researchers at the Wellcome Sanger Institute are using #acceleratedcomputing solutions. Learn more about how NVIDIA technologies are making it possible to reduce analysis runtime and energy consumption. nvda.ws/3MdkHpV #healthcare #Parabricks

Honored to announce that our CEO Jensen Huang will receive the Charles F. Jenkins Lifetime Achievement Award at the 76th #Emmy Awards for his impact on TV and pioneering work in accelerated computing and #AI. nvda.ws/4dQwvdP

🙌 Experts share best practices and tips for deploying and optimizing your #LLM projects. Learn how to understand key metrics for LLM #inference sizing with this technical session available at NVIDIA On-Demand. 📺 Watch now ➡️ nvda.ws/3ZahmQ5 ✨

In collaboration with Tribe, the Ignition AI Accelerator is designed to support high-potential, growth-stage #AI startups from around the globe. Apply now: nvda.ws/4gkHKg3

👀 NEW feature: RAPIDS AI cuDF supports up to 2.1B rows of text data. ⚡ Watch #pandas code with large strings get GPU-accelerated up to 30x with zero code changes. Try the notebook ➡️ nvda.ws/4gsPInJ #DataScience, #Python, #RAPIDS

GeForce RTX GPUs power best-in-class AI PCs for advanced #AI in gaming, content creation and more. Get a sneak peek ahead of @ifa_berlin kicking off in this #AIDecoded blog. nvda.ws/3TkyIFZ

Achieve up to 1.9x higher #Llama 3.1 performance with Medusa on #NVIDIAHGX H200 systems with NVLink Switch. Learn more now: nvda.ws/3XhfP83 #DataCenter #GenerativeAI

NVIDIA NIM optimizes #generativeAI in #RAG applications, streamlining #LLM integration and management, and enhancing #AI-generated responses through NVIDIA reranking #NIM microservice models. Check out the technical blog for details. nvda.ws/4dLrwev

🙌 Develop innovative #LLM applications and grow your expertise through resources tailored for developers at all skill levels. 👀 Join our developer community and participate in our latest NVIDIA and @Llama_Index #DevContest ✅nvda.ws/4dRj4du✨