🎉We are excited to announce that the NVDashboard v0.10 is now available for use. ➡️ https://nvda.ws/4cz4mr6 ✨ Our RAPIDS team unveiled enhancements to NVDashboard, a JupyterLab dashboard designed for monitoring and optimizing GPU usage at #GTC24, and it is now available.
About us
Preventing disease. Building smart cities. Revolutionizing analytics. These are just a few things happening today where AI initiatives are creating real results for businesses.
- 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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👀 Preview ➡️ https://nvda.ws/4cSy4Xy ✨At #SIGGRAPH2024, #NVIDIAResearch will showcase advancements in #generativeAI and #simulation, showing how simulation research enhances AI models and how #AI models are advancing simulation technology.
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AutoMate by #NVIDIAResearch is a new framework that trains #robots in assembly skills for real-world use, combining reinforcement and imitation learning for effective skill transfer. ➡️ https://nvda.ws/4czXNEJ Read how you can make your robots more effective from sim to real. 🤖
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NVIDIA AI reposted this
Go beyond the booth and hear about the future of #AI with NVIDIA at #CiscoLive! Learn how to use the transformative power of AI and how to pave a clear roadmap for implementation. 🚀 Watch on demand here: http://ms.spr.ly/6049l8cu5
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Seamlessly create, deploy, and profile #LLM models including Llama 3, Falcon, and Mixtral with just 3 lines of code with the new #Triton #Inference Server Command Line Interface. On GitHub ➡️https://nvda.ws/3W0Xqf6
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Discover the latest breakthroughs in #generativeAI, digital twins, research, #OpenUSD, robotics, and more at #SIGGRAPH2024. Join us as we explore the intersection of #AI and graphics in the following NVIDIA fireside chats, special events, trainings, and exhibits: ✨ ❇️ Fireside chat with our NVIDIA CEO Jensen Huang and WIRED's Lauren Goode. Join us to explore how #generativeAI and accelerated computing are revolutionizing industries. 👉 https://nvda.ws/3Wgvs0l 📆July 29 at 2:30 p.m. MT in Denver, CO ❇️ #OpenUSD Day - discover how developers & industry leaders are adopting OpenUSD to build #AI-enabled 3D pipelines 👉 https://nvda.ws/3S2G00H 📅 Tuesday, July 30 ❇️ #GenerativeAI Day - featuring sessions covering latest #AI solutions in animation, visual effects. 👉https://nvda.ws/3S2G00H 📅 Wednesday, July 31 ❇️ Generative AI #Certification - Want to stand out in the field of #generativeAI? Register for #SIGGRAPH2024 and get 50% off NVIDIA's generative AI certifications. 👉 https://nvda.ws/3S5bXp7 ❇️ Training - Explore NVIDIA #Training Labs to develop skills in #AI, research, #OpenUSD, and more with our hands-on labs. Complimentary for Full Conference and Experience attendees. 👉 https://nvda.ws/3XY6JPu ❇️ Innovation Zone - Discover how #startups and our #NVIDIAInception partners are leveraging NVIDIA AI and computing technologies for innovations in computer graphics, visualization, and more. Plus - join us at NVIDIA for Startups. 👉 https://nvda.ws/3XZTWvX
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Lamini takes advantage of NVIDIA accelerated computing platform including #CUDA cores, Tensor Cores, CUDA-X Libraries and Nsight Tools to optimize their Memory Tuning algorithm. Read their blog: https://nvda.ws/3WlGSA8
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NVIDIA AI reposted this
Unlocking the Power of AI with NVIDIA NIM NVIDIA has raised the bar for deploying AI models at scale with NVIDIA NIM (NVIDIA Inference Microservices). Part of NVIDIA AI Enterprise, NIM provides a streamlined, scalable path for developing and deploying AI-powered enterprise applications. Here's what you need to know about NIM, its significance, and how to start using it. ✔What is NVIDIA NIM? NVIDIA NIM is a set of optimized cloud-native microservices designed to simplify deploying generative AI models anywhere—from the cloud to data centers and GPU-accelerated workstations. It abstracts away the complexities of AI model development, allowing developers to focus on innovation. 👉Why is NVIDIA NIM Significant? 1️⃣Deployment Flexibility: Deploy across various infrastructures, including NVIDIA DGX, DGX Cloud, Certified Systems, and RTX workstations, maintaining full control over data and operations. 2️⃣Optimized Performance: Leverage optimized inference engines for best latency and throughput on accelerated infrastructure, reducing operational costs and improving user experiences. 3️⃣Domain-Specific Models: Includes domain-specific CUDA libraries and specialized code for language, speech, video processing, healthcare, and more, ensuring applications are accurate and relevant. 4️⃣Enterprise-Grade AI: Built on an enterprise-grade base container, providing a robust foundation with rigorous validation, support, and security updates. 5️⃣Easy Integration: Industry-standard APIs allow integration into existing applications with minimal code changes, facilitating rapid deployment and scaling. ✨Applications of NVIDIA NIM Supports a wide range of AI models, including large language models (LLMs), vision language models (VLMs), and models for speech, images, video, 3D, drug discovery, and medical imaging. Ideal for building chatbots, AI assistants, and advanced analytics systems. Getting Started with NVIDIA NIM NVIDIA LaunchPad offers hands-on lab experience to get started with NVIDIA NIM. Here’s a step-by-step guide: 1️⃣Visit the NVIDIA API Catalog: Explore the API catalog to find AI models ready for deployment. 2️⃣Prototype Your Application: Use the GUI or API to prototype. NVIDIA provides free credits to test the latest generative AI models. 3️⃣Join the NVIDIA Developer Program: Gain free access to NIM for research, development, and testing (coming soon). 4️⃣Deploy NIM Microservices: Move from pilot to production and scale using Kubernetes. NVIDIA offers a free 90-day subscription to NVIDIA AI Enterprise so you can deploy NIM today. 5️⃣Utilize NVIDIA LaunchPad: Access ready-to-use infrastructure, hands-on labs, and expert assistance. Experience the Future of AI Deployment NVIDIA NIM provides everything needed to accelerate your AI journey. It simplifies deploying AI models at scale. Start building your AI applications today with NVIDIA. Get started with NVIDIA NIM: https://nvda.ws/44Syf2i NVIDIA AI #nvidiapartner
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#NVIDIAInception member HOMEE AI offers an AI-powered platform that revolutionizes spatial planning and interior design. ▶️ https://nvda.ws/4cSWjox Watch the full interview and see how the startup streamlines home furnishing and design processes with the aim of improving the traditional home decor market. 🏠 NVIDIA for Startups
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Explore the future of retail and CPG with our State of AI in Retail and CPG Survey Report 🛍️📊 https://nvda.ws/3xMS8Mn Read through and discover how AI is shaping the industry, from enhancing store analytics to transforming demand forecasting. 📈