⚙️ Calling all developers, join our Agentic #AI App Hackathon with Google Cloud Run. 📆 July 19-20 in 📍 NYC. Leverage NVIDIA L4 GPUs and popular open models, like Gemma 3, DeepSeek-r1, Llama 2, and Stable Diffusion to build your own agentic applications. Spots are limited, so register now. ➡️ https://lnkd.in/dw5duVqi 🙌 We will see you there.
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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NVIDIA AI reposted this
Accelerated by #NVIDIAGraceBlackwell Superchips, the P6e-GB200 is the most powerful EC2 instance from Amazon Web Services (AWS). Designed for state-of-the-art models, delivering maximum AI training and inference performance. Learn more ⤵️
Trillion-parameter AI models just found their dream home. 🚀💻⚡️ https://go.aws/4lhjVI7 Introducing Amazon EC2 P6e-GB200 UltraServers accelerated by NVIDIA Grace-Blackwell Superchips, where 72 GPUs unite as one system to power frontier #AI models. Set up your AI ambitions in the most powerful address in the cloud. #AWS
AWS - Introducing Amazon EC2 P6e-GB200 UltraServers
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Discover how to streamline multiple LLM deployments with a single, run-anywhere container with #NVIDIANIM. ✅ Rapidly deploy your choice of #LLM from Hugging Face and integrate into AI agents and applications ✅ Customize deployment with simple configuration options ✅ Use NVIDIA-hosted NIM endpoints and Launchables, or self-host NIM on your preferred NVIDIA accelerated infrastructure 📅 Join our livestream on July 17 at 9am PDT: https://nvda.ws/40d4Cb2
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NVIDIA AI reposted this
🌍 NVIDIA Earth-2 now offers #AI for subseasonal-to-seasonal #weatherforecasting, enabling large ensemble predictions at lower costs. Learn how this can benefits farmers, energy firms, and governments. #ClimateTech Read our tech blog now. ⤵️
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Join us for an in-depth livestream tailored for developers, where we unveil the techniques behind NVIDIA NeMo Retriever’s industry-leading performance in enterprise retrieval-augmented generation (RAG) applications. Discover how NeMo Retriever secured first-place across the ViDoRe V1, ViDoRe V2, and MTEB Visual Document Retrieval leaderboards using NVIDIA’s winning techniques. Learn how to use NVIDIA AI Blueprints like AI-Q for building AI agents and RAG, to build world-class multimodal retrieval systems. We’ll cover leaderboard-winning techniques, real-world integration strategies, and best practices for deploying scalable, production-ready RAG systems that set a new standard for enterprise AI.
Top-Ranked RAG: NeMo Retriever Leads Visual Document Retrieval Leaderboards
www.linkedin.com
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👀 From grid-free Monte Carlo simulation to animatable avatars, #NVIDIAResearch papers at #SIGGRAPH2025 are redefining AI and graphics. See what’s new ➡️ https://lnkd.in/gyEKPa8
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NVIDIA NIM microservice containers provide everything AI teams need to deploy the latest AI models from NVIDIA and the community with a simple ‘docker run’ command. NVIDIA now provides a single NIM container designed to work with the most popular open source LLM architectures, including over 100,000 LLMs on Hugging Face. With multiple inference backends including NVIDIA TensorRT-LLM, vLLM and SGLang built-in, the LLM-agnostic NIM container automatically pairs your choice of LLM with an optimal inference backend and starts serving it for high performance inference on NVIDIA GPUs anywhere— workstation, datacenter or cloud. Join the Livestream to see how it works including common use-cases and examples demonstrated live.
Simplify Deployment for a World of LLMs with NVIDIA NIM
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Get ready to #SparkSomethingBig💫 with your own NVIDIA DGX Spark personal AI supercomputer. Reserve yours now ➡️ https://nvda.ws/44IBhb1
Prototype, fine-tune, and deploy with ease. 🙌 NVIDIA DGX Spark, your own personal AI supercomputer. ✅ 1 petaFLOP ✅ 128GB of coherent, unified system memory ✅ ConnectX-7 Smart NIC ✅ Up to 4TB Storage ✅ 150mm L x 150mm W x 50.5mm H Reserve yours now ➡️ https://nvda.ws/3ZX2Omo
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🛠️ Still thinking about your #AIonRTXHackathon plug-in idea? Get inspired, get building—and get a chance to be rewarded. 💻✨ Win a RTX 5090 laptop, 5080 or 5070 GPU. Details here: https://nvda.ws/4lhQYvL
Hackathon Alert ‼️ We're hosting an #AIonRTXHackathon for Project G-Assist, an assistant that runs locally on RTX AI PCs. Build a custom Project G-Assist plug-in for a chance to win NVIDIA RTX prizes like a GeForce RTX 5090 laptop. 🔗 Details: https://nvda.ws/45nS5F6 📅 June 17 to July 16 Want to get building? Read the blog for tools, tips, ideas, and more ➡️ https://nvda.ws/3G0ZjEE
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🔐 AI is reshaping cybersecurity — not just the threats, but how security teams operate. As attackers use AI to scale phishing, deepfakes, and system breaches, enterprises are leveraging it to improve speed, precision, and scale. With AI, security teams can: ⚡ Detect breaches faster 🔍 Automate threat monitoring and response 🧠 Understand their threat surface in real time