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In our latest Teraco Tech Days session, Claudio Polla from NVIDIA joined us to discuss how advancements in Generative AI are shaping every industry. If you missed it, the recording is now available to watch on-demand. https://lnkd.in/dNZEv9Jf #NVIDIA #GenerativeAI #ArtificialIntelligence

Exciting Update from NVIDIA GTC! I had the privilege of interviewing Chet Kapoor, CEO and Chairman of DataStax on The Ravit Show, diving into their groundbreaking partnership with NVIDIA. Key Highlights of Our Conversation: - GTC Highlights: Chet shared his excitement about the latest developments and innovations showcased at NVIDIA GTC this week. - Solving Generative AI Challenges: We explored how the DataStax-NVIDIA partnership is uniquely positioned to address specific challenges businesses face with generative AI, offering new solutions and opportunities. - Vectorize: A Game-Changer: Chet gave us an insider's look at 'Vectorize', DataStax's latest feature in developer preview. It's set to revolutionize data management and processing. - Real-World Impact: We wrapped up with an insightful discussion on how existing customers benefit from this partnership, including some exciting use cases that demonstrate its practical applications. Chet's insights provided a deep understanding of the strategic importance of the DataStax-NVIDIA partnership and its impact on the future of AI and data management. A big thank you to Chet Kapoor for the enlightening conversation and to NVIDIA GTC for hosting us! Stay tuned for more updates from the forefront of tech innovation! #data #ai #nvidiagtc #datastax #theravitshow

Sid Khare and Domino Data Lab are making it easy to help you attend one of the most important AI conferences in history. Reach out to Sid and team for help!

Kinetica is part of the NVIDIA ecosystem of partners supporting the #telecom industry's move to adopt #genAI. Using Kinetica’s real-time #RAG solution, powered by NVIDIA #NeMo, seamlessly integrate LLMs with your network data to optimize coverage or address weather related disruptions all using plain English. 😏 “Kinetica uses the NVIDIA AI Enterprise software platform and accelerated computing infrastructure to infuse real-time data into LLMs, helping customers transform their productivity with generative AI.” -Ronnie Vasishta, SVP Telecom, NVIDIA. Watch the demo here: https://lnkd.in/gdzHNhGK

The same day Satya announces an extension to Microsoft’s Phi-3 family of models, we made them available as NVIDIA #NIMs on the API Catalog. I asked Phi-3-Vision, its latest multimodal model, to describe the announcement through a pic I uploaded during the #MSBuild keynote. Its reasoning is impressive! Try it yourself on ai.nvidia.com.

😉 Everyone has heard about NVIDIA's "superchip," but what else was interesting 🤔 at the conference will be covered in this news issue 👇 1.Project GR00T: https://lnkd.in/dPMAHivE 2. Blackwell GB200: https://lnkd.in/dEW5JTWr 3. Game Characters That Listen and React: https://lnkd.in/dsKUEcKm In Digica, we make practical AI for your business! #datascience #deeplearning #neuralnetwork #machinelearning #nvidia #gtc

Just attended a fascinating talk by Canonical about leveraging Ceph for AI workloads. Here are some key takeaways that caught my eye: Ceph + NVIDIA DGX SuperPOD = Performance: Imagine running your AI models on the powerful NVIDIA DGX SuperPOD and having Ceph handle the massive storage needs seamlessly. Ceph's scalability ensures your storage grows alongside your ambitious AI projects. MicroCeph: The talk also touched upon Microceph, Ceph+Snap to easy deploy on the small scale. Intrigued by the possibilities of AI and Ceph integration. What are your thoughts on this powerful combination? Let's discuss in the comments! #AI #CephStorage #NVIDIADGX #MachineLearning #EdgeComputing #Microceph

✨📈 NVIDIA's Q4 fiscal 2024 results reflect remarkable growth, with a 𝗿𝗲𝗰𝗼𝗿𝗱 𝗿𝗲𝘃𝗲𝗻𝘂𝗲 𝗼𝗳 $𝟮𝟮.𝟭 𝗯𝗶𝗹𝗹𝗶𝗼𝗻, 𝘂𝗽 𝟮𝟮% from the previous quarter and 𝗼𝘃𝗲𝗿 𝟮𝟲𝟱% from a year ago. NVIDIA's data center segment, a key indicator for AI interest, saw a significant increase, up over 400% from the previous year. This surge in revenue and the company's pivotal role in driving AI innovation demonstrate NVIDIA's substantial impact on the AI industry. #NVIDIA #NVDA #AI #AIInnovation #GPU

Nvidia has introduced NIM, a robust platform for building, self-hosting, and scaling AI models using containerization and Kubernetes across any GPU infrastructure. Key highlights include: - **Scaling AI Models**: Explore efficient techniques and strategies for scaling AI models to meet growing demands. - **Self-Hosting AI Models**: Detailed steps on deploying and managing AI models on your own infrastructure, ensuring control and customization. - **Nvidia H100 GPU**: Insights into the capabilities of Nvidia's H100 GPU, designed to handle intensive AI workloads with superior performance. - **AI and Workforce Impact**: A thoughtful discussion on whether AI will replace humans in the workforce, examining the future landscape of employment. This document serves as a comprehensive guide for leveraging Nvidia NIM in AI model development and management, while also providing a broader perspective on the implications of AI technology. #AI #Nvidia #TechNews #ArtificialIntelligence #Kubernetes ---------------------- Learn more here: https://lnkd.in/eijfNW-m

Learn how NVIDIA Omniverse and generative AI are fuelling the next leap in industrial digitalization. Join NVIDIA's Markus Hacker at the Hamburger IT-Strategietage on Thursday, February 22 at 3:55 p.m. CET. Join Now >