KEVIN K.’s Post

🚀 Exciting Announcements from NVIDIA GTC Keynote by Jensen Huang!      🧠 Blackwell Computing Platform: Revolutionizing real-time generative AI and large language models for the trillion parameter LLM era.    📦 NIM-Microservices: Streamlining AI deployment with cutting-edge microservices.    ☁️ Omniverse: Unveiling new simulation capabilities and also CloudXR streaming for the Apple Vision Pro.    🌍 Earth 2: Model for weather simulation with high resolution also leveraging Gen AI.    🤖 Project GROOT: Introducing groundbreaking multimodal foundation model not only for humanoid robotics.   What are your highlights of #GTC2024 so far?   

Huge upgrade to the NVIDIA GPU family and framework. Prepare for a giant leap in AI and robotics.

🚀 Exploring the Power of NVIDIA NIM and LangChain🚀 NVIDIA recently introduced NIM microservices, which are essentially smart AI helpers for working with 3D data. Think of them as digital assistants that can: Answer Questions: Using AI to understand and respond to queries about 3D data. Generate Code: Automatically write Python code for visualizing and manipulating 3D objects. Search and Validate: Help find and check large amounts of 3D data quickly. By combining NVIDIA NIM with LangChain, you can create powerful AI-driven applications for various industries. For example: Manufacturing: Use NIM to design and visualize virtual factories, while LangChain helps create intelligent maintenance bots that understand and interact with human operators. Robotics: NIM can simulate robot movements in a virtual space, while LangChain enables the creation of AI agents that can guide and instruct these robots. #AI #NVIDIA #LangChain #DigitalTransformation #Innovation #3DModeling #AIApplications #TechExplained

NVIDIA Omniverse NVIDIA created virtual worlds simulations where robots learn to make decisions by performing actions in a virtual world that obey the laws of physics. #generativeai #Omniverse #NVIDIA #computex2024 #robotics #machinelearning #outsourcing

Just announced 🎉 #NVIDIA #NeMo will support the end-to-end pipeline for developing multimodal models. ➡️https://nvda.ws/4fDFboa Accelerate petabytes of video data processing by up to 7x with #NeMo Curator and get high-quality, high-compression tokenization with up to 12x faster, accurate visual reconstruction with Cosmos tokenizers. #generativeAI #multimodal

From AI beating AI to robots coming home—tech is moving at a mindblowing speed! Whether it’s Nvidia stepping up the game, Microsoft turning sound into images, or a 3-person team building your future robo-buddy, the innovation is unreal. 🤯 Which one blows your mind the most? Drop your thoughts below! 👇 #TechTuesday #AIUpdates #FutureOfTech #Nvidia #OpenAI #Microsoft #RoboticsRevolution #Innovation #SpeechtoNote

Introducing NVIDIA Cosmos Tokenizer and NVIDIA NeMo Curator for video data processing. Training multimodal generative AI is now more accessible and fast!

🌞 Bright future discussions in a dark room. ⬛ All black attire but the future can be filled with orange and green. Ounces of sand particles transformed into billions of transistors packed in compact chips. These compact chips are interconnected using data highways transporting trillions of bits at blitzing speed. We are witnessing a revolution in computing. This can transform our physical world rapidly. Many innovations are accelerated. Nvidia has brought onboard all the computing biggies atop their alphabet soup of platforms. (kudos!) Watch this good 16-minutes summary of NVidia developer conference https://lnkd.in/g6NZAadq The question is: what do humans expect in the future? 🤼 The developers ponder: what shall we build for humans? 🏗 #genai #robotics #choresmadeeasy #computing #cloudcomputing #graphics #physics #chips #brightfuture #continuouslearning Robots was surprising. I like their take of GR00T - Grass roots 00 Three robot.

🎥 [WATCH 👀 and discover the future of Edge AI 🤖 一立即观看并探索边缘 AI 的未来] https://lnkd.in/g_aCcZmG Dive into hashtag#conversationalAI at the edge with Google for Developers's Gemma2 SLM on NVIDIA Jetson Orin Nano. From setup to interactive demos, see how easy it is to bring powerful AI🤖 to compact devices—even if you have zero experience with Jetson.   使用 Google for Developers 的 Gemma2 SLM 在 NVIDIA Jetson Orin Nano 上深入探索边缘 #conversationalAI 标签。从设置到交互式演示，了解将强大的 AI🤖 引入紧凑型设备是多么容易——即使您对 Jetson 毫无经验。   https://nvda.ws/40pQ2Os   🎥 Watch now and discover the future of Edge AI🤖. Google's Gemma2 SLM on NVIDIA Jetson Orin Nano: The Future of Conversational Edge AI https://lnkd.in/g_aCcZmG  youtube.com    🎥 立即观看并探索边缘 AI🤖 的未来。  Google 的 Gemma2 SLM 在 NVIDIA Jetson Orin Nano 上：对话式边缘 AI 的未来 https://lnkd.in/g_aCcZmG youtube.com

I highly recommend watching this summary of the keynote by Nvidia CEO Jensen Huang. It's full of announcements about Blackwell, robotics and integration with Apple Vision Pro, but the key thing to remember is what Huang says in the beginning: "Blackwell is not a chip, it is a platform." And that is what makes competing with Nvidia very hard for any competitor, regardless of its size or budget. https://lnkd.in/ePJRZa47 #nvidia #blackwell #hopper #GB200