AI Utah的动态

At the recently concluded NVIDIA GTC Conference, I had the privilege of witnessing the latest advancements in AI, computer graphics, and data science that are reshaping our technological landscape. As a passionate technologist, this event was a remarkable opportunity to explore the frontiers of artificial intelligence, computer graphics, data science, and beyond. ? From mind-bending AI applications to cutting-edge developments in computer vision and robotics, the event showcased the boundless potential of technology to transform industries and revolutionize the way we live and work. ? One of the highlights was NVIDIA CEO @Jensen Huang's keynote, where he unveiled groundbreaking innovations in AI, robotics (GR00T), and computing (Blackwell Platform). Particularly exciting was the introduction of Nvidia inference microservices (Nvidia NIM), a novel approach connecting developers with GPUs to deploy custom AI solutions across various applications. His visionary presentation left me inspired by the limitless possibilities ahead. ? Beyond the captivating presentations, the conference provided an invaluable networking experience. I had the chance to connect with fellow professionals, exchange ideas, and gain valuable perspectives from experts across diverse domains. These interactions have undoubtedly enriched my understanding and opened my eyes to new avenues for innovation. Thank you Allison Siu Shobhit Aggarwal David Carlson Jimmy Whitaker Shailesh Tyagi Ed Hsu Elizabeth Bagnas Sam Heywood Dean Stavropoulos Morgan Evans for allowing me to connect and sharing your wisdom.? Thank you Elizabeth Bagnas and Pure Storage for the custom AI Superhero photo. ? If you haven't had the chance to attend NVIDIA GTC, I highly recommend marking your calendars for the next edition. #NVIDIAGTC #ArtificialIntelligence #ComputerVision #DataScience #Innovation #TechnologyLeadership

What a Blast at NVIDIA's GTC Keynote with CEO Jensen Huang! ???? Together with Pawel Wozniak we just wrapped up Live in San Jose NVIDIA CEO Jensen Huang's keynote at the GPU Technology Conference (GTC), and I'm absolutely floored by the AI advances being showcased. From groundbreaking developments in machine learning to the future of computational graphics, it's clear that NVIDIA is pushing the boundaries of what's possible. The depth and breadth of innovation discussed are truly game-changing for the technology industry. Whether you're involved in data science, software engineering, AI research, or simply have a passion for cutting-edge technology, this keynote is a must-watch. The insights into AI's evolving role in shaping our future are invaluable. Watch full version -> https://lnkd.in/dXXBgWZR #GTC24 #NVIDIA #AI #Innovation #TechnologyFuture #LinkGroup Link Group

?? Nvidia CEO Emphasizes AI's Critical Role in Next-Gen Graphics 1? "We can't do computer graphics anymore without artificial intelligence," says Jensen Huang at the Goldman Sachs Communacopia + Technology Conference. By computing one pixel, AI infers 32 others, cutting computational load and energy use. #AI #Nvidia #GraphicsTech #Innovation #Sustainability #GoldmanSachs 2? Nvidia's DLSS tech exemplifies this, offering faster rendering, improved image quality, and enhanced performance. By making rendering more energy-efficient, DLSS reduces the overall power consumption needed for high-end graphics. #DLSS #DeepLearning #TechEfficiency #NextGenGraphics #EnergyEfficiency #HighPerformanceComputing 3? Beyond graphics, AI impacts robotics, digital biology, and drug discovery, driving advancements in healthcare and other fields. AI-integrated technologies like these are set to revolutionize multiple sectors, creating far-reaching benefits. #Robotics #DigitalBiology #DrugDiscovery #HealthcareAI #TechAdvancements #FutureTech Source: PC Gamer

In today‘s Tech InnSights, we are talking about Nvidia that announced a new generation of artificial intelligence chips and software for running AI models. The new AI graphics processors are named Blackwell and are expected to ship later this year. The first Blackwell chip is the GB200. This announcement comes as companies and software makers still scramble to get their hands on the current generation of H100s and similar chips. Read everything about this topic here: https://lnkd.in/dcp5YQvh #innowave #techinnsights #nvidia #AI

Unleash the power of AI with Nvidia Tesla A100/H100 80G GPUs! ?? These high-performance computing powerhouses are designed for deep learning inference, AI reasoning, and more. Experience the next level of graphics and computing with A100/H100 GPU graphic cards. LEARN MORE: www.exeton.com #AI #GPUs #Nvidia #A100 #H100 #HighPerformanceComputing #DeepLearning

Semiconductor race... NVIDIA is history Check Cerebras Systems--- Revolutionary Compute for Generative AI Demystifying Chip Tech: Cerebras Systems vs. NVIDIA** In the ever-evolving realm of chip technology, two titans stand out: Cerebras Systems and Nvidia. But how do they compare, and which one reigns supreme? Let's delve into their distinct approaches: Cerebras Systems: Scalability King: Cerebras boasts the Wafer-Scale Engine (WSE), a revolutionary architecture integrating an entire chip onto a single wafer. This monolithic design fosters massive scale, ideal for tackling problems in domains like: Neuroscience: Simulating the intricate workings of the human brain. Materials Science: Accelerating discovery and innovation in materials research. Cosmology: Unraveling the mysteries of the universe with complex simulations. Nvidia:Versatility Champion: Nvidia's strength lies in its diverse range of GPUs (Graphics Processing Units) catering to a wider spectrum of applications: Gaming: Powering cutting-edge graphics and immersive experiences for gamers. AI and Machine Learning: Enabling efficient training and inference of AI models across various industries. Scientific Computing: High-performance computing for scientific research and simulations. Professional Graphics: Delivering exceptional rendering capabilities for creative professionals. There's no one-size-fits-all answer. The choice between Cerebras and Nvidia hinges on your specific needs: For problems demanding unrivaled scale and tackling domains like neuroscience or cosmology, Cerebras might be the frontrunner. For versatility across various applications, including gaming, AI, scientific computing, and professional graphics, Nvidia reigns supreme. #chiptechnology #cerebras #nvidia #artificialintelligence #machinelearning #neuroscience #scientificcomputing #gaming #graphics Virecube

?? Nvidia’s value has soared to $2 trillion! This significant growth reflects the strong demand for its advanced AI technologies. Our latest article explores how Nvidia shifted from enhancing video game graphics to becoming a leader in the AI field. ?? In the article, we cover Nvidia's annual developers conference, which showcased incredible AI-driven advancements. From revolutionizing drug development to introducing AI in robotics, Nvidia is setting new standards. ?? As Nvidia continues to innovate, it's vital to consider the broader effects of AI on society and work. ?? For a complete overview of Nvidia's journey and the future of AI, check out the full article here https://lnkd.in/d4kmf5v6. #Nvidia #AI #TechNews #BusinessGrowth #Innovation

?? NVIDIA - New chips, tools, and Omniverse at GTC event ?? __________ NVIDIA recently unveiled a series of groundbreaking hardware, computing platforms, and simulation engines during its GTC event, aimed at advancing generative AI and robotics. CEO Jensen Huang emphasized the need for accelerated computing, introducing cutting-edge solutions to meet the demands of tomorrow's AI infrastructure: ? Blackwell GPU and Computing Platform: NVIDIA's Blackwell chip, boasting a staggering 104 billion transistors, promises enhanced performance for multimodal training of AI models. Interconnecting two Blackwell GPUs yields significant processing boosts, with the NVLink interconnect facilitating the connection of up to 576 GPUs. ? NVIDIA DGX SuperPOD Supercomputer: Leveraging the Grace Blackwell Superchip, NVIDIA's GB200 NVL2 racks offer exaflop computing capabilities. The NVIDIA DGX SuperPOD, powered by these racks, delivers an impressive 11.5 exaflops of AI supercomputing at FP4 precision. ? NVIDIA NIM Microservices: NVIDIA introduced NIM (NVIDIA Inference Microservice), pre-built containers equipped with pretrained models and APIs, streamlining AI software development and deployment. ? Omniverse: Addressing the challenges of physical AI development, Omniverse provides a virtual simulation environment for training robots, optimizing their interactions with the real world. ? Isaac Software and Project GR00T: NVIDIA unveiled Isaac Perceptor software and Project GR00T, facilitating robotics development by enabling robots to perceive, navigate, and manipulate environments. Project GR00T, a general-purpose foundation model for humanoid robots, will run on the new Jetson Thor computer. These groundbreaking announcements underscore NVIDIA's commitment to advancing AI and robotics technologies. With its innovative solutions, NVIDIA aims to revolutionize AI infrastructure, paving the way for future developments in the field. #AI?#Artificialintelligence?#AIInnovation?#AIResearch?#AIForGood #NVIDIA?#Technology?#Innovation?#ExplainableAI?#BusinessInnovation _____ Feel free to: ???? Like & comment this post ???? Follow me : Florent Delavous ??