Connecting in the Metaverse: The Making of the GTC Keynote NVIDIA 2026-09-22 | Connecting in the Metaverse: The Making of the GTC Keynote
Partner With NVIDIA to Develop Customized AI Training Plans NVIDIA 2024-10-15 | Hear from Sara Wagner, a training advisor at NVIDIA, as she explains how NVIDIA's tailored training programs help organizations learn how to take full advantage of AI technologies.Learn more: nvidia.com/en-us/learn/organizations
The Transformative Power of Accelerated Computing and AI NVIDIA 2024-10-08 | Don't miss this special address from Bob Pette, where he’ll discuss how NVIDIA's accelerated computing platform is delivering breakthrough performance in the next wave of AI, sensor processing, digital twins, cybersecurity, autonomous systems, and more.Dive into the announcements and discover more content at nvidia.com/en-us/events/ai-summitFollow NVIDIA on X:https://x.com/NVIDIA
Empowering Innovation: Menlo Ventures Spotlight NVIDIA 2024-09-30 | Discover how NVIDIA partners with leading venture capital firms like Menlo Ventures to drive innovation in the AI space. Hear from Amy Wu as she shares the firm's investment strategy and how they work with founders.Learn more about Menlo Ventures: menlovc.com Learn more about the NVIDIA VC Alliance: nvda.ws/3N8OAb6
A Look Inside AI for Investment Insights NVIDIA 2024-09-23 | Two Sigma is enhancing trading strategies in capital markets with NVIDIA’s accelerated computing platform. Learn how the firm stays at the forefront of applying emerging technologies and uses AI to deliver predictive insights for investment management.Hear from Jeff Wecker, CTO at Two Sigma.Discover more: nvidia.com/en-us/industries/finance#financialservices #capitalmarkets #generativeAI
A Look Inside Generative AI Agents for Telecom NVIDIA 2024-09-23 | Learn how telecom companies can supercharge customer service agents using generative AI from Amdocs, powered by NVIDIA. Amdocs uses generative AI to quickly explain to customers unexpected billing increases and recommends personalized plans—reducing resolution times from 10-15 minutes to 30 seconds, a 20-30x increase. Hear from Anthony Goonetilleke, Group President Technology & Head of Strategy at Amdocs. Learn more about Amdocs and NVIDIA transforming telecom:- Explore Amdocs and NVIDIA collaboration: nvda.ws/3MVnXGK- Download the ebook: nvda.ws/3YYsVcU - Watch the on-demand GTC session: nvda.ws/3YVQzXB - Read the technical blog: nvda.ws/47249dP #telecom #generativeAI #customerexperience
Future of Cellular: T-Mobile & NVIDIA Accelerate AI-RAN Commercialization NVIDIA 2024-09-18 | Future telecom networks will carry voice, data, video, and AI traffic, and they'll be orchestrated and optimized by AI. Telecom industry leaders are pioneering a groundbreaking, unified solution called AI-RAN, harnessing the power of NVIDIA AI Aerial, to transform cellular networks for the AI Era.Read about NVIDIA AI Aerial: blogs.nvidia.com/blog/ai-aerial-wireless-networksLearn more about AI RAN: nvidia.com/en-us/industries/telecommunications/ai-ran
Transforming Live Media with NVIDIA Holoscan for Media NVIDIA 2024-09-09 | NVIDIA Holoscan for Media is a software-defined, AI-enabled platform that allows live video pipelines to run on the same infrastructure as AI. It delivers applications from established and emerging vendors across the ecosystem on repurposable, NVIDIA accelerated commercial-off-the-shelf hardware. It’s an IP-based solution built on industry standards and APIs such as ST 2110 and inclusive of essential services like PTP for timing and NMOS for interoperability and manageability. Take advantage of flexible deployment, resource scalability, and the latest video, predictive, and generative AI technologies by transitioning true software-defined infrastructure with Holoscan for Media.Learn more about Holoscan for Media: nvda.ws/3XhtZGg
A Look Inside The Accelerated Enterprise NVIDIA 2024-09-06 | Business leaders across industries are working with us to harness AI in driving operational efficiencies and transforming customer experiences. Discover how they are integrating and scaling #AI, #acceleratedcomputing, and #simulation into their products, services, and operations.Learn more: nvda.ws/4dPutKl
Instantly Deploy Generative AI With NVIDIA NIM on OCI NVIDIA 2024-08-28 | Deploying generative AI models efficiently and securely is a critical challenge for organizations aiming to leverage the latest advancements in AI. To help developers simplify this task, NVIDIA NIM™ on Oracle Cloud Infrastructure (OCI) Container Engine for Kubernetes (OKE) and bare metal / virtual machines enables enterprises to achieve scalable, efficient inference with optimal performance. Learn a low-code method of using the NVIDIA microservices accelerated by GPUs on OCI to deploy generative AI applications into production with confidence on OKE and/or bare metal.See this demo in action at Oracle CloudWorld: nvidia.com/en-us/events/oracle-cloudworld
Reimagining the Future: NVIDIA Inception Startups Showcase AI Innovations NVIDIA 2024-08-23 | NVIDIA works with ambitious startups and VCs to tackle the world's biggest challenges. Join Howard Wright, VP of the NVIDIA Inception Program for startups, as he highlights the latest AI-powered apps from startups in the SIGGRAPH Innovation Zone.Learn more about the NVIDIA Inception Program for Startups: nvidia.com/en-us/startups/?ncid=so-yout-796514-vt53
Enhancing AV Simulation with Generative AI - DRIVE Labs Ep. 36 NVIDIA 2024-08-21 | Simulation is critical to the development of safe autonomous driving systems. However, creating realistic scenarios that accurately depict rare and potentially dangerous situations can be extremely labor intensive. In this episode of DRIVE Labs, we discuss three key advancements from NVIDIA that use generative AI such as text-to-simulation to create realistic environments, generate natural driving behaviors, and edit the resulting scenarios to enable rigorous AV evaluation and training.00:00:00 - Simulation is critical to safety of autonomous driving systems00:00:42 - Building realistic road layouts with MapLLM00:01:18 - Generating natural driving behaviors with LCTGen00:02:20 - Editing the result with Scenario Editor00:03:36 - Future integration into the NVIDIA NIM roadmapResources:Paper: Language Conditioned Traffic Generation: ariostgx.github.io/lctgenPaper: RealGen: RAG for Controllable Traffic Scenarios: arxiv.org/abs/2312.13303 Video: AV Development With Foundation Models, Dr. Marco Pavone, GTC 2024: nvidia.com/en-us/on-demand/session/gtc24-s62855Video: NVIDIA AI Tools for AV Developers, GTC 2024: youtube.com/watch?v=LLSuUBObttEWatch the full DRIVE Lab series: nvda.ws/3LsSgnHLearn more about DRIVE Labs: nvda.ws/36r5c6tFollow us on social: Twitter: nvda.ws/3LRdkSs LinkedIn: nvda.ws/3wI4kue#NVIDIADRIVE
NVIDIA at SIGGRAPH 2024 Highlights NVIDIA 2024-08-08 | NVIDIA had an incredible week at #SIGGRAPH2024. See how SIGGRAPH is leading conversations around computer graphics, simulation and #AI as it expands beyond just media and entertainment — into huge industries like robotics, autonomous vehicles and scientific discovery. nvda.ws/3A9UNQT
AI-Powered Intelligent Document Processing NVIDIA 2024-08-07 | NVIDIA Inception startup 6Estates offers enterprise solutions for intelligent document processing and workflow automation, leveraging large language models. The company aims to enhance enterprise growth and efficiency through AI-driven innovation.Learn more about the NVIDIA Inception program for startups: nvda.ws/4fOUMCz
NVIDIA Accelerating the Future of AI & Humanoid Robots NVIDIA 2024-08-02 | NVIDIA unveiled a suite of services, models, and computing platforms designed to accelerate the development of humanoid robots globally. Key highlights include:- NVIDIA NIM™ Microservices: These containers, powered by NVIDIA inference software, streamline simulation workflows and reduce deployment times. New AI microservices, MimicGen and Robocasa, enhance generative physical AI in Isaac Sim™, built on @NVIDIAOmniverse.- NVIDIA OSMO Orchestration Service: A cloud-native service that simplifies and scales robotics development workflows, cutting cycle times from months to under a week.- AI-Enabled Teleoperation Workflow: Demonstrated at #SIGGRAPH2024, this workflow generates synthetic motion and perception data from minimal human demonstrations, saving time and costs in training humanoid robots.NVIDIA’s comprehensive approach includes building three computers to empower the world’s leading robot manufacturers: NVIDIA AI and DGX to train foundation models, Omniverse to simulate and enhance AIs in a physically-based virtual environment, and Jetson Thor, a robot supercomputer. The introduction of NVIDIA NIM microservices for robot simulation generative AI further accelerates humanoid robot development.Learn more about how NVIDIA is transforming humanoid #robotics and explore the NVIDIA Humanoid Robot Developer Program. Apply today: developer.nvidia.com/humanoid-robot-program
NVIDIA Networking: Purpose-Built for AI NVIDIA 2024-08-02 | Data center network design is critical to handling the demands of AI workloads. Discover how NVIDIA #Networking solutions are purpose-built with advanced innovations to ensure maximum AI performance. Learn more by reading the #NetworkingforAI Whitepaper: resources.nvidia.com/en-us-networking-ai/networking-overall#SpectrumX #InfiniBand #Quantum
NVIDIA CEO Jensen Huang at SAP Sapphire Keynote NVIDIA 2024-07-31 | At the SAP Sapphire Orlando keynote, NVIDIA Founder and CEO Jensen Huang and SAP CEO Christian Klein unveiled #generativeAI efforts featuring NVIDIA AI Enterprise software to offer two new capabilities for Joule, SAP’s generative AI copilot — SAP Consulting capabilities and ABAP Developer capabilities.Learn more: nvda.ws/4fBqeUG
Build Visual AI Agents with Vision Language Models NVIDIA 2024-07-30 | Empower your operations team with visual AI agents that provide richer insights and natural interactions for faster decision-making. Learn how to create VLM-powered AI agents with NVIDIA NIM and Metropolis microservices for various use cases.Learn more about visual AI agent: nvda.ws/3Wry3VkDownload NVIDIA VIA Microservices: nvda.ws/3zMgiad#aiagents #generativeai #SIGGRAPH2024
AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg NVIDIA 2024-07-30 | NVIDIA founder and CEO Jensen Huang and Meta founder and CEO Mark Zuckerberg discuss how fundamental research is enabling AI breakthroughs, and how generative AI and open-source software will empower developers and creators. They also discuss the role of generative AI in building virtual worlds, and the potential of virtual worlds for building the next wave of AI and robots.
What’s Next in AI: NVIDIA’s Jensen Huang Talks With WIRED’s Lauren Goode NVIDIA 2024-07-29 | In a talk at SIGGRAPH 2024, NVIDIA CEO Jensen Huang chats with WIRED Senior Writer Lauren Goode to explore accelerated computing, generative AI, and the breakthrough research that’s fueling the next wave of innovation, virtual worlds, and robotics. Watch the "AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg" talk: youtu.be/w-cmMcMZoZ4
Train Physical AI With Real-World Simulations Using fVDB. NVIDIA 2024-07-29 | For physical AI to operate in 3D spaces, it must have spatial intelligence—the ability to understand and reason in the real world. Achieving spatial intelligence involves converting the world around us into AI-ready virtual representations that the model can understand. fVDB, developed by NVIDIA, is an open-source deep learning framework for sparse, large-scale, high-performance spatial intelligence. It builds NVIDIA-accelerated AI operators on top of OpenVDB to enable reality-scale simulations for training physical AI. Read the full blog: blogs.nvidia.com/blog/fvdb-bigger-digital-modelsRead the fVDB technical blog: developer.nvidia.com/blog/building-spatial-intelligence-from-real-world-3d-data-using-deep-learning-framework-fvdbWatch: Introducing fVDB: Deep Learning Framework for Generative Physical AI with Spatial Intelligence youtube.com/watch?v=6JCp0hXb3S4Apply for the fVDB Early Access Program: developer.nvidia.com/fvdb/early-access-formCheck out the OpenVDB Github: github.com/AcademySoftwareFoundation/openvdbLearn more about fVDB: developer.nvidia.com/fvdb
Advancing Humanoid Robot Development NVIDIA 2024-07-29 | NVIDIA builds three computers to enable the world’s leading robot manufacturers to build AI-enabled robots - NVIDIA AI and DGX to train foundation models, Omniverse to simulate and enhance AIs in a physically-based virtual environment, and Jetson Thor, a robot supercomputer. NVIDIA introduces new NVIDIA NIM microservices for robot simulation generative AI, accelerating humanoid robot developers. A new teleoperation-simulation workflow enables humanoid robot developers to generate massive amounts of synthetic motion and perception data from a small number of recorded human demonstrations using NVIDIA Omniverse and NIM microservices.Read the full press release: nvidianews.nvidia.com/news/nvidia-accelerates-worldwide-humanoid-robotics-developmentJoin the Humanoid Robot Developer Program: developer.nvidia.com/humanoid-robot-program
NVIDIA NIM for OpenUSD Generative AI NVIDIA 2024-07-29 | With NVIDIA NIM microservices USD Search and USD Code, marketing leader WPP is helping The Coca-Cola Company and Ford to accelerate iteration on creative campaigns at a global scale.These NIM microservices will enable users to create 3D advertising assets that contain culturally relevant elements on a global scale, using prompt engineering to quickly make adjustments to AI-generated images so that brands can better target their products at local markets. Read the full blog: blogs.nvidia.com/blog/coca-cola-wpp-omniverse-generative-ai
Build Generative AI Powered Visual AI Agents for the Edge NVIDIA 2024-07-29 | This video demonstrates how Vision Language Models (VLMs) on #NVIDIAJetson enable you to interact with videos and images using natural language, identify events with contextual understanding, and more.Learn more about visual AI agent: nvda.ws/3Wry3VkRead the blog: nvda.ws/3WeYBaO#generativeAI
Visual AI Agent Powered by NVIDIA NIM NVIDIA 2024-07-29 | Perceptive and interactive visual AI agents are enabling operations teams across a range of industries to make better decisions faster. NVIDIA Metropolis reference workflows make it easy to get started building and customizing these AI Agents - all powered by generative AI Vision Language Models (VLM) and NVIDIA NIM.Learn more about visual AI agent: nvda.ws/3Wry3VkTry the reference workflow: nvda.ws/4d83rxD
How to Land an Internship at NVIDIA: Inside Tips From a Top Recruiter NVIDIA 2024-07-26 | Land an internship at NVIDIA: Linh Nguyen, who leads our campus recruiting teams, shares inside tips about how to stand out from the crowd.Learn more:blogs.nvidia.com/blog/nvidia-life-linh-nguyen#NVIDIAlife
NVIDIA CEO Jensen Huang at HPE Discover 2024 NVIDIA 2024-07-25 | NVIDIA founder and CEO Jensen Huang joined HPE President and CEO Antonio Neri live at Sphere in Las Vegas during the HPE Discover keynote to announce NVIDIA AI Computing by HPE, a portfolio of co-developed AI solutions and joint go-to-market integrations that enable enterprises to accelerate adoption of #generativeAI. #HPEDiscoverLearn more: nvda.ws/3Ygbcxa
Waabi and NVIDIA: Bringing Generative AI to the Edge NVIDIA 2024-07-09 | Raquel Urtasun, founder and CEO of Waabi, explains how #generativeAI accelerates #autonomousvehicle development through an end-to-end system that provides the ability to learn foundation models that can run unsupervised by observing and acting on the world. Learn more: nvda.ws/3XQjjQW
Using Generative AI to Tackle Global Challenges NVIDIA 2024-06-27 | NVIDIA’s vice president of AI Models, Software and Services Kari Briski joined MIT Tech Review editor-in-chief Mat Honan at #EmTechDigital to discuss how NVIDIA leverages #generativeAI to tackle global challenges, highlighting its wide-ranging applications and global impact. nvda.ws/3VFR4lj
NVIDIA Inception Startup Spotlight: WeRide NVIDIA 2024-06-27 | WeRide aims to transform urban living and mobility through the advancement of safe and reliable driverless solutions. In this interview, founder and CEO Tony Han discusses WeRide's role of NVIDIA technology in developing autonomous capabilities.Learn more about the NVIDIA Inception program for startups: nvda.ws/4bwQflf
NVIDIA Inception Startup Spotlight: HOMEE AI NVIDIA 2024-06-27 | HOMEE AI offers an AI-powered platform that revolutionizes spatial planning and interior design. The NVIDIA Inception startup streamlines home furnishing and design processes with the aim of disrupting the traditional home decor market.Learn more about the NVIDIA Inception program for startups: nvda.ws/4chV42B
Jensen Huang at the ServiceNow Knowledge24 Keynote NVIDIA 2024-06-25 | Watch NVIDIA founder and CEO Jensen Huang’s live keynote address at #Knowledge24, where ServiceNow unveiled a demo of futuristic AI avatars together with NVIDIA. The demo highlights how AI advancements support cutting-edge digital avatar communications and have the potential to revolutionize customer service interactions.Learn more here: blogs.nvidia.com/blog/nvidia-servicenow-jensen-huang
NVIDIA at COMPUTEX 2024 Partner Highlights NVIDIA 2024-06-24 | Discover how NVIDIA and our partner ecosystem took center stage at #COMPUTEX2024. Together, we're ushering the next Industrial revolution through the power of #AI and #acceleratedcomputing, with partners such as Supermicro, QCT, Ingrasys, Inventec, Gigabyte, ASUS, ASRockRackm Pegatron, Wistron, Wiwynn, and more. nvidia.com/en-us/events/computex
End-to-End Autonomous Driving: A Bird’s-Eye View - DRIVE Labs Ep. 35 NVIDIA 2024-06-18 | End-to-end autonomous driving is a holistic approach to AV system development in which the system takes in raw sensor data from cameras, radar, and lidar and directly outputs vehicle controls. Unlike traditional systems that rely on modular designs with separate components—such as detection, tracking, prediction, planning and control—end-to-end driving aims to streamline the process to avoid the deep and cascaded path from perception to planning. NVIDIA’s end-to-end driving model—Hydra-MDP—combines the components into a single network with a minimalistic design. The planning input comes directly from a bird’s-eye view feature map generated from sensor data. The NVIDIA Research team’s progress in this area won the CVPR 2024 Autonomous Grand Challenge in the End-to-End Driving at Scale category. In addition to the real-world data provided in the competition, the model also generalizes to simulation environments with high-fidelity sensors, such as NVIDIA Omniverse, for further development and testing.00:00:00 - Introducing the end-to-end driving model00:01:22 - The important role of ego queries00:01:58 - Tapping into bird's-eye view features for planning00:02:03 - The NVIDIA Hydra-MDP solution00:03:20 - Key element #1: Collecting data across diverse scenarios00:03:50 - Key element #2: Powerful computing hardware00:04:06 - Please check out the resources belowResources:CVPR 2024 Leaderboard: opendrivelab.com/challenge2024Hydra-MDP paper: arxiv.org/html/2406.06978v1NVIDIA blog: blogs.nvidia.com/blog/auto-research-cvpr-2024NVIDIA tech blog: developer.nvidia.com/blog/end-to-end-driving-at-scale-with-hydra-mdpGitHub: github.com/NVlabs/Hydra-MDPWatch the full DRIVE Lab series: nvda.ws/3LsSgnHLearn more about DRIVE Labs: nvda.ws/36r5c6tFollow us on social: Twitter: nvda.ws/3LRdkSs LinkedIn: nvda.ws/3wI4kue#NVIDIADRIVE
NVIDIA Research Wins CVPR Autonomous Grand Challenge for End-to-End Driving NVIDIA 2024-06-17 | NVIDIA has been named an Autonomous Grand Challenge winner at the 2024 Computer Vision and Pattern Recognition (CVPR) conference.Building on last year’s win in 3D Occupancy Prediction, NVIDIA Research topped the leaderboard this year in the End-to-End Driving at Scale category with its Hydra-MDP model, outperforming more than 400 entries worldwide.This milestone shows the importance of #generativeAI in building applications for physical AI deployments in #autonomousvehicle (AV) development. The technology can also be applied to industrial environments, healthcare, robotics and other areas.The winning submission received CVPR’s Innovation Award as well, recognizing NVIDIA’s approach to improving “any end-to-end driving model using learned open-loop proxy metrics.”Hydra-MDP paper: arxiv.org/abs/2406.06978 CVPR 2024 Autonomous Grand Challenge: opendrivelab.com/challenge2024Read More: blogs.nvidia.com/blog/auto-research-cvpr-2024Follow us on social: Twitter: nvda.ws/3LRdkSs LinkedIn: nvda.ws/3wI4kue#NVIDIADRIVE
Scaling Generative AI with End-to-End Platform Solutions NVIDIA 2024-06-14 | Experience the power of generative AI applications, from elevating customer service with digital assistants to revolutionizing medicine development through protein structure prediction. See how these innovative tools streamline tasks like financial forecasting, coding, and report writing, driving efficiency and productivity to new heights.
NVIDIA at COMPUTEX 2024 Highlights NVIDIA 2024-06-14 | We had an incredible week in Taiwan at #COMPUTEX2024, Asia's most important trade technology show, and the NVIDIA #AIsummit.From our CEO Jensen Huang's sold-out keynote covering what's next for #AI to the bustling crowds of the COMPUTEX show floor with all of our partners to over 1,000 developers, researchers, and business leaders coming together at the AI Summit, it has truly been a memorable experience.Enjoy the recap. nvidia.com/en-us/events/computex
NVIDIA Keynote Song at COMPUTEX 2024 NVIDIA 2024-06-05 | NVIDIA and Voicemod collaborated on this AI text-to-song that played at the closing of Jensen Huang‘s keynote at Computex 2024. Enjoy!
Building the Future of Connectivity With SAP Using Generative AI and 3D Product Digital Twins NVIDIA 2024-06-04 | Using NVIDIA AI and @NVIDIAOmniverse SAP is building the future of connectivity and is reimagining key business processes, including the sales process for manufacturers like BMW Group.SAP Intelligent Product Recommendation software utilizes generative AI to analyze requirements described in natural language and generate recommendations for the most suitable configurable products. With Omniverse Cloud APIs integrated with the application, users can then interact with physically accurate models of complex products in a digital twin of the environment where they will be installed. This lets sales teams generate quotes more quickly and helps sales representatives recommend the best solutions for their customers’ needs. In addition, SAP Intelligent Product Recommendation can use NVIDIA AI to analyze text from multiple sources, including emails and notes captured in customer relationship management software or from product specifications documents. This lets the software generate recommendations based on key, custom parameters, such as power requirements, lead times and expected carbon footprint.Read the blog: blogs.nvidia.com/blog/sap-sapphire-ai-omniverseWatch the replay of the SAP Sapphire Orlando keynote: youtube.com/@SAP
Earth-2 Goes Down to Street Level NVIDIA 2024-06-03 | Earth-2, the planetary digital twin platform built using AI, simulation, and observational data, is being enhanced with hyper-local information. At GTC we demonstrated the power of AI to generate high resolution weather information based on fast running coarse resolution simulations. While transformative for weather forecasters, many use cases require even higher resolution data. In this video we demonstrate the combination of high-resolution simulation data from ICON, WRF, and PALM with Google Photoreal Tiles served by Cesium using the Earth-2 visualization service to help address questions in the urban environment. #Cesium #ICON#WRF#PALM#Earth-2#CorrDiff#COMPUTEX2024
NVIDIA—Our Story, Built on Taiwan NVIDIA 2024-06-03 | NVIDIA pays homage to our ecosystem of partners in Taiwan who, over the past 30 years, have helped us ignite the accelerated computing revolution and the next era of AI.Thank you, Taiwan.#COMPUTEX2024#NVIDIA
The AI Factory: How NVIDIA Builds the Engine for the New Industrial Revolution NVIDIA 2024-06-03 | Discover how NVIDIA technologies create scalable Blackwell AI factories with to power the new era of AI and accelerated computing.#COMPUTEX2024 #generativeai #NVIDIABlackwell#AIFactory
Talk to Your Supply Chain Data Using NIM NVIDIA 2024-06-03 | NVIDIA has one of the most complex supply chains in the world. A single disruption in supply chain can impact our entire production process and ability to meet customer demand. Manually re-planning a large-scale supply chain can take hours or even days while only exploring a handful of possible solutions. With the help of generative AI, NVIDIA operations built an AI Planner agent, developed on NVIDIA Inference Microservices (NIM). The agent leverages LLM, NeMo Retriever and CuOpt NIM to reduce re-planning time from hours to just seconds.#NVIDIANIM#NVIDIANeMo#cuOpt#COMPUTEX2024
Digital Humans Transform Industries NVIDIA 2024-06-03 | NVIDIA ACE is a suite of digital human technologies, packaged as easy-to-deploy, fully optimized microservices, also known as NVIDIA NIM.Developers can integrate ACE NIM into their existing frameworks, engines, and digital human experiences. NeMotron LLM and SLMs to understand intent and orchestrate other models. Riva NIM for interactive speech and translation. Audio2Face and Audio2Gesture NIM for facial and body animation.ACE NIM run on NVIDIA GDN, a global network of NVIDIA-accelerated infrastructure that delivers low-latency digital human processing to over 100 regions. And today, ACE runs on RTX AI PCs.Read More: nvidianews.nvidia.com/news/digital-humans-ace-generative-ai-microservices #NVIDIANIM#DigitalHuman#NVIDIAACE#COMPUTEX2024#RTXAIPC
Introducing Generative Physical AI NVIDIA 2024-06-03 | @NVIDIAOmniverse is a development platform for virtual world simulation, combining real-time physically based rendering, physics simulation, and generative AI technologies. In Omniverse, robots can learn to be robots – minimizing the sim-to-real gap, and maximizing the transfer of learned behavior.Building robots with generative physical AI requires three computers: - NVIDIA AI supercomputers to train the models.- NVIDIA Jetson Orin, and next generation Jetson Thor robotics supercomputer, to run the models.- And NVIDIA Omniverse, where robots can learn and refine their skills in simulated worlds.Read the press release to learn more: nvidianews.nvidia.com/news/robotics-industry-development-ai-autonomous-machines #OpenUSD #Robotics #COMPUTEX2024 #IsaacSim
Building Digital Twins of Foxconn’s Robotic Factories NVIDIA 2024-06-03 | Foxconn, the world's largest electronics manufacturer, is building robotic factories with @NVIDIAOmniverse and AI.These technologies streamline communication, optimize layouts, and accelerate robot training within digital twins of their factories. They also enhance operational efficiency, process optimization, and production capacity in factories from design to deployment.Learn more about Foxconn’s factory digital twin: blogs.nvidia.com/blog/foxconn-digital-twin-ai#OpenUSD#DigitalTwin#COMPUTEX2024
NVIDIA Omniverse Foundational Technology Montage | COMPUTEX 2024 Edition NVIDIA 2024-06-03 | @NVIDIAOmniverse is a development platform for virtual world simulation, combining real-time physically based rendering, physics simulation, and generative AI technologies. Based on OpenUSD, Omniverse-powered applications fundamentally transform complex 3D workflows, allowing individuals and teams to build unified tool and data pipelines and simulate large-scale, physically accurate virtual worlds for industrial and scientific use cases.Learn more about NVIDIA Omniverse: nvidia.com/en-us/omniverse#OpenUSD#3D#COMPUTEX2024
NVIDIA CEO Jensen Huang Keynote at COMPUTEX 2024 NVIDIA 2024-06-02 | NVIDIA founder and CEO Jensen Huang will deliver a live keynote address ahead of COMPUTEX 2024 on June 2 at 7 p.m. in Taipei, Taiwan, outlining what’s next for the AI ecosystem. Tune in to watch it live. nvda.ws/3UXATRe
Conduct AI-Powered, Photoreal Design Reviews With XR NVIDIA 2024-05-31 | Bridge the gap between manufacturers and consumers with full fidelity #XR experiences. Designing bespoke goods has become even easier with the ability to navigate complex design programs using natural language voice commands. Review changes to your design model in a full-fidelity, immersive XR environment. To learn more about the latest innovations in XR, review our NVIDIA On Demand library: nvda.ws/3x8qDfE
A New Era of Healthcare with AI | I AM AI NVIDIA 2024-05-31 | #AI is creating new possibilities in #healthcare, elevating the quality of care providers can deliver and giving the gift of time back to physicians to connect with patients. Learn how NVIDIA AI solutions are advancing medicine: nvda.ws/33EGX6m #IAMAI
NVIDIA Inception Startup Spotlight: Bria AI NVIDIA 2024-05-31 | Learn how Bria AI enables developers to create visual generative AI applications for enterprises, offering access to auxiliary models, control nets, adapters, and complementary pipelines.Learn more about the Inception Program for Startups: nvda.ws/4bwQflfLearn more about Bria AI: bria.ai
