NVIDIA Isaac AMR | End-to-End Autonomy Platform for Next Generation AMRs NVIDIA 2023-05-29 | Isaac AMR is an autonomy platform to simulate, validate, deploy, optimize and manage fleets of autonomous mobile robots for safely operating in large, highly dynamic, unstructured environments. It consists of edge-to-cloud software services and compute hardware combined with a set of reference sensors and robot hardware to accelerate development and deployment of AMRs, saving OEMs several years and millions of dollars. Read the blog hereblogs.nvidia.com/blog/2023/05/28/nvidia-isaac-amr-nova-orin-autonomous-mobile-robots
Unfamiliar Territory? LLM-based Road Rules Guide Simplifies Driving - DRIVE Labs Ep. 34 NVIDIA 2024-05-23 | Adapting driving behavior to new environments, customs, and laws is a long-standing challenge in autonomous driving. LLaDA (Large Language Driving Assistant) is an #LLM network that makes it easier to navigate in unfamiliar places by providing real-time guidance on regional traffic rules in different languages, for both human drivers and #autonomousvehicles. LLaDA will be powered by NVIDIA DRIVE Thor, which harnesses the new #generativeAI capabilities of NVIDIA’s Blackwell GPU architecture.00:00:12 - Introducing LLaDA00:00:36 - Multimodal neural interfaces integrate diverse types of data00:00:53 - LLaDA can rapidly adapt to local traffic rules and customs00:01:30 - The NVIDIA Riva speech SDK can process different languages00:01:58 - LLaDA can also be applied to AV motion planning00:02:28 - Accelerated by NVIDIA DRIVE Thor, built on the NVIDIA Blackwell architecture00:03:02 - Visit our GitHub page and check out the LLaDA paper at CVPR 2024Project page: boyiliee.github.io/lladaPaper: arxiv.org/abs/2402.05932 Watch the full series here: nvda.ws/3LsSgnHLearn more about DRIVE Labs: nvda.ws/36r5c6tFollow us on social: Twitter: nvda.ws/3LRdkSs LinkedIn: nvda.ws/3wI4kue#NVIDIADRIVE
NVIDIA Inception Startup Spotlight: Orbital Composites NVIDIA 2024-05-16 | Anil Kircaliali, Head of Automation at Orbital Composites, shares the company's vision to revolutionize manufacturing for advanced composites production on Earth and in space.Learn more about the Inception Program for Startups: nvda.ws/4bwQflfLearn more about Orbital Composites: orbitalcomposites.com
NVIDIA Inception Startup Spotlight: Minerva CQ NVIDIA 2024-05-15 | Cosimo Spera, CEO of Minerva CQ, explains how integrating human and artificial intelligence is crucial for delivering excellent customer service.Learn more about the Inception Program for Startups: nvda.ws/4bwQflfMinerva CQ: minervacq.com
Cerence and NVIDIA: Generative AI for Next-Generation In-Vehicle Experiences NVIDIA 2024-05-10 | See how Cerence is revolutionizing in-car experiences with generative AI. Cerence taps into cutting-edge NVIDIA AI technology to usher in a new era of intelligent vehicles. At the core of this innovation is the Cerence Automotive Large Language Model (CaLLM), seamlessly integrated with the NVIDIA DRIVE platform. This integration creates a sophisticated in-car assistant tailored for the automotive industry. It enhances voice-controlled navigation and enables natural conversations, making every journey more seamless and enjoyable.Learn more: nvda.ws/3WJ7Kuf
Healthcare Is Adopting Generative AI, Becoming One of the Largest Tech Industries NVIDIA 2024-04-30 | Kimberly Powell, NVIDIA’s vice president of healthcare and life sciences, explores the new era of #healthcare fueled by #generativeAI and accelerated computing — available anywhere — every cloud and in real time, on the edge. Healthcare digital assistants, digital surgery, and AI-powered drug discovery are no longer things of the future.
NVIDIA Grace CPU Superchip NVIDIA 2024-04-29 | The breakthrough CPU for the modern data center. nvidia.com/en-us/data-center/grace-cpu-superchip#GraceCPU
AI Factory for the New Industrial Revolution | NVIDIA GTC24 NVIDIA 2024-04-24 | Discover how NVIDIA technologies are being used to build the AI factories that power the new era of accelerated computing and real-time #generativeAI. nvidia.com/en-us/data-center/technologies/blackwell-architecture/?ncid=so-yout-933632 #GTC24
AI Enhanced Broadcast Interviews with Quicklink - NVIDIA Partner Showcase Series NVIDIA 2024-04-08 | Richard Rees, CEO at Quicklink discusses how Cre8 integrates NVIDIA Maxine #AI features to improve remote guest interviews in broadcast productions.Learn more about NVIDIA Maxine: nvda.ws/4cwJSzs
Powering the New Era of Computing | NVIDIA GTC 2024 | Official Keynote Outro NVIDIA 2024-04-04 | Take a tour of the latest data center technologies that are powering the new era of accelerated computing and #generativeAI with unparalleled performance, efficiency, and scale. #GTC24Learn more about the NVIDIA Blackwell Architecture: nvidia.com/en-us/data-center/technologies/blackwell-architecture/?ncid=so-yout-795864
Live From GTC: A Conversation With Slalom NVIDIA 2024-03-27 | In this insightful discussion with Brad Nemire, Sr. Manager of Developer Communications at NVIDIA and Marty Young, Managing Director of Global Data & AI at Slalom, they delve into how Slalom partnered with NVIDIA in transforming Kawasaki Heavy Industries’ track maintenance and inspection capabilities with the help of NVIDIA cuOpt and Orin. They also discuss how this partnership drives generative AI prototypes into enterprise-scale products and improves customer experiences.Read the Kawasaki case study: nvda.ws/49bZQfGLearn more about cuOpt: nvda.ws/3IXkmWK#GTC24 #RouteOptimizaion #GenerativeAI
Fusing Real-Time AI With Digital Twins NVIDIA 2024-03-26 | Discover the AI that'll drive the next phase of industrial automation—how it'll be developed, refined, and first deployed in simulation in digital twins. Complex AI is being tested in real time inside an Omniverse digital twin of a warehouse, showcasing AI that's been developed inside this digital twin. It’s a workflow that developers can use to build AI gyms to train and evaluate complex AI, all in real time within the digital twin. This is something that otherwise would be incredibly costly or impossible to run in the real world—particularly for heavy industry, factories, and supply chains. This demo leverages NVIDIA Metropolis, Omniverse, CuOpt, and Isaac for robot perception to create an end-to-end concept of how to fully automate logistically complex co-bot spaces. Read the blog: blogs.nvidia.com/blog/ai-digital-twins-industrial-automation-demo#GTC24 #DigitalTwin #AI #cuOpt #NVIDIAOmniverse #NVIDIAIsaac
Speech Recognition with Speechmatics - NVIDIA M&E Partner Showcase NVIDIA 2024-03-26 | Ricardo Herreros-Symons, Founding Member at Speechmatics discusses their highly accurate #audio-to-text transcription services built on top of the #NVIDIAH100. Learn more about NVIDIA solutions for Live Media: nvda.ws/3p0uRSK
Automotive Update from GTC 2024 NVIDIA 2024-03-23 | The latest advancements in automotive technology were on display at GTC 2024. Highlights included: - Founder and CEO Jensen Huang introduced the highly-anticipated Blackwell platform, which will power a new era of computing. The Blackwell GPU architecture is being integrated into DRIVE Thor to enable generative AI applications and immersive in-vehicle experiences. Large language models will run in the car, enabling an intelligent copilot that understands and speaks in natural language. - BYD, the world's largest EV maker, is adopting NVIDIA DRIVE Thor as the #AI brain of their future fleets. In addition, BYD will use NVIDIA’s AI infrastructure for cloud-based AI development and training, along with NVIDIA Isaac and NVIDIA Omniverse to develop tools and applications for virtual factory planning and retail configurators.- On the show floor, attendees saw the latest NVIDIA-powered vehicles on display, including Lucid Air, Mercedes-Benz Concept CLA Class, Nuro R3, Polestar 3, Volvo EX90, WeRide Robobus, and an Aurora-powered truck. Additionally, NVIDIA showcased the wide adoption of NVIDIA DRIVE, displaying ECUs (electronic control units) from a variety of partners, from Lenovo to Zeekr.- The conference featured sessions and panels from NVIDIA automotive partners including Ford, GM, Geely, JLR, and many more, covering topics from data center applications to developing safe AVs. Learn how to watch these sessions on-demand at nvidia.com/gtc#GTC24
SoftBank Redefines Regional Data Center for AI and 5G NVIDIA 2024-03-22 | Using the Arm-based NVIDIA Grace Hopper superchip, Japanese telecommunications provider SoftBank is building a new class of data center with a common platform to provide high performance for both AI and 5G RAN workloads. Learn more: nvidianews.nvidia.com/news/softbank-telecom-data-centers-grace-hopper
Live From GTC: A Conversation With Greg Estes NVIDIA 2024-03-20 | Tune in to this conversation with NVIDIA's VP of Developer Programs and Corporate Marketing Greg Estes, on the GTC 2024 experience—back in person for the first time in 5 years. From Jensen Huang's live onstage keynote to the expansion of the GTC community and NVIDIA partner ecosystem, Greg shares some of the event highlights that have transformed GTC to become the world's most important conference for #AI.#GTC24
Live From GTC: A Conversation With Refik Anadol NVIDIA 2024-03-20 | Learn about Refik Anadol's technical process to curate his latest AI Art installation "Large Nature Model", generated from over half a billion ethically sourced images - working with Getty Images, and the NVIDIA Picasso platform.In this insightful discussion with NVIDIA's Richard Kerris, they delve into the collaboration between artists, researchers, and businesses to foster a culture of innovation and creativity. Discover how we're entering a new era of interacting with #AI models to expand creative possibilities.#GTC24
Next-Gen Telco: The Power of Generative AI NVIDIA 2024-03-19 | NVIDIA and our ecosystem of partners are supporting the #telecom industry's move to generative #AI with a growing number of solutions, covering use cases from customer experiences to network and RAN operations.Learn more about AI in telecom operations: nvidia.com/telco-ai
Accelerate Production-Ready AI with NVIDIA AI Enterprise NVIDIA 2024-03-19 | Solve new challenges while increasing operational efficiency with NVIDIA AI Enterprise, an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade co-pilots and other generative AI applications. Easy-to-use microservices provide optimized model performance with enterprise-grade security, support, and stability to ensure a smooth transition from prototype to production for enterprises that run their businesses on AI.Learn more: nvidia.com/en-us/data-center/products/ai-enterprise/?ncid=so-yout-110891Try NVIDIA AI Enterprise for free: API catalog: build.nvidia.com/explore/discover?ncid=so-yout-728251LaunchPad: nvidia.com/en-us/launchpad/ai/?ncid=so-yout-92333190-Day Evaluation: enterpriseproductregistration.nvidia.com/?LicType=EVAL&ProductFamily=NVAIEnterprise&ncid=so-yout-701253
Generative AI Microservices for Virtual Screening NVIDIA 2024-03-19 | Virtual screening for new medicines is a computationally intractable problem. Existing techniques can only scan billions of compounds and require days on thousands of standard compute nodes. NVIDIA BioNeMo microservices enable a new generative screening paradigm. Using a generated 3D protein structure as a guide, NVIDIA MolMIM generates, optimizes, and screens high-quality candidate molecules in a matter of minutes.Get Started: www.build.nvidia.com/explore/healthcareKey Points:- BioNeMo allows us to build a virtual screening pipeline with microservices: protein folding, molecule generation, and docking.- MolMIM performs multi-parameter optimization to guide molecule generation.- MolMIM intertwines physics and generative AI (physics: docking, structure-guided) to guide the generative model.- BioNeMo's microservices allow us to architect this incredibly powerful application very simply.#generativeAI #DrugDiscovery #VirtualScreening #GTC24
Transform Your Business with Route Optimization NVIDIA 2024-03-19 | Logistics routing problems have a profound impact on industries worldwide, influencing supply chain efficiency and operational costs.Learn how cuOpt is reinventing logistics management and operations research by optimizing operations, reducing costs, cutting carbon emissions, and enhancing customer satisfaction.Learn more about cuOpt:nvda.ws/49YJdVJExplore how Kawasaki is using cuOpt:nvda.ws/3TH7KrNRead how cuOpt is transforming route optimization:nvda.ws/4cnQrEG#routeoptimization #NVIDIAcuOpt #fleetmanagement #lastmiledelivery
NVIDIA Robotics: A Journey From AVs to Humanoids NVIDIA 2024-03-19 | See NVIDIA’s journey from pioneering advanced autonomous vehicle hardware and simulation tools to accelerated perception and manipulation for autonomous mobile robots and industrial arms, culminating in the next wave of cutting-edge AI for humanoid robots. Experience our journey from simulation to real-world deployment, showcasing our commitment to innovation and technological excellence.Learn more about Project GR00T: nvda.ws/43l1WZn#airobotics #industrialrobotics #humanoidrobotics #robotics #GTC24
I Am AI | NVIDIA GTC 2024 | Official Keynote Intro NVIDIA 2024-03-19 | Discover how #AI is generating medical miracles, giving us a new perspective on the stars, and transforming our everyday lives.Read about our #GTC24 keynote and announcements: nvda.ws/3Vn5RTe
Scale AI Applications to the Data Center and Cloud with NVIDIA Nsight Systems NVIDIA 2024-03-18 | ...
The Generative AI In-Vehicle Experience Powered by NVIDIA DRIVE NVIDIA 2024-03-18 | Generative AI enhances driver and passenger experiences inside the car. Your vehicle's avatar alerts you about unique obstacles, offers diverse camera perspectives for better situational awareness, interprets signs, manages HOV lane fees, and can even communicate in multiple languages with domain-specific knowledge.#GTC24 #GenAI #AI #RAGAI #LLM
NVIDIA AI Tools for Autonomous Vehicle Developers NVIDIA 2024-03-18 | NVIDIA showcases how AI and generative AI tools empower autonomous vehicle developers, not only in managing datasets, but also in scaling test scenarios to encounter a wide range of challenges before hitting the road.- Developing an Autonomous Vehicle is a very complex task with many different elements, from managing your dataset to validation and testing the driving behaviors.- We can use AI to help review and curate sensor datasets.- We can use generative AI to not only generate a simulation scenario but also scale that scenario to many different variants.- These generated simulation scenarios are complete with synchronized sensor data and ground-truth data like occupancy voxels.- These simulation scenarios can be used for either training or validation.#GTC24 #NVIDIA #AI #NVIDIADRIVE
NVIDIA Isaac Perceptor 3D Surround Vision NVIDIA 2024-03-18 | Video Overview:NVIDIA Isaac Perceptor, optimized on Jetson Orin, uses multiple cameras for 3D surround perception to detect obstacles like low-lying hazards or overhangs, which are invisible to standard 2D lidar. Using robust AI-based depth estimation, GPU-Accelerated 3D reconstruction, and semantic segmentation, the mobile robot can work more safely alongside humans. Key Points: - Isaac Perceptor is a live multi-camera, surround visual perception running on Jetson.- Isaac Perceptor is GPU-accelerated and optimized on Orin, leaving headroom for adding other SW such as navigation stack.- The traditional approaches have predominantly utilized 2D lidars, which offer limited functionality, or 3D lidars, known for their prohibitive costs. Isaac Perceptor revolutionizes this by offering an affordable, camera-based solution that doesn't compromise on capability. Also, brings visual AI semantics for autonomy.Learn more about NVIDIA Isaac Perceptor: nvda.ws/43nAZUY#autonomousmobilerobots #Robotics #AI #GTC24
Supercharge Software Delivery With Event-Driven RAG NVIDIA 2024-03-18 | Video Overview:Enterprise applications are composed of many software containers, each involving a complex set of dependencies. To triage a container for vulnerabilities, hundreds of pieces of information need to be retrieved, understood, and integrated—a tedious process that can take days.This demo looks at how we use generative AI to shorten the process to mere seconds. This is AgentMorpheus, an event-driven, retrieval-augmented generation application built using NVIDIA NIM inference microservices, NeMo Retriever, and the Morpheus SDK.Key Points:Enterprise software is very complexEnsuring software security is time-consuming and repetitiveUsing NVIDIA-based RAG agents enables faster, more secure software vulnerability analysis, moving from days to secondsLearn more: nvda.ws/3TDF5ov#cybersecurity #generativeAI #GTC24 #NVIDIA #NeMo #NVIDIANIM #NVIDIANeMo #RAG #RAGAI
NVIDIA Omniverse Cloud APIs on Microsoft Azure NVIDIA 2024-03-18 | @Microsoft and NVIDIA are helping the global 46 trillion dollar manufacturing industry digitalize their processes.@NVIDIAOmniverse Cloud APIs on @MicrosoftAzure bring data interoperability, collaboration, and physically-based visualization to software tools for designing, building, and operating industrial digital twins.To build an operational digital twin, designers first design, engineer, and simulate products and manufacturing processes using @HexagonABGlobal Nexus.Facility planners use Hexagon's scanners to capture the real world and render in Reality Cloud Studio.Engineers work in @RockwellautomationInc Emulate3D, to simulate production systems before deploying to the physical factory. Then with Omniverse APIs, data from each of these applications flows seamlessly into a unified Omniverse digital twin in Microsoft Power BI, where teams can see their 3D data in context. When the factory comes online, IoT data is live-linked to the Omniverse digital twin in Power BI. And when connected to Microsoft Copilot, factory operators can gain insights to their production data using natural language. Together, Microsoft and NVIDIA are bringing AI and collaboration to the next era of industrial digitalization.Learn more about Omniverse Cloud APIs on Azure: nvda.ws/3vhUhyj #OpenUSD #3D #NVIDIAOmniverse #digitaltwin #GTC24
Accelerating Data Center Design With Digital Twins NVIDIA 2024-03-18 | NVIDIA builds the world's most advanced AI supercomputers. We start by creating their digital twins in @NVIDIAOmniverse . We're retrofitting an existing data center, so @KineticVisionUS helps generate a 3D mesh from @NavVis-tech Lidar scanners and uses @prevu3d's point cloud processing tool to clear the existing racks, leaving an empty data hall.In @cadencedesignsystems Reality Digital Twin Platform, powered by NVIDIA Omniverse APIs, our engineers unify the multi-CAD facility and rack datasets and visualize in full physical accuracy.To optimize network topology and train our operators, we use NVIDIA Air network simulation platform connected to Patch Manager's cabling layout tool with Omniverse APIs, letting us bring this data into the Omniverse Digital Twin in Cadence's platform.With Cadence's solvers, accelerated by NVIDIA Modulus APIs for Physics-ML workloads, and Grace Hopper, we can then simulate performance of the air and new liquid cooling systems from partners like @Vertiv and @schneiderelectric.NVIDIA and our ecosystem of partners are bringing-up new AI factories faster than ever with NVIDIA Omniverse and AI.Read the blog to learn more: nvda.ws/4ae0vOl Learn more about Omniverse Cloud APIs: nvda.ws/3vhUhyj #OpenUSD #3D #NVIDIAOmniverse #GTC24
GTC March 2024 Keynote with NVIDIA CEO Jensen Huang NVIDIA 2024-03-18 | Watch NVIDIA CEO Jensen Huang’s GTC keynote to catch all the announcements on AI advances that are shaping our future.Dive into the announcements and discover more content at nvidia.com/gtc. Follow NVIDIA on X (formerly Twitter): twitter.com/NVIDIAGTCtwitter.com/NVIDIA
Always Available, Real-Time Generative AI Healthcare Agents NVIDIA 2024-03-18 | Generative AI has unlocked the ability to create helpful virtual AI agents with amazing skills to teach, assist, predict, and protect. For AI agents to truly connect with humans—they need to be seamless, personalized, knowledgeable, conversationally fluid, and empathetic. Healthcare is immensely complex and personal—whether for a patient or a doctor. Meet this AI agent developed in partnership with Hippocratic AI, built with Hippocratic AI’s state-of-the-art technology—from automatic speech recognition to their one-trillion-parameter LLM constellation to text-to-speech—with NVIDIA ACE microservices. To learn more, watch the Hippocratic AI GTC Talk: nvidia.com/gtc/session-catalog/?tab.allsessions=1700692987788001F1cG&search=Munjal%20Shah#/session/1696437006794001DWEBKey Points:- You are experiencing LLMs powering conversational AI workflows brought together with state-of-the-art AI-powered, real-time digital human technologies.- Seamless, personalized conversation is made possible by a low-latency experience starting with automatic speech recognition to large language model retrieval to text-to-speech to audio-to-animation to streaming on an iPad, and all in less than one second.- Hippocratic AI created a safety-focused, LLM-powered solution trained in partnership with their 27 health systems. - NVIDIA ACE offers AI models and microservices such as NVIDIA Audio2Face and NVIDIA Riva Automatic Speech Recognition.#GenerativeAI #DigitalAvatars #DigitalHumans #GTC24
Meet a Factory Digital Twin From Wistron NVIDIA 2024-03-18 | To meet the demand for NVIDIA accelerated computing, Wistron, one of our leading manufacturing partners, is building digital twins of NVIDIA DGX and HGX factories using custom software developed with @NVIDIAOmniverse SDKs and APIs.Testing and optimizing layouts in this physically accurate digital environment increased worker efficiency by 51%.In operation, the digital twin technology helps Wistron rapidly test new layouts to accommodate new processes or improve operations in the existing space and monitor real-time operations using live IoT data from every machine on the production line. This ultimately enabled Wistron to reduce end-to-end production process times by 50% and defect rates by 40%.With NVIDIA AI and Omniverse, NVIDIA's global ecosystem of partners is building a new era of accelerated, AI-enabled digitalization.Learn more about Omniverse Cloud APIs: nvda.ws/3vhUhyj #OpenUSD #3D #NVIDIAOmniverse #GTC24 #NVIDIA
Siemens Teamcenter X Powered by NVIDIA Omniverse APIs NVIDIA 2024-03-18 | @Siemens is driving a new era of industrial digitalization with @NVIDIAOmniverse and generative AI integration across the Siemens Xcelerator portfolio.Customers can bring digital twins and generative AI tools into their product lifecycle management (PLM) workflows. They can also use immersive visualization capabilities to design, manufacture, and operate products.Teamcenter X is a powerful PLM software that enables companies to plan, develop, and deliver products in a secure and scalable environment. With the integration of NVIDIA AI and Omniverse technologies into Teamcenter X, Siemens is taking the next step in transforming how products are designed and manufactured. Learn more: nvda.ws/3TjgvI3 See how NVIDIA and Siemens are working together to unlock industrial digitalization: nvda.ws/4awAcne#OpenUSD #3D #NVIDIAOmniverse #GTC24 #NVIDIA
Develop 3D Product Configurators With Generative AI and OpenUSD NVIDIA 2024-03-18 | Developers can easily power next-generation 3D product configurators to enhance customers’ shopping experiences, utilizing Universal Scene Description (#OpenUSD) and @NVIDIAOmniverse Cloud APIs. Learn more about Omniverse Cloud APIs: nvda.ws/3vhUhyj #3D #NVIDIAOmniverse #GTC24
NVIDIA Omniverse Foundational Technology Montage I GTC Spring 2024 Edition NVIDIA 2024-03-18 | @NVIDIAOmniverse is a platform of APIs, SDKs, and services that enable developers to easily integrate Universal Scene Description (OpenUSD) and RTX rendering technologies into existing software tools and simulation workflows for building AI systems.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:nvda.ws/3veFRyP #OpenUSD #3D #NVIDIAOmniverse #GTC24
Autonomous Vehicle Sensor Simulation, Powered by Omniverse Cloud APIs NVIDIA 2024-03-18 | See how Foretellix leverages #NVIDIAOmniverse Cloud APIs to generate high-fidelity sensor simulations for #autonomousvehicle development.Learn more: blogs.nvidia.com/blog/omniverse-cloud-apis#ai #GTC24
NVIDIA CorrDiff: Resolving Extreme Weather Events With Generative AI NVIDIA 2024-03-18 | NVIDIA's Earth-2 Inference service is revolutionizing extreme weather forecasting by enabling users to combine global medium-range AI weather prediction models like NVIDIA’s FourCastNet with generative AI super-resolution / downscaling models like NVIDIA’s CorrDiff. This innovative approach enables the rapid exploration of numerous high-resolution weather forecast scenarios, providing decision-makers with a detailed understanding of a storm's potential impacts. By empowering proactive strategies, this groundbreaking technology aims to minimize the loss of life and property damage caused by extreme weather events.Video Outline:As the earth’s climate changes, AI-powered weather forecasting is allowing us to more accurately predict and track severe storms like Super-Typhoon Chanthu which caused widespread damage in Taiwan, the Philippines, China, and Japan in 2021. Current AI forecast models can accurately predict the track of storms, but they are limited to 25-kilometer resolution, which can miss important details. NVIDIA's CorrDiff is a revolutionary new generative model trained on high-resolution radar-assimilated WRF weather forecasts and ERA5 reanalysis data. Using CorrDiff, extreme events like Chanthu can be super-resolved from 25km to 2km resolution, with 1,000 times the speed and 3,000 times the energy efficiency of conventional weather models. By combining the speed and accuracy of NVIDIA's weather forecasting model FourCastNet and generative AI models like CorrDiff, we can explore hundreds or even thousands of kilometer-scale regional weather forecasts to provide a clear picture of the best, worst, and most likely impacts of a storm. This wealth of information can help minimize loss of life and property damage. Today, CorrDiff is optimized for Taiwan. But soon, generative super-sampling will be available as part of the NVIDIA Earth-2 Inference Service for many regions across the globe.NVIDIA’s Earth-2 Service consists of cloud-based building blocks enabling weather and climate practitioners to benefit from the latest advances in accelerated computing, AI, and visualization. The platform consists of four independent services: - Inference using AI-based models for global forecasting such as NVIDIA’s FourCastNet and regional downscaling using generative super-resolution models like NVIDIA’s CorrDiff- Simulation: running GPU-accelerated process-based simulation in the cloud#Earth2 #Inference #AI #Forecasting #Regional #CorrDiff #FourCastNet #DataFederation #Omniverse #SuperResolution #Downscaling #GTC24- Data Federation: serving weather and climate data from different sources, including static archives, AI-based inference results, or numerical simulation results- Visualization: cloud-based interactive visualization of weather/climate dataKey Points:- Services of the Earth-2 platform: inference, simulation, visualization, data federation.- All services are optimized for NVIDIA AI Enterprise platform, running on heterogeneous clouds.- Service APIs will be available after GTC which will enable ISVs to leverage these services within their offerings. - We are working with the weather/climate community to bring their tools to the NV platform and make it accessible as services.
NVIDIA Inception VC Alliance Spotlight: Mayfield NVIDIA 2024-02-29 | Gamiel Gran, CCO of Mayfield, and a member of the NVIDIA VCA program shares how NVIDIA’s startup program collaborates with Mayfield to enhance deal flow and connect with startups. Learn more about the:NVIDIA VC Alliance Program (for VCs): nvda.ws/3V4LdrbNVIDIA Inception Program (for Startups): nvda.ws/4bW0Cjm
Self-Supervised Learning to Reconstruct Dynamic Scenarios at Scale - NVIDIA DRIVE Labs Ep. 33 NVIDIA 2024-02-28 | #Autonomousvehicle #simulation is effective only if it can accurately reproduce the real world. The need for fidelity increases—and becomes more challenging to achieve—as scenarios become more dynamic and complex. Watch the latest #DRIVELabs to learn about EmerNeRF, a method for reconstructing dynamic driving scenarios. EmerNeRF builds upon NeRF (Neural Radiance Field) – which uses many 2D images to reconstruct 3D scenes – and extends it with self-supervised learning to accurately reconstruct dynamic scenarios and obtain labels for dynamic scenarios at scale. Timestamp:00:00:00 - Scaling diverse data in AV perception00:00:27 - Introducing EmerNeRF, a self-supervised learning method00:00:49 - Reconstructing scenarios into static, dynamic, and flow fields00:01:40 - Lifting 2D foundation model features into 4D00:02:15 - Using vision-language models for scene segmentations00:02:40 - Dynamic scenario reconstruction at scale00:03:02 - To learn more, visit our GitHub project page and blogProject page: emernerf.github.ioPaper: arxiv.org/abs/2311.02077Tech blog: developer.nvidia.com/blog/reconstructing-dynamic-driving-scenarios-using-self-supervised-learningWatch the full series here: nvda.ws/3LsSgnHLearn more about DRIVE Labs: nvda.ws/36r5c6tFollow us on social: Twitter: nvda.ws/3LRdkSs LinkedIn: nvda.ws/3wI4kue#NVIDIADRIVE
NVIDIA GTC 2024 Keynote Teaser NVIDIA 2024-02-16 | Prepare to be amazed as NVIDIA CEO Jensen Huang takes center stage at the SAP Center for #GTC24. Join us March 18 for a groundbreaking keynote, where Jensen will unveil the #AI advances that are shaping our future across industries. nvda.ws/49E4HqF
Enable Multi-Application Workflows With NVIDIA RTX 2000 Ada Generation NVIDIA 2024-02-15 | From concept to CAD design, to final renderings, the new NVIDIA RTX 2000 Ada Generation, with 16GB of graphics memory, allows for multiple applications to be run simultaneously in a typical designer workflow. nvidia.com/rtx-2000
Eos: The Supercomputer Powering NVIDIA AIs Breakthroughs NVIDIA 2024-02-15 | People are changing the world with #generativeAI, from drug discovery to chatbots to autonomous machines and beyond. To achieve these breakthroughs, they need an AI factory - a purpose-built AI engine that's always available and can help ramp their capacity to build AI models at scale. Enter Eos.An extremely large-scale NVIDIA DGX SuperPOD, Eos is where NVIDIA developers create their leading-edge AI innovations using accelerated computing infrastructure and fully optimized software. Eos is built with 576 #NVIDIADGX H100 systems, NVIDIA Quantum-2 InfiniBand networking and software, providing 18.4 exaflops of AI performance and featuring a total of 4,608 H100 GPUs.Ranked #9 in the TOP500 list of fastest supercomputers, Eos is the apotheosis of NVIDIA's ongoing commitment to pushing the boundaries of AI technology and infrastructure.Learn more: nvda.ws/3wegRbl#datacenter
Digitalization: A Game Changer for the Auto Industry NVIDIA 2024-02-14 | NVIDIA partners describe how digitalization is redefining productivity, cost-efficiency, and innovation in the automotive industry. nvda.ws/3SDyQPJ
Accelerating AI and VFX Workloads with CoreWeave and NVIDIA NVIDIA 2024-02-01 | Explore how CoreWeave, a specialized cloud provider, delivers a massive scale of NVIDIA GPUs, including NVIDIA L40S GPUs and NVIDIA H100 Tensor Core GPUs, on top of the industry’s fastest and most flexible infrastructure to accelerate the world’s most challenging workloads in partnership with NVIDIA.Connect with CoreWeave at GTC, the conference for the era of AI: coreweave.com/events/coreweave-gtc-2024
Reinventing Retail with AI | I AM AI NVIDIA 2024-01-26 | Learn more about how #AI is reinventing retail: nvidia.com/retail#IAMAI#Retail
NVIDIA DRIVE Partners Showcase Cutting-Edge Innovations in Automated and Autonomous Driving NVIDIA 2024-01-19 | NVIDIA DRIVE partners – including Mercedes-Benz, Volvo Cars, Polestar, Pebble, Luminar, and more – discuss the latest #AI innovations for automated and autonomous driving, the importance of in-vehicle compute, and the role of simulation in developing safe #autonomousvehicles. #CES2024Learn about NVIDIA DRIVE solutions: nvda.ws/3S2g5FCLearn about NVIDIA DRIVE partners: nvda.ws/3SqyGMZ
Generative AI for Drug Discovery and Design NVIDIA 2024-01-08 | NVIDIA #BioNeMo, now features more than a dozen #generativeAI models, including Recursion’s Phenom-Beta model for target and hit discovery, accessed through cloud APIs for inference and customization.Learn more about NVIDIA BioNeMo: nvda.ws/3RI6rro
NVIDIA Special Address at CES 2024 NVIDIA 2024-01-08 | Watch the NVIDIA Special Address at CES and discover the latest innovations for gaming, creating, generative AI, and robotics.
From Sedans to SUVs: Ensuring Precision with Dynamic View Synthesis - NVIDIA DRIVE Labs Ep. 32 NVIDIA 2023-12-14 | Car manufacturers are incorporating automated and autonomous features into their fleets of vehicles. Challenges emerge when extending this technology to different models. For instance, deploying a perception model like bird’s eye view segmentation, initially designed with data from a sedan fleet, may lead to reduced accuracy on an SUV due to variations in camera perspectives. In this edition of #NVIDIA #DRIVELabs, we delve into viewpoint robustness and explore how recent advancements in Dynamic View Synthesis provide a remedy for such issues.00:00:30 - Viewpoint robustness and how recent advances offer a solution00:01:18 - Dynamic View Synthesis eliminates viewpoint challenges00:01:34 - Multi-view consistency between different viewpoints00:02:06 - Neural Radiance Fields don’t work well for viewpoint robustness00:02:16 - DNN trained to estimate scene depth from single image00:03:09 - Deploy perception models at scale00:03:19 - To learn more, visit our project page and GitHubGitHub: nvda.ws/3uYJYihProject page: nvda.ws/3NsoXmmTech blog: nvda.ws/41hROj3Watch the full series here: nvda.ws/3LsSgnHLearn more about DRIVE Labs: nvda.ws/36r5c6tFollow us on social: Twitter: nvda.ws/3LRdkSs LinkedIn: nvda.ws/3wI4kue#NVIDIADRIVE
Genentech and NVIDIA Revolutionize Drug Discovery with Generative AI and Lab in the Loop NVIDIA 2023-11-21 | Discover how Genentech, a pioneer in biotechnology, and NVIDIA, a leader in artificial intelligence, are collaborating to accelerate #drugdiscovery and development with generative AI. By optimizing its lab in a loop iterative framework with #generativeAI, Genentech is bridging the gap between lab experiments and computational algorithms. The impact is new molecular designs that can advance medicine and bring novel therapies to patients faster. nvidia.com/en-us/clara/biopharmaSpeakers:Aviv Regev | EVP, Genentech Research and Early DevelopmentJohn Mariono | SVP, Computational Sciences at gRED
