NVIDIA TAO is a framework designed to simplify and accelerate the development and deployment of AI models. It enables you to use pretrained models, fine-tune them with your own data, and optimize the models for specific use cases without needing deep AI expertise. TAO integrates seamlessly with the NVIDIA hardware and software ecosystem, providing tools for efficient AI model training…
]]>An exciting breakthrough in AI technology—Vision Language Models (VLMs)—offers a more dynamic and flexible method for video analysis. VLMs enable users to interact with image and video input using natural language, making the technology more accessible and adaptable. These models can run on the NVIDIA Jetson Orin edge AI platform or discrete GPUs through NIMs. This blog post explores how to build…
]]>NVIDIA DeepStream is a powerful SDK that unlocks GPU-accelerated building blocks to build end-to-end vision AI pipelines. With more than 40+ plugins available off-the-shelf, you can deploy fully optimized pipelines with cutting-edge AI Inference, object tracking, and seamless integration with popular IoT message brokers such as REDIS, Kafka, and MQTT. DeepStream offers intuitive REST APIs to…
]]>NVIDIA Metropolis Microservices for Jetson has been renamed to Jetson Platform Services, and is now part of NVIDIA JetPack SDK 6.0. Building vision AI applications for the edge often comes with notoriously long and costly development cycles. At the same time, quickly developing edge AI applications that are cloud-native, flexible, and secure has never been more important. Now…
]]>NVIDIA TAO Toolkit provides a low-code AI framework to accelerate vision AI model development suitable for all skill levels, from novice beginners to expert data scientists. With the TAO Toolkit, developers can use the power and efficiency of transfer learning to achieve state-of-the-art accuracy and production-class throughput in record time with adaptation and optimization.
]]>Vision Transformers (ViTs) are taking computer vision by storm, offering incredible accuracy, robust solutions for challenging real-world scenarios, and improved generalizability. The algorithms are playing a pivotal role in boosting computer vision applications and NVIDIA is making it easy to integrate ViTs into your applications using NVIDIA TAO Toolkit and NVIDIA L4 GPUs.
]]>Over a billion cameras are deployed in the most important spaces worldwide and these cameras are critical sources of video and data. It is becoming increasingly important to understand how to harness this data to make our spaces and processes more efficient and safer. Lumeo, an NVIDIA Metropolis partner, provides a ‘no-code’ video analytics platform that enables developers and solution…
]]>Vision AI-powered applications are exploding in terms of value and adoption across industries. They’re being developed both by sophisticated AI developers and those totally new to AI. Both types of developers are being challenged with more complex solution requirements and faster time to market. Building these vision AI solutions requires a scalable, distributed architecture and tools that…
]]>NVIDIA announced the general availability of the NVIDIA DeepStream SDK 6.2, an AI analytics toolkit for building high-performance video analytics and streaming applications. The update adds new features including enhanced multi-object trackers, support for new sensors, integration with REST APIs, updated Graph Composer, and enterprise-grade support through NVIDIA AI Enterprise.
]]>A fundamental shift is currently taking place in how AI applications are built and deployed. AI applications are becoming more sophisticated and applied to broader use cases. This requires end-to-end AI lifecycle management—from data preparation, to model development and training, to deployment and management of AI apps. This approach can lower upfront costs, improve scalability…
]]>The latest version of the NVIDIA TAO Toolkit 4.0 boosts developer productivity with all-new AutoML capability, integration with third-party MLOPs services, and new pretrained vision AI models. The enterprise version now includes access to the full source code and model weights for pretrained models. The toolkit enables efficient model training for vision and conversational AI.
]]>Bluecity, an NVIDIA Metropolis partner, recently launched a new traffic management solution for safer roads and shorter commutes. The technology combines vision AI and lidar technology to better understand round-the-clock traffic data, providing information that could help city planning departments identify problem intersections, reduce congestion, plan smarter, and lower emissions.
]]>A major contributor to CO2 emissions in cities is traffic. City planners are always looking to reduce their carbon footprint and design efficient and sustainable infrastructure. NVIDIA Metropolis partner, MarshallAI, is helping cities improve their traffic management and reduce CO2 emissions with vision AI applications. MarshallAI’s computer vision and AI solution helps cities get closer to…
]]>The newly expanded NVIDIA Metropolis program offers you access to the world’s best development tools and services to reduce the time and cost of managing your vision-AI deployments. Join this developer meetup (dates and times below) with NVIDIA experts to learn five ways the NVIDIA Metropolis program will grow your vision AI business and enhance your go-to-market efforts?. In this meetup…
]]>Consumer Electronics Show (CES), an annual trade show organized by the Consumer Technology Association, brings together thought leaders, products, and technologies working to transform traffic and roadways, an important cross-section of daily life. With limited roadways and growing populations, cities increasingly look to automation, and simulation for managing traffic and constrained…
]]>The Intelligent Transportation Society (ITS) of America annual conference brings together a community of intelligent transportation professionals to network, educate others about emerging technologies, and demonstrate innovative products driving the future of efficient and safe transportation. As cities and DOT teams struggle with constrained roadway infrastructure and the need to build safer…
]]>What do a factory floor, retail store, and major roadway have in common? They are a few examples of valuable and constrained infrastructure that need to be optimized. Manufacturers aim for early detection of defects in the assembly process. Retailers seek to better understand their customer journey and deliver more frictionless checkout experiences. Traffic planners look to reduce traffic gridlock.
]]>NVIDIA Metropolis partner Sighthound—formerly Boulder AI—is helping cities improve traffic management and pedestrian safety with software and hardware solutions to bring cloud-native solutions for edge data intelligence. To design efficient, equitable, and sustainable infrastructure, city planners rely on accurate roadway usage data. Sighthound builds edge-enabled…
]]>Automation and monitoring of industrial assets, systems, processes, and environments are increasingly important across manufacturing industries, including transportation, electronics, mining, and textiles. In order to implement safer and more productive practices, companies are automating their manufacturing processes with IoT sensors. IoT sensors generate vast amounts of data that…
]]>In an increasingly complex world, the need to automate and improve operational efficiency and safety in our physical spaces has never been greater. Whether it is streamlining the retail experience, tackling traffic congestion in our growing cities, or improving productivity in our factories—the power of AI and edge computing is critical. Video cameras are one of the most important IoT…
]]>Developers can use the new viisights wise application powered by GPU-accelerated AI technologies to help organizations and municipalities worldwide avoid operational hazards and risk in their most valuable spaces. With conventional imaging and analytics solutions, AI vision is used to detect the presence of people and objects and their basic attributes to better understand how a physical…
]]>INEX Technologies, an NVIDIA Metropolis partner, designs, develops, and manufactures comprehensive hardware and software solutions for license plate recognition and vehicle identification. The INEX RoadView solution provides automatic axle counting, vehicle classification, as well as lane zone tracking and triggering using LPR and RoadView cameras. RoadView video-based recognition eliminates…
]]>Nota, an NVIDIA Metropolis partner, is using AI to make roadways safer and more efficient with NVIDIA’s edge GPUs and deep learning SDKs. Nota developed a real-time traffic control solution that uses image recognition technology to identify traffic volume and queues, analyze congestion, and optimize traffic signal controls at intersections. Using the DeepStream SDK off-the-shelf…
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