In the rapidly evolving robotics and edge AI landscape, the ability to efficiently process and transfer sensor data is crucial. Many edge applications are moving away from single-sensor fixed-function solutions and in favor of diverse sensor arrays. These include vision, audio, temperature, force/torque, and communication sensors, IMUs, idaradar systems, ultrasounds, motors, and actuators.
]]>The introduction of the NVIDIA Jetson Orin Nano Super Developer Kit sparked a new age of generative AI for small edge devices. The new Super Mode delivered an unprecedented generative AI performance boost of up to 1.7x on the developer kit, making it the most affordable generative AI supercomputer. JetPack 6.2 is now available to support Super Mode for Jetson Orin Nano and Jetson Orin NX…
]]>Real-time AI at the edge is crucial for medical, industrial, and scientific computing because these mission-critical applications require immediate data processing, low latency, and high reliability to ensure timely and accurate decision-making. The challenges involve not only high-bandwidth sensor processing and AI computation on the hardware platform but also the need for enterprise-level AI…
]]>Note: As of January 6, 2025, VILA is now part of the Cosmos Nemotron VLM family. NVIDIA is proud to announce the release of NVIDIA Cosmos Nemotron, a family of state-of-the-art vision language models (VLMs) designed to query and summarize images and videos from physical or virtual environments. Cosmos Nemotron builds upon NVIDIA’s groundbreaking visual understanding research including VILA…
]]>NVIDIA SDKs have been instrumental in accelerating AI applications across a spectrum of use cases spanning smart cities, medical, and robotics. However, achieving a production-grade AI solution that can deployed at the edge to support human and machine collaboration safely and securely needs both high-quality hardware and software tailored for enterprise needs. NVIDIA is again accelerating…
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