On December 17, 2025, at 9:00 am PST (6:00 am EST), Alliance Member companies e-con Systems, Lattice Semiconductor, and NVIDIA will deliver a joint webinar “Real-Time AI Sensor Fusion with e-con Systems’ Holoscan Camera Solutions using Lattice FPGA for NVIDIA Jetson Thor Platform.” From the event page: Join an exclusive webinar hosted by e-con Systems®, […]
Upcoming Webinar Explores Real-time AI Sensor Fusion Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Building realistic 3D environments for robotics simulation can be a labor-intensive process. Now, with NVIDIA Omniverse NuRec, you can complete the entire process using just a smartphone. This post walks you through each step—from capturing photos using an iPhone
Reconstruct a Scene in NVIDIA Isaac Sim Using Only a Smartphone Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. At the ROSCon robotics conference, NVIDIA announced contributions to the ROS 2 robotics framework and the Open Source Robotics Alliance’s new Physical AI Special Interest Group, as well as the latest release of NVIDIA Isaac ROS. This
NVIDIA Contributes to Open Frameworks for Next-generation Robotics Development Read More +
This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. With the introduction of NVFP4—a new 4-bit floating point data type in NVIDIA’s Blackwell GPU architecture—LLM inference achieves markedly improved efficiency. Blackwell’s NVFP4 format (RTX PRO 6000) delivers up to 2× higher LLM inference efficiency
NVIDIA Blackwell: The Impact of NVFP4 For LLM Inference Read More +
News Summary: NVIDIA founder and CEO Jensen Huang delivers DGX Spark to Elon Musk at SpaceX. This week, NVIDIA and its partners are shipping DGX Spark, the world’s smallest AI supercomputer, delivering NVIDIA’s AI stack in a compact desktop form factor. Acer, ASUS, Dell Technologies, GIGABYTE, HPI, Lenovo and MSI debut DGX Spark systems, expanding
NVIDIA DGX Spark Arrives for World’s AI Developers Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The Newton physics engine and enhanced NVIDIA Isaac GR00T models enable developers to accelerate robot learning through unified OpenUSD simulation workflows. Editor’s note: This blog is a part of Into the Omniverse, a series focused on how
Open-source Physics Engine and OpenUSD Advance Robot Learning Read More +
This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. The AI hardware landscape is dominated by one uncomfortable truth: most teams feel trapped by CUDA. You trained your models on NVIDIA GPUs, deployed them with TensorRT, and now the thought of switching hardware feels like rewriting
Breaking Free from the CUDA Lock-in Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Microsoft is now making Windows ML available to developers. Windows ML enables C#, C++ and Python developers to optimally run AI models locally across PC hardware from CPU, NPU and GPUs. On NVIDIA RTX GPUs, it utilizes
Deploy High-performance AI Models in Windows Applications on NVIDIA RTX AI PCs Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Generative AI is opening new possibilities for analyzing existing video streams. Video analytics are evolving from counting objects to turning raw video content footage into real-time understanding. This enables more actionable insights. The NVIDIA AI Blueprint for
How to Integrate Computer Vision Pipelines with Generative AI and Reasoning Read More +
Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Deploying Accelerated ML and AI: The Role of Khronos Open Standards” tutorial at the May 2025 Embedded Vision Summit. Accelerating machine learning and AI workloads often requires specialized hardware, but managing compatibility across… “Deploying Accelerated ML and AI:
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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