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Articles related to NVIDIA
Automotive

JiDU Level 4 Self-Driving Vehicle Powered by NVIDIA DRIVE Orin to Begin Production Next Year - News

January 06, 2022

During the 2022 Consumer Electronics Show (CES), Baidu and JiDU Automotive announced that JiDU's first production vehicle model will be powered by the NVIDIA DRIVE Orin SoC (system-on-chip).

Processing

Embedded Computing Design’s 2022 Tech Industry Predictions - Podcast

January 05, 2022

Since we’ve turned the page on a new year, it’s time to make some predictions.

Processing

Using Imagination Around Arm & RISC-V - Podcast

December 17, 2021

Champions of the open-standard ISA expect it to start displacing competitive offerings en masse over the next few years. While that remains to be seen, the introduction of custom RISC-V instruction extensions, the formation industry-specific working groups, and advances in tools are redefining the technology’s true winners.

AI & Machine Learning

NVIDIA's Jetson AGX Orin Robotics Computer for Edge AI and Autonomous Machines - News

November 09, 2021

NVIDIA introduced NVIDIA Jetson AGX Orin, the world’s smallest, energy-efficient AI supercomputer for robotics, autonomous machines, medical devices, and other forms of embedded computing at the edge.

AI & Machine Learning

Product of the Week: Syslogic's NVIDIA Jetson AGX Xavier Industrial-based Rugged Computer - Story

November 02, 2021

A hallmark of proven technology is viability in rugged industrial applications. And a true measure of that viability is how it performs under the rigors of mobile applications.

Rugged mobile systems architects can now check both boxes while adding cutting edge AI capabilities to their designs by adopting Syslogic's NVIDIA Jetson AGX Xavier-based Rugged Computer, the RML A3.

Industrial

NVIDIA Announces New AI Perception Coming to ROS Developers - News

September 22, 2021

NVIDIA and Open Robotics have entered into an agreement to accelerate ROS performance on NVIDIA’s Jetson edge AI platform and GPU-based systems. These initiatives are designed to reduce development time and improve performance for developers seeking to incorporate computer vision and AI/machine learning functionality into their ROS-based applications. 

AI & Machine Learning

Enhancing AI Inference through Sparsity Support and Transformer Optimization for Minimizing Latency - Blog

September 16, 2021

AI models have become more complicated in recent times due to the escalating demand for real-time AI applications in various industries. This necessitates the deployment of high-performing, cutting-edge inference systems in an optimal way. TensorRT's latest version addresses these issues by bringing in additional capabilities to provide more enhanced and responsive conversational AI applications to their customers.