NVIDIA

Ecosystem Collaboration Drives New AMBA Specification for Chiplets

This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. AMBA is being extended to the chiplets market with the new CHI C2C specification. As Arm’s EVP and Chief Architect Richard Grisenthwaite said in this blog, Arm is collaborating across the ecosystem on standards to enable a […]

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NVIDIA RTX 2000 Ada Generation GPU Brings Performance, Versatility for Next Era of AI-accelerated Design and Visualization

Latest RTX technology delivers cost-effective package for designers, developers, engineers, and embedded and edge applications. Generative AI is driving change across industries — and to take advantage of its benefits, businesses must select the right hardware to power their workflows. The new NVIDIA RTX 2000 Ada Generation GPU delivers the latest AI, graphics and compute

NVIDIA RTX 2000 Ada Generation GPU Brings Performance, Versatility for Next Era of AI-accelerated Design and Visualization Read More +

Free Webinar Explores How to Accelerate Edge AI Development With Microservices For NVIDIA Jetson

On March 5, 2024 at 8 am PT (11 am ET), NVIDIA senior product manager Chintan Shah will present the free hour webinar “Accelerate Edge AI Development With Microservices For NVIDIA Jetson,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Building vision AI applications for the edge

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Announcing NVIDIA Metropolis Microservices for Jetson for Rapid Edge AI Development

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, a powerful yet simple API-driven edge AI development workflow is available with the new NVIDIA Metropolis microservices. NVIDIA

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Build Vision AI Applications at the Edge with NVIDIA Metropolis Microservices and APIs

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA Metropolis microservices provide powerful, customizable, cloud-native APIs and microservices to develop vision AI applications and solutions. The framework now includes NVIDIA Jetson, enabling developers to quickly build and productize performant and mature vision AI applications at

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Fast-track Computer Vision Deployments with NVIDIA DeepStream and Edge Impulse

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI-based computer vision (CV) applications are increasing, and are particularly important for extracting real-time insights from video feeds. This revolutionary technology empowers you to unlock valuable information that was once impossible to obtain without significant operator intervention,

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Wave of EV Makers Choose NVIDIA DRIVE for Automated Driving

Li Auto Selects DRIVE Thor for Next-Gen EVs; GWM, ZEEKR and Xiaomi Develop AI-Driven Cars Powered by NVIDIA DRIVE Orin January 8, 2024 — CES — NVIDIA today announced that Li Auto, a pioneer in extended-range electric vehicles (EVs), has selected the NVIDIA DRIVE Thor™ centralized car computer to power its next-generation fleets. NVIDIA also announced

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NVIDIA Brings Generative AI to Millions, With Tensor Core GPUs, LLMs, Tools for RTX PCs and Workstations

Leading AI Platform Gets RTX-Accelerated Boost From New GeForce RTX SUPER GPUs, AI Laptops From Every Top Manufacturer January 8, 2024 — CES — NVIDIA today announced GeForce RTX™ SUPER desktop GPUs for supercharged generative AI performance, new AI laptops from every top manufacturer, and new NVIDIA RTX™-accelerated AI software and tools for both developers

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e-con Systems Demonstration of a 360 Degree Bird Eye View Camera for Autonomous Mobility

Laxman Sankaran, Director of US Operations, and Vinoth Rajagopalan, Project Engineering Manager, both of e-con Systems, demonstrate the company’s latest edge AI and vision technologies and products at the December 2023 Edge AI and Vision Alliance Forum. Specifically, Sankaran and Rajagopalan demonstrate the company’s ArniCAM20, a 360-degree bird-eye-view synchronized multi-camera solution. This multi-camera solution comprises

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Develop and Optimize Vision AI Models for Trillions of Devices with NVIDIA TAO

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. With NVIDIA TAO Toolkit, developers around the world are building AI-powered visual perception and computer vision applications. Now the process is faster and easier than ever, thanks to significant platform enhancements and strong ecosystem adoption. NVIDIA TAO

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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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