NVIDIA

Lattice Semiconductor Demonstration of a Low-latency Edge AI Sensor Bridge for NVIDIA’s Holoscan

Kambiz Khalilian, Director of Strategic Initiatives and Ecosystem Alliances for Lattice Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Khalilian demonstrates a low-latency edge AI sensor bridge solution for NVIDIA’s Holoscan. The Lattice FPGA-based Holoscan Sensor Bridge enables high-throughput and low-latency sensor aggregation and […]

Lattice Semiconductor Demonstration of a Low-latency Edge AI Sensor Bridge for NVIDIA’s Holoscan Read More +

Develop Generative AI-powered Visual AI Agents for the Edge

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. 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

Develop Generative AI-powered Visual AI Agents for the Edge Read More +

e-con Systems Demonstration of Its Advanced Camera Solutions

Gomathi Sankar Paramasivan, Head of the Industrial Camera Business Unit at e-con Systems, demonstrates the company’s latest edge AI and vision technologies and products in Lattice Semiconductor’s booth at the 2024 Embedded Vision Summit. Specifically, Paramasivan demonstrates his company’s CAM85_CUOAGX and See3CAM50_CUG advanced camera solutions based on Lattice Semiconductor FPGAS. The showcased cameras are powered

e-con Systems Demonstration of Its Advanced Camera Solutions Read More +

Mission NIMpossible: Decoding the Microservices That Accelerate Generative AI

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Run generative AI NVIDIA NIM microservices locally on NVIDIA RTX AI workstations and NVIDIA GeForce RTX systems. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible

Mission NIMpossible: Decoding the Microservices That Accelerate Generative AI Read More +

Decoding How the Generative AI Revolution BeGAN

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA Research’s GauGAN demo set the scene for a new wave of generative AI apps supercharging creative workflows. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more

Decoding How the Generative AI Revolution BeGAN Read More +

Generate Traffic Insights Using YOLOv8 and NVIDIA JetPack 6.0

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Intelligent Transportation Systems (ITS) applications are becoming increasingly valuable and prevalent in modern urban environments. The benefits of using ITS applications include: Increasing traffic efficiency: By analyzing real-time traffic data, ITS can optimize traffic flow, reducing congestion and

Generate Traffic Insights Using YOLOv8 and NVIDIA JetPack 6.0 Read More +

Decoding How NVIDIA AI Workbench Powers App Development

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Free tool lets developers experiment with, test and prototype AI applications. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible and showcases new hardware, software, tools

Decoding How NVIDIA AI Workbench Powers App Development Read More +

TOPS of the Class: Decoding AI Performance on RTX AI PCs and Workstations

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. What is a token? Why is batch size important? And how do they help determine how fast AI computes? Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology

TOPS of the Class: Decoding AI Performance on RTX AI PCs and Workstations Read More +

Power Cloud-native Microservices at the Edge with NVIDIA JetPack 6.0, Now GA

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA JetPack SDK powers NVIDIA Jetson modules, offering a comprehensive solution for building end-to-end accelerated AI applications. JetPack 6 expands the Jetson platform’s flexibility and scalability with microservices and a host of new features. It’s the most downloaded

Power Cloud-native Microservices at the Edge with NVIDIA JetPack 6.0, Now GA Read More +

Streamline Development of AI-powered Apps with NVIDIA RTX AI Toolkit for Windows RTX PCs

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA today launched the NVIDIA RTX AI Toolkit, a collection of tools and SDKs for Windows application developers to customize, optimize, and deploy AI models for Windows applications. It’s free to use, doesn’t require prior experience with

Streamline Development of AI-powered Apps with NVIDIA RTX AI Toolkit for Windows RTX PCs Read More +

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.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
Scroll to Top