NVIDIA

The Rise of AI Drives a Ninefold Surge in Liquid Cooling Technology

Intel, Market Analysis, Memory, NVIDIA, Processors /

AI servers, driven by Nvidia’s GB200 superchip, have experienced significant growth. The cutting-edge B200 chip, due to its high thermal design power, requires direct-to-chip cooling. Supermicro announced that it had shipped over 2000 direct-liquid-cooled AI server racks by the end of August 2024, and it has expanded its manufacturing capacity to 5000 racks per month. […]

The Rise of AI Drives a Ninefold Surge in Liquid Cooling Technology Read More +

Accelerating LLMs with llama.cpp on NVIDIA RTX Systems

Algorithms, Blog Posts, Multimodal, NVIDIA, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The NVIDIA RTX AI for Windows PCs platform offers a thriving ecosystem of thousands of open-source models for application developers to leverage and integrate into Windows applications. Notably, llama.cpp is one popular tool, with over 65K GitHub

Accelerating LLMs with llama.cpp on NVIDIA RTX Systems Read More +

Deploying Accelerated Llama 3.2 from the Edge to the Cloud

Algorithms, Blog Posts, Multimodal, NVIDIA, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Expanding the open-source Meta Llama collection of models, the Llama 3.2 collection includes vision language models (VLMs), small language models (SLMs), and an updated Llama Guard model with support for vision. When paired with the NVIDIA accelerated

Deploying Accelerated Llama 3.2 from the Edge to the Cloud Read More +

Using Generative AI to Enable Robots to Reason and Act with ReMEmbR

Algorithms, Blog Posts, Multimodal, NVIDIA, Processors, Robotics, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision-language models (VLMs) combine the powerful language understanding of foundational LLMs with the vision capabilities of vision transformers (ViTs) by projecting text and images into the same embedding space. They can take unstructured multimodal data, reason over

Using Generative AI to Enable Robots to Reason and Act with ReMEmbR Read More +

NVIDIA AI Workbench Simplifies Using GPUs on Windows

Algorithms, Blog Posts, NVIDIA, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA AI Workbench is a free, user-friendly development environment manager that streamlines data science, ML, and AI projects on your system of choice: PC, workstation, datacenter, or cloud. You can develop, test, and prototype projects locally on

NVIDIA AI Workbench Simplifies Using GPUs on Windows Read More +

Simplifying Camera Calibration to Enhance AI-powered Multi-Camera Tracking

Algorithms, Blog Posts, NVIDIA, Object Tracking, Processors, Sensors and Cameras, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This post is the third in a series on building multi-camera tracking vision AI applications. We introduce the overall end-to-end workflow and fine-tuning process to enhance system accuracy in the first part and second part. NVIDIA Metropolis

Simplifying Camera Calibration to Enhance AI-powered Multi-Camera Tracking Read More +

NVIDIA TensorRT Model Optimizer v0.15 Boosts Inference Performance and Expands Model Support

Algorithms, Blog Posts, NVIDIA, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA has announced the latest v0.15 release of NVIDIA TensorRT Model Optimizer, a state-of-the-art quantization toolkit of model optimization techniques including quantization, sparsity, and pruning. These techniques reduce model complexity and enable downstream inference frameworks like NVIDIA

NVIDIA TensorRT Model Optimizer v0.15 Boosts Inference Performance and Expands Model Support Read More +

Interactive AI Tool Delivers Immersive Video Content to Blind and Low-vision Viewers

Algorithms, Blog Posts, NVIDIA, Object Identification, Object Tracking, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. New research aims to revolutionize video accessibility for blind or low-vision (BLV) viewers with an AI-powered system that gives users the ability to explore content interactively. The innovative system, detailed in a recent paper, addresses significant gaps

Interactive AI Tool Delivers Immersive Video Content to Blind and Low-vision Viewers Read More +

Advantech Demonstration of AI Vision with an Edge AI Camera and Deep Learning Software

Advantech, Industrial Vision (Computer Vision), NVIDIA, Object Identification, Object Tracking, Processors, Sensors and Cameras, Software, Summit 2024, Videos /

Brian Lin, Field Sales Engineer at Advantech, demonstrates the company’s latest edge AI and vision technologies and products at the 2024 Embedded Vision Summit. Specifically, Lin demonstrates his company’s edge AI vision solution embedded with NVIDIA Jetson platforms. Lin demonstrates how Advantech’s industrial cameras, equipped with Overview’s deep-learning software, effortlessly capture even the tiniest defects

Advantech Demonstration of AI Vision with an Edge AI Camera and Deep Learning Software Read More +

Build VLM-powered Visual AI Agents Using NVIDIA NIM and NVIDIA VIA Microservices

Algorithms, Blog Posts, Multimodal, NVIDIA, Object Identification, Object Tracking, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Traditional video analytics applications and their development workflow are typically built on fixed-function, limited models that are designed to detect and identify only a select set of predefined objects. With generative AI, NVIDIA NIM microservices, and foundation

Build VLM-powered Visual AI Agents Using NVIDIA NIM and NVIDIA VIA Microservices 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.

Pages

Topics

Contact

Address

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

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