NVIDIA

Optimizing the CV Pipeline in Automotive Vehicle Development Using the PVA Engine

Algorithms, Automotive, Blog Posts, NVIDIA, Object Identification, 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. In the field of automotive vehicle software development, more large-scale AI models are being integrated into autonomous vehicles. The models range from vision AI models to end-to-end AI models for autonomous driving.  Now the demand for computing […]

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Flux and Furious: New Image Generation Model Runs Fastest on RTX AI PCs and Workstations

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. Black Forest Labs’ latest models generate high-quality images and are highly performant on NVIDIA RTX GPUs. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and

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Orchestrating Innovation at Scale with NVIDIA Maxine and Texel

Algorithms, Blog Posts, Face Detection, Face Recognition, 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 Maxine AI developer platform is a suite of NVIDIA NIM microservices, cloud-accelerated microservices, and SDKs that offer state-of-the-art features for enhancing real-time video and audio. NVIDIA partners use Maxine features to create better virtual interaction

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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.

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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

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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

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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

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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

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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

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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

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