NVIDIA

NVIDIA JetPack 6.2 Brings Super Mode to NVIDIA Jetson Orin Nano and Jetson Orin NX Modules

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The introduction of the NVIDIA Jetson Orin Nano Super Developer Kit sparked a new age of generative AI for small edge devices. The new Super Mode delivered an unprecedented generative AI performance boost of up to 1.7x […]

NVIDIA JetPack 6.2 Brings Super Mode to NVIDIA Jetson Orin Nano and Jetson Orin NX Modules Read More +

Accelerate Custom Video Foundation Model Pipelines with New NVIDIA NeMo Framework Capabilities

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Generative AI has evolved from text-based models to multimodal models, with a recent expansion into video, opening up new potential uses across various industries. Video models can create new experiences for users or simulate scenarios for training

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NVIDIA DRIVE Hyperion Platform Achieves Critical Automotive Safety and Cybersecurity Milestones for AV Development

Adopted and Backed by Automotive Manufacturers and Safety Authorities, Latest Iteration to Feature DRIVE Thor on NVIDIA Blackwell Running NVIDIA DriveOS January 6, 2025 — CES — NVIDIA today announced that its autonomous vehicle (AV) platform, NVIDIA DRIVE AGX™ Hyperion, has passed industry-safety assessments by TÜV SÜD and TÜV Rheinland — two of the industry’s

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NVIDIA Expands Omniverse With Generative Physical AI

New Models, Including Cosmos World Foundation Models, and Omniverse Mega Factory and Robotic Digital Twin Blueprint Lay the Foundation for Industrial AI Leading Developers Accenture, Altair, Ansys, Cadence, Microsoft and Siemens Among First to Adopt Platform Libraries January 6, 2025 — CES — NVIDIA today announced generative AI models and blueprints that expand NVIDIA Omniverse™

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NVIDIA Launches Cosmos World Foundation Model Platform to Accelerate Physical AI Development

New State-of-the-Art Models, Video Tokenizers and an Accelerated Data Processing Pipeline, Optimized for NVIDIA Data Center GPUs, Are Purpose-Built for Developing Robots and Autonomous Vehicles First Wave of Open Models Available Now to Developer Community Global Physical AI Leaders 1X, Agile Robots, Agility, Figure AI, Foretellix, Uber, Waabi and XPENG Among First to Adopt January 6, 2025 —

NVIDIA Launches Cosmos World Foundation Model Platform to Accelerate Physical AI Development Read More +

NVIDIA Launches AI Foundation Models for RTX AI PCs

NVIDIA NIM Microservices and AI Blueprints Help Developers and Enthusiasts Build AI Agents and Creative Workflows on PC January 6, 2025 — CES — NVIDIA today announced foundation models running locally on NVIDIA RTX™ AI PCs that supercharge digital humans, content creation, productivity and development. These models — offered as NVIDIA NIM™ microservices — are accelerated by

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NVIDIA Puts Grace Blackwell on Every Desk and at Every AI Developer’s Fingertips

NVIDIA Project DIGITS With New GB10 Superchip Debuts as World’s Smallest AI Supercomputer Capable of Running 200B-Parameter Models January 6, 2025 — CES — NVIDIA today unveiled NVIDIA® Project DIGITS, a personal AI supercomputer that provides AI researchers, data scientists and students worldwide with access to the power of the NVIDIA Grace Blackwell platform. Project

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NVIDIA Blackwell GeForce RTX 50 Series Opens New World of AI Computer Graphics

Next Generation of GeForce RTX GPUs Deliver Stunning Visual Realism and 2x Performance Increase, Made Possible by AI, Neural Shaders and DLSS 4 January 6, 2025 — CES — NVIDIA today unveiled the most advanced consumer GPUs for gamers, creators and developers — the GeForce RTX™ 50 Series Desktop and Laptop GPUs. Powered by the

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NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 2 of 3)

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. During this series, we will use Tenyks to build a data-centric pipeline to debug and fix a model trained with the NVIDIA TAO Toolkit. Part 1. We demystify the NVIDIA ecosystem and define a data-centric pipeline based

NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 2 of 3) Read More +

Who Decides Edge AI Winners in Embedded?

In data centers, ML researchers’ vote for Nvidia is what made Nvidia a runaway success in AI training. On the embedded market, who holds the key for edge AI? What’s at stake: Edge AI – or AIOT (Artificial Intelligence of Things) – on the embedded market has been a hot notion among MCU vendors for

Who Decides Edge AI Winners in Embedded? 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.

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