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NVIDIA

ProHawk Gains NVIDIA Preferred Partner Status for its AI-enabled Computer Vision Solutions

ProHawk solutions validated in NVIDIA’s labs over the past 18 months, and now embedded with NVIDIA Metropolis, Holoscan, and Jetson platforms, with more integrations coming. LAKE MARY, FLORIDA, February 27, 2024 — ProHawk Technology Group (ProHawk AI), a leading AI-enabled computer vision company, today announced that it has been selected as a Preferred partner within […]

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Micron Commences Volume Production of Industry-leading HBM3E Solution to Accelerate the Growth of AI

Micron HBM3E helps reduce data center operating costs by consuming about 30% less power than competing HBM3E offerings BOISE, Idaho, Feb. 26, 2024 (GLOBE NEWSWIRE) — Micron Technology, Inc. (Nasdaq: MU), a global leader in memory and storage solutions, today announced it has begun volume production of its HBM3E (High Bandwidth Memory 3E) solution. Micron’s 24GB 8H

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NVIDIA RTX 500 and 1000 Professional Ada Generation Laptop GPUs Drive AI-enhanced Workflows From Anywhere

Thin and light designs deliver advanced AI, compute and graphics horsepower for professionals on the go. With generative AI and hybrid work environments becoming the new standard, nearly every professional, whether a content creator, researcher or engineer, needs a powerful, AI-accelerated laptop to help users tackle their industry’s toughest challenges — even on the go.

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Shining Brighter Together: Google’s Gemma Optimized to Run on NVIDIA GPUs

New open language models from Google accelerated by TensorRT-LLM across NVIDIA AI platforms — including local RTX AI PCs. NVIDIA, in collaboration with Google, today launched optimizations across all NVIDIA AI platforms for Gemma — Google’s state-of-the-art new lightweight 2 billion– and 7 billion-parameter open language models that can be run anywhere, reducing costs and

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Benchmarking Camera Performance on Your Workstation with NVIDIA Isaac Sim

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Robots are typically equipped with cameras. When designing a digital twin simulation, it’s important to replicate its performance in a simulated environment accurately. However, to make sure the simulation runs smoothly, it’s crucial to check the performance

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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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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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