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Topic: NVIDIA


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CINECA to Build Fast AI Supercomputer with NVIDIA and Atos
New “Leonardo” system to deliver 10 exaflops of AI performance to power Italy's HPC and AI research.

NVIDIA Puts Forth Ready-Made NVIDIA DGX SuperPODs
Offered by a global network of certified partners, this advanced AI system is now available in 20-node building block increments.

NVIDIA Unveils New Ampere Architecture GPUs
New NVIDIA RTX A6000 and NVIDIA A40 GPUs accelerate rendering, AI, VR/AR and compute workloads for millions of artists, designers and engineers.

GTC: NVIDIA Omniverse Enables Real-Time, Virtual Collaboration
New Omniverse platform enters open beta; NVIDIA announces DPU products.

NVIDIA Unveils Jetson Nano 2GB AI and Robotics Starter Kit
New developer kit with free online training and certification makes AI easily accessible to all.

NVIDIA Completes Acquisition of Mellanox
Combined company provides expertise in compute and networking technologies for high-performance computing.

3D Printing Fix for Medical Supply Shortages
Engineers are called on for help in addressing medical supply shortages.

Deep Learning Meets 3D Modeling
Machine learning and AI introduce predictive behavior in design software.

NVIDIA Announces Scalable GPU-Accelerated Supercomputer in the Microsoft Azure Cloud
New Microsoft Azure NDv2 supersized instance can scale to hundreds of interconnected NVIDIA Tensor Core GPUs for complex AI and high-performance computing applications.

SparkFun Works with NVIDIA to Release Two New Kits
JetBot AI Kit Powered by the NVIDIA Jetson Nano and a Materials Kit for NVIDIA's “Getting Started on AI with Jetson Nano.”

The New Age of GPU-Driven Product Design
Software companies are finding ways to accelerate CAD with GPUs beyond graphics and rendering.

Simulate to Realize 3D Printing Benefits
Simulation software helps drive the increased use of industrial additive manufacturing.

Self-Driving Cars are Leveling Up in Autonomy
A look at the self-driving carmakers' road ahead.

Sensors Smarten Up the Edge
Companies that want to bring AI to the edge face hardware and data processing challenges.

Deep Learning and Design Engineering
Designers incorporate AI and deep learning into new products and in their own design processes.



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