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Nvidia news deep learning. Nvidia announced this week three new courses on fundamentals of deep learning recommender systems and transformer based applications which will include access to a configured gpu accelerated server in the cloud. About nvidia nvidia s nasdaq. These courses will be first offered at the gpu technology conference on october 5 9 2020. Gpu accelerated deep learning frameworks offer flexibility to design and train custom deep neural networks and provide interfaces to commonly used programming languages such as python and c c.
Today deep learning is transforming every industry from healthcare and retail to automotive and financial services. Huge industries from web services and retail to healthcare and cars will be revolutionized. Nvda invention of the gpu in 1999 sparked the growth of the pc gaming market redefined modern computer graphics and revolutionized parallel computing more recently gpu deep learning ignited modern ai the next era of computing with the gpu acting as the brain of computers robots and self driving cars that can perceive and understand the world. Today it s empowering organizations to transform moonshots into real results.
Deep learning has started a new era in computing said ian buck vice president of accelerated computing at nvidia. The nvidia deep learning institute dli is offering instructor led hands on training on how to write cuda c applications that efficiently and correctly utilize all available gpus in a single node dramatically improving the performance of your applications. Every major deep learning framework such as tensorflow pytorch and others are already gpu accelerated so data scientists and researchers can get productive in minutes without any gpu programming. Enabled by big data and powerful gpus deep learning algorithms can solve problems never possible before.
These are just a few things happening today with ai and specifically deep learning. Currently nvidia has over 2 million registered developers. Deep learning deep learning is a subset of ai and machine learning that uses multi layered artificial neural networks to deliver state of the art accuracy in tasks such as object detection speech recognition language translation and others. This repository provides state of the art deep learning examples that are easy to train and deploy achieving the best reproducible accuracy and performance with nvidia cuda x software stack running on nvidia volta turing and ampere gpus.
Nvidia deep learning examples for tensor cores introduction. These are just a few things happening today with ai deep learning and data science as teams around the world started using nvidia gpus today these technologies are empowering organizations to transform moonshots into real results.
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