Nervana Cloud, platform for deep learning, Intel Nervana, San Diego, California, USA

[Airicist]

Developer - Intel Nervana (https://pr.ai/showthread.php?14178)

[Airicist]

https://youtu.be/5j5gVh4FMOA

ncloud demo

Published on Mar 1, 2016


Demo of the private beta version of the Nervana Cloud and a command line utility (ncloud) used to submit training jobs, list active jobs, show status of jobs and resources, deploy models, download parameters, and upload datasets

[Airicist]

https://youtu.be/G6WgEcAbH5I

Intel Nervana Artificial Intelligence 1/31/17

Published on Feb 6, 2017


Presentation Details:

Title: Hands-on Deep Learning Workshop

Abstract:

Deep learning is unlocking tremendous economic value across various market sectors. Individual data scientists can draw from several open source frameworks and basic hardware resources during the very initial investigative phases but quickly require significant hardware and software resources to build and deploy production models. Intel Nervana has built a competitive deep learning platform to make it easy for data scientists to start from the iterative, investigatory phase and take models all the way to deployment. Nervana’s platform is designed for speed and scale, and serves as a catalyst for all types of organizations to benefit from the full potential of deep learning. Example of supported applications include but not limited to automotive speech interfaces, image search, language translation, agricultural robotics and genomics, financial document summarization, and finding anomalies in IoT data. In this talk, we will give an overview of Nervana’s DL platform and get some hands-on experience using this platform to train and execute deep learning models.

Speaker: Will Constable

Will Constable is an engineer by training, deep learner by practice, and roboticist at heart. At Intel Nervana, he is the Head of distributed computing. He was an early team member at nervana and a core contributor to the nervana cloud platform and neon framework. Previously at Qualcomm Research, Will applied deep learning and traditional computer vision techniques to build robots that could fly or drive, including one that could pick up, classify and sort toys left on the floor. He graduated from Carnegie Mellon University with a B.S. and M.S. in Electrical and Computer Engineering.