{"id":17874,"date":"2017-05-29T06:30:28","date_gmt":"2017-05-29T13:30:28","guid":{"rendered":"http:\/\/insidebigdata.com\/?p=17874"},"modified":"2017-05-30T08:45:14","modified_gmt":"2017-05-30T15:45:14","slug":"enterprise-software-tools-ai","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2017\/05\/29\/enterprise-software-tools-ai\/","title":{"rendered":"Enterprise Software Tools for AI"},"content":{"rendered":"
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This article is part of a\u00a0special insideHPC\u00a0report that explores trends in machine learning and deep learning.\u00a0The complete report,\u00a0available here<\/a>, covers how businesses are using machine learning and deep learning, differentiating between AI, machine learning and deep learning, what it takes to get started,\u00a0software\u00a0tools for AI and more.<\/em><\/p>\n

\"machine<\/a>

Download the full report here.<\/a><\/p><\/div>\n

There are three exemplary members of the AI software stack available as deep learning frameworks: Caffe, MXNet and TensorFlow.<\/p>\n

\u2022 Caffe<\/a> is a well-known and widely used deep learning framework which was developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. It focuses more on the image classification problem and it supports multiple GPUs within a node.<\/p>\n

\u2022 MXNet<\/a>, jointly developed by collaborators from multiple universities and companies, is a lightweight, portable and flexible deep learning framework designed for both efficiency and flexibility. This framework scales to multiple GPUs within a node and across nodes.<\/p>\n

\u2022 TensorFlow<\/a>, developed by Google\u2019s Brain team, is a library for numerical computation using data flow graphs. TensorFlow also supports multiple GPUs and can scale to multiple nodes.<\/p>\n

Enterprise software tools for AI also includes\u00a0NVIDIA DIGITS <\/a>, which\u00a0puts the power of deep learning\u00a0into the hands of engineers and data scientists. DIGITS can be used to rapidly train highly\u00a0accurate deep neural networks (DNNs) for image classification, segmentation and object detection tasks.<\/p>\n

[clickToTweet tweet=”NVIDIA DIGITS puts the power of deep learning into the hands of engineers and data scientists. ” quote=”NVIDIA DIGITS puts the power of deep learning into the hands of engineers and data scientists. “]<\/p>\n

DIGITS simplifies common deep learning tasks such as managing data, designing and\u00a0training neural networks on multi-GPU systems, monitoring performance in real time with advanced visualizations, and selecting the best performing model. The system is completely interactive,\u00a0so that data scientists can focus on designing and training networks rather than programming and debugging.<\/p>\n

You can download the complete report,\u00a0\u201cinsideHPC Research Report on Riding the Wave of Machine Learning & Deep Learning,\u201d<\/a>\u00a0courtesy of Dell EMC and Nvidia.\u00a0<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

This post delves into a variety of enterprise software options for AI. This article is part of a special insideHPC report that explores trends in machine learning and deep learning. Find out how businesses are using machine learning and deep learning, differentiating between AI, machine learning and deep learning, what it takes to get started, software tools for AI and more.<\/p>\n","protected":false},"author":37,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[87,180,67,58],"tags":[437,547,564,277,263,96],"acf":[],"yoast_head":"\nEnterprise Software Tools for AI<\/title>\n<meta name=\"description\" content=\"There are three exemplary members of the AI software stack available as deep learning frameworks. This post explores software options for AI.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2017\/05\/29\/enterprise-software-tools-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Enterprise Software Tools for AI\" \/>\n<meta property=\"og:description\" content=\"There are three exemplary members of the AI software stack available as deep learning frameworks. This post explores software options for AI.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2017\/05\/29\/enterprise-software-tools-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2017-05-29T13:30:28+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2017-05-30T15:45:14+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/04\/Dell_Nivida_ML_DLguide.jpg\" \/>\n<meta name=\"author\" content=\"Daniel Gutierrez\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@AMULETAnalytics\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel Gutierrez\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2017\/05\/29\/enterprise-software-tools-ai\/\",\"url\":\"https:\/\/insidebigdata.com\/2017\/05\/29\/enterprise-software-tools-ai\/\",\"name\":\"Enterprise Software Tools for AI\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2017-05-29T13:30:28+00:00\",\"dateModified\":\"2017-05-30T15:45:14+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\"},\"description\":\"There are three exemplary members of the AI software stack available as deep learning frameworks. 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