{"id":1432,"date":"2022-05-10T19:53:39","date_gmt":"2022-05-10T23:53:39","guid":{"rendered":"https:\/\/www.grid.ai\/?p=1432"},"modified":"2022-09-10T11:17:03","modified_gmt":"2022-09-10T15:17:03","slug":"what-is-grid","status":"publish","type":"post","link":"https:\/\/lightning.ai\/pages\/community\/announcements\/what-is-grid\/","title":{"rendered":"What is Grid"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">The <\/span><a href=\"https:\/\/platform.grid.ai\/\"><span style=\"font-weight: 400;\"><u>Grid platform<\/u><\/span><\/a><span style=\"font-weight: 400;\"> enables users to quickly iterate through the model development life cycle by managing the provisioning of machine learning infrastructure on the cloud.<\/span><\/p>\n<h3><b>Barriers to Machine Learning Adoption<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Machine learning (ML) is a complicated field. This is especially the case when trying to figure out how to build models around your data. This includes:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">making sure you have access to the infrastructure to test and train your models (and the budget to pay for it),<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">viewing logs to determine why a model is failing,<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">sharing and collaborating with other team members to push your project forward,<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">and moving models into production and then using them in the real world.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">There are so many places in your pipeline where everything can fall apart. In fact, there are <\/span><a href=\"https:\/\/www.kdnuggets.com\/2022\/01\/models-rarely-deployed-industrywide-failure-machine-learning-leadership.html\"><span style=\"font-weight: 400;\"><u>polls<\/u><\/span><\/a><span style=\"font-weight: 400;\"> that show 80% of all machine learning models never get deployed!<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1438 size-full\" src=\"https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/barriers-ML.png\" alt=\"Machine Learning barriers\" width=\"1986\" height=\"1148\" srcset=\"https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/barriers-ML.png 1986w, https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/barriers-ML-300x173.png 300w, https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/barriers-ML-1024x592.png 1024w, https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/barriers-ML-768x444.png 768w, https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/barriers-ML-1536x888.png 1536w, https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/barriers-ML-1920x1110.png 1920w, https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/barriers-ML-600x347.png 600w\" sizes=\"(max-width: 1986px) 100vw, 1986px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">So, where does Grid fit in?<\/span><\/p>\n<h3><b>Your Machine Learning Toolbox<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Grid fills the holes within your ML infrastructure.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Many of our <\/span><a href=\"https:\/\/www.grid.ai\/podsights-uses-grid-to-deliver-models-into-production-50-times-faster\/\"><span style=\"font-weight: 400;\"><u>data scientist customers<\/u><\/span><\/a><span style=\"font-weight: 400;\"> don\u2019t have the time or resources to hire and train additional MLOps team members, and they also lack access to critical infrastructure. They are generally building on their laptops or desktops, but their system can\u2019t handle extensive training.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To tackle these challenges, they look to the Grid platform to provide a solution that allows them to rapidly prototype and train models, and go to production quickly in order to drive innovative research.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1439 size-full\" src=\"https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/ML-toolbox.png\" alt=\"Machine Learning toolbox\" width=\"1986\" height=\"1269\" srcset=\"https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/ML-toolbox.png 1986w, https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/ML-toolbox-300x192.png 300w, https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/ML-toolbox-1024x654.png 1024w, https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/ML-toolbox-768x491.png 768w, https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/ML-toolbox-1536x981.png 1536w, https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/ML-toolbox-1920x1227.png 1920w, https:\/\/lightningaidev.wpengine.com\/wp-content\/uploads\/2022\/05\/ML-toolbox-600x383.png 600w\" sizes=\"(max-width: 1986px) 100vw, 1986px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">One of Grid\u2019s defining features is that there are no code changes needed when training! This is a huge benefit for data scientists who want to take a model and just push it to the cloud.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Grid makes this process simple: it provides a wide variety of infrastructure options that include CPU or GPU instances to tackle any workload. Datastores are also available to capture all resources from one location, and interactive Grid Sessions give users the dashboard capability in one UI.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Grid works, it scales, and it meets the needs of data scientists, researchers, engineers, and other users focused on bringing machine learning projects to life.<\/span><\/p>\n<h3><b>Grid\u2019s Mission<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Grid\u2019s goal is to eliminate the burden of managing infrastructure in order to rapidly prototype and train models in an effort to reduce the time spent in the model development lifecycle. Grid meets this goal by maintaining three core pillars:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Community engagement<\/b><span style=\"font-weight: 400;\">. We\u2019re always working to build products that solve your problems, and we always encourage users to get in touch with feedback.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Research and development.<\/b><span style=\"font-weight: 400;\"> We maintain our commitment to excellence leveraging state-of-the-art tools and industry knowledge to make products that empower our users.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Constant innovation.<\/b><span style=\"font-weight: 400;\"> We build products that are useful both now and in the long term. By vigilantly evaluating customer needs and user experience, Grid delivers innovative features critical to the future of the industry.<\/span><\/li>\n<\/ol>\n<h3><b>Grid Features<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Grid\u2019s core features are:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Datastores<\/b><span style=\"font-weight: 400;\">. Data storage that is shareable between teams and mountable to both Runs and Sessions.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><a href=\"https:\/\/www.grid.ai\/creating-runs-in-grid\/\"><b><u>Runs<\/u><\/b><\/a><span style=\"font-weight: 400;\">. Transient jobs that will run your Python, Julia, or R code and store the resulting artifacts for downloads.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Sessions<\/b><span style=\"font-weight: 400;\">. Interactive Jupyter notebook environments capable of running Python, Julia, and R code. This feature is designed for <\/span><span style=\"font-weight: 400;\">iteration and prototyping with the ability to pause without losing any work.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Artifact management<\/b><span style=\"font-weight: 400;\">. Grid offers the ability to manage and download the artifacts created from model training.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">As a platform, Grid enables users to scale their workflow and facilitates faster model training.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">We do this by being:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Bigger<\/b><span style=\"font-weight: 400;\">. Train and scale models using Grid Runs, Sessions and a variety of Cloud-based infrastructure.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Faster<\/b><span style=\"font-weight: 400;\">. Quickly develop models with one-click access to scalable compute and the ability to run parallel hyperparameter search.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Easier<\/b><span style=\"font-weight: 400;\">. You <\/span><span style=\"font-weight: 400;\">don&#8217;t need to remember thousands of commands from different environments in order to train a model, generate Artifacts, and increase replicability.<\/span><\/li>\n<\/ol>\n<blockquote><p><i><span style=\"font-weight: 400;\">\u201cThe intangible value of Grid: I am a happier data scientist because I get to focus on the stuff that I love to work on, and ultimately the reasons that they hired me, which is to research and develop models and translate real world problems in podtech into machine learning products. I think it presents a justification for machine learning engineers and data scientists to focus on what we were hired to do, rather than spinning our wheels on infrastructure.\u201d <strong>Chase Bosworth, Machine Learning Engineering Manager (Spotify x Podsights)<\/strong><\/span><\/i><\/p><\/blockquote>\n<p><span style=\"font-weight: 400;\"><br \/>\nSo, that&#8217;s it in a nutshell! Interested in learning more about how Grid can help you manage machine learning model development for your next project? Get started with Grid\u2019s free community tier account (and get $25 in free credits!) by\u00a0<a href=\"https:\/\/platform.grid.ai\/\"><u>clicking here<\/u><\/a>. Also, explore our\u00a0<a href=\"https:\/\/docs.grid.ai\/\" target=\"_blank\" rel=\"noopener\"><u>documentation<\/u><\/a>\u00a0and join the\u00a0<a href=\"https:\/\/join.slack.com\/t\/gridai-community\/shared_invite\/zt-ozqiwuif-UYK6rZGVmTTpMfPcVSdicg\"><u>Slack community<\/u><\/a>\u00a0to learn more about what the Grid platform can do for you.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Happy Grid-ing!<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Grid platform enables users to quickly iterate through the model development life cycle by managing the provisioning of machine learning infrastructure on the cloud. Barriers to Machine Learning Adoption Machine learning (ML) is a complicated field. This is especially the case when trying to figure out how to build models around your data. This<a class=\"excerpt-read-more\" href=\"https:\/\/lightning.ai\/pages\/community\/announcements\/what-is-grid\/\" title=\"ReadWhat is Grid\">&#8230; Read more &raquo;<\/a><\/p>\n","protected":false},"author":16,"featured_media":1433,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[101],"tags":[43],"glossary":[],"acf":{"hide_from_archive":null,"content_type":null,"code_embed":null,"code_shortcode":null,"custom_styles":null,"sticky":null,"additional_authors":null,"mathjax":null,"default_editor":null,"sections":null,"show_table_of_contents":null,"table_of_contents":null,"tabs":null,"tab_group":null},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What is Grid - Lightning AI<\/title>\n<meta name=\"description\" content=\"Learn more about Grid.ai and how we make it easy to manage cloud infrastructure to quickly iterate through the model development life cycle.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lightning.ai\/pages\/community\/announcements\/what-is-grid\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is Grid - 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