Open source-powered AI/ML for the hybrid cloud

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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"> <html><body><div class="pf-l-grid pf-m-gutter"><div class="pf-m-12-col pf-m-9-col-on-lg pf-m-9-col-on-md pf-m-12-col-on-sm"><h1>Open source-powered AI/ML for the hybrid cloud</h1><p dir="ltr">Enterprise grade Artificial Intelligence and Machine Learning (AI/ML) for Developers, Data Engineers, Data Scientists and Operations.      </p><p><a class="pf-c-button pf-m-heavy" href="https://developers.redhat.com/content-gateway/link/3886170" target="_blank" data-analytics-linktype="”CTA”" data-analytics-text="”Try" it="" in="" our="" data-analytics-category="”Hero”">Try it in our no-cost Developer Sandbox</a><a class="pf-c-button pf-m-primary" href="https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-data-science/trial/?intcmp=7013a000003SVWoAAO" target="_blank" data-analytics-linktype="”CTA”" data-analytics-text="”IT" try="" it="" in="" your="" own="" data-analytics-category="”Hero”">IT Admins, Try it in your own cluster</a></p></div><div class="text-align-center pf-m-12-col pf-m-3-col-on-lg pf-m-3-col-on-md pf-m-12-col-on-sm"><br><img src="https://developers.redhat.com/sites/default/files/styles/keep_original/public/Hero%20banner%20graphics.webp?itok=194PMxDo" alt="AI/ML" width="159" height="140"></div></div></body></html> </div> </div> </div> </div> </div> </div> <div class="block block-entity-block block-entity-blockassembly" data-block-plugin-id="entity_block:assembly"> <div> <div id="ai-ml-main-tab-nav-100476" class="assembly assembly-type-rich_text component has-background rich-text pf-c-content" style="background-image:url('/sites/default/files/styles/billboard/public/product-nav-bakcground2.jpeg.webp?itok=iIdss0sx 1x'), url('/sites/default/files/styles/billboard/public/product-nav-bakcground2.jpeg?itok=iIdss0sx 1x');"> <div class="pf-l-grid pf-m-gutter"> <div class="pf-l-grid__item"> <div class="rich-text-content"> <div class="pf-l-flex"><div style="margin-right:var(--pf-global--spacer--2xl);"><a href="#"><strong>Open source-powered hybrid cloud AI/ML </strong></a></div><div style="margin-right:var(--pf-global--spacer--2xl);"><a href="https://developers.redhat.com/aiml/platform-devtools">Red Hat's AI/ML platforms & developer tools</a></div></div> </div> </div> </div> </div> </div> </div> <div class="block block-entity-block block-entity-blockassembly" data-block-plugin-id="entity_block:assembly"> <div> <div id="ai-ml-main-tab-overview-100478" class="assembly assembly-type-rich_text component rich-text pf-c-content"> <div class="pf-l-grid pf-m-gutter"> <div class="pf-l-grid__item"> <div class="rich-text-content"> <h2 class="pf-c-title">Overview</h2> <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"> <html><body><div class="pf-l-grid pf-m-gutter"><div class="pf-m-12-col pf-m-9-col-on-lg pf-m-9-col-on-md pf-m-12-col-on-sm"><p>Open source software is at the heart of cutting edge innovation like Generative AI in addition to its already prominent role in powering Predictive AI. To deliver these innovations at a global scale, enterprises have to deal with the complexities of security, privacy, compliance, reliability, scale, and performance. To handle these complexities, enterprises usually end up with a hybrid cloud footprint where their data and applications are deployed on environments ranging from on-prem data centers to hyperscaler cloud provider infrastructure. Operationalizing AI/ML and utilizing open source powered AI/ML in intelligent applications that deliver exponentially enhanced customer experiences in a hybrid cloud environment require platforms with <a href="https://developers.redhat.com/aiml#ai-ml-main-tab-capabilities-cards-100489">capabilities</a> for both machine learning operations (MLOps) and application development.</p></div><div class="pf-m-12-col pf-m-3-col-on-lg pf-m-3-col-on-md pf-m-12-col-on-sm"> <figure class="media media--type-image media--view-mode-article-content rhd-c-figure"> <a href="/sites/default/files/above_the_fold_graphics_platform_concept.png" data-featherlight="image"><picture><source srcset="/sites/default/files/styles/article_floated/public/above_the_fold_graphics_platform_concept.png.webp?itok=wjjG-hau" type="image/webp"></source><img loading="lazy" src="/sites/default/files/styles/article_floated/public/above_the_fold_graphics_platform_concept.png?itok=wjjG-hau" width="600" height="405" alt="AI/ML Overview" typeof="foaf:Image"></picture> </a> </figure> </div></div></body></html> </div> </div> </div> </div> </div> </div> <div class="block block-entity-block block-entity-blockassembly" data-block-plugin-id="entity_block:assembly"> <div> <div id="ai-ml-main-tab-mlops-and-app-platform-100480" class="assembly assembly-type-rich_text component has-background rich-text pf-c-content" style="background-image:url('/sites/default/files/styles/billboard/public/grey-background.png.webp?itok=yHhUh9Ms 1x'), url('/sites/default/files/styles/billboard/public/grey-background.png?itok=yHhUh9Ms 1x');"> <div class="pf-l-grid pf-m-gutter"> <div class="pf-l-grid__item"> <div class="rich-text-content"> <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"> <html><body><div class="pf-l-grid pf-m-gutter"><div class="pf-m-12-col pf-m-5-col-on-lg pf-m-5-col-on-md pf-m-12-col-on-sm"><img src="https://developers.redhat.com/sites/default/files/styles/keep_original/public/MLOps%20Platform.webp?itok=IPkqmiIE" width="80" height="80" class="align-center"><p><meta charset="utf-8"></p><h4 class="text-align-center">MLOps platform</h4><p>An MLOps platform, with workflows inspired by DevOps and GitOps principles, to integrate ML models into the software development process. </p><ul><li><meta charset="utf-8">A flexible and scalable platform with tools to build, deploy, and manage AI-enabled applications.</li><li>Leverage the vast number of pre-trained models from open source providers. </li><li>Utilize ML frameworks and serving formats like Pytorch, Tensorflow, ONNX, and others for model development.</li><li>Deliver inference in a hybrid cloud environment at high performance and throughput.</li></ul></div><div class="text-align-center pf-m-12-col pf-m-2-col-on-lg pf-m-2-col-on-md pf-m-12-col-on-sm"><br><br><br><br><br><br><img src="https://developers.redhat.com/sites/default/files/styles/keep_original/public/Plus%20Icon.webp?itok=OecexDn5" alt="AI/ML" width="79" height="79"></div><div class="pf-m-12-col pf-m-5-col-on-lg pf-m-5-col-on-md pf-m-12-col-on-sm"><img src="https://developers.redhat.com/sites/default/files/styles/keep_original/public/Application%20Platform%20.webp?itok=XDVK10z7" width="80" height="80" class="align-center"><h4 class="text-align-center">Application platform</h4><p>A consistent Kubernetes-based application platform for development, deployment, and management of existing and modernized cloud-native applications that runs on any cloud. </p><ul><li>A wide range of languages, runtimes, and frameworks to develop business logic. </li><li>Integration technologies like API Management, SSO and more, that allow the applications to be exposed securely and at scale.</li><li>Tools that support modern CI/CD DevOps practices.</li><li>Developer Tools that enable seamless on-boarding and DevSecOps.</li></ul></div></div></body></html> </div> </div> </div> </div> </div> </div> <div class="block block-entity-block block-entity-blockassembly" data-block-plugin-id="entity_block:assembly"> <div> <div id="ai-ml-main-tab-capabilities-overview-100488" class="assembly assembly-type-rich_text component rich-text pf-c-content"> <div class="pf-l-grid pf-m-gutter"> <div class="pf-l-grid__item"> <div class="rich-text-content"> <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"> <html><body><div class="pf-l-grid pf-m-gutter"><div class="pf-m-12-col pf-m-9-col-on-lg pf-m-9-col-on-md pf-m-12-col-on-sm"><h3><span><strong>Hybrid cloud AI/ML platforms combine MLOps and application platform capabilities by: </strong></span></h3><ul><li dir="ltr" aria-level="1"><meta charset="utf-8">Providing developers, data engineers, data scientists and operations teams with consistency in how applications and models are developed, packaged, deployed, and managed.</li><li dir="ltr" aria-level="1"><meta charset="utf-8">Developing, training, tuning, deploying, and serving models and applications as containerized workloads through common interfaces and tools without dealing directly with the underlying complexities of a Kubernetes configuration, orchestration, security, and compliance with mature cloud native CI/CD practices.</li><li dir="ltr" aria-level="1"><span>Supporting containerized AI workloads and their specialized needs. </span></li><li dir="ltr" aria-level="1"><span>Enabling an ecosystem of specialized best-in-class open source projects and ISV software that complement and extend the platform.</span></li></ul></div><div class="pf-m-12-col pf-m-3-col-on-lg pf-m-3-col-on-md pf-m-12-col-on-sm"><p> </p><a href="https://developers.redhat.com/sites/default/files/styles/keep_original/public/ML%20platforms%20combine%20MLOps%20and%20application%20platform%20capabilities%20by%20%281%29.webp?itok=vPzoFWaw"><img src="https://developers.redhat.com/sites/default/files/styles/keep_original/public/ML%20platforms%20combine%20MLOps%20and%20application%20platform%20capabilities%20by%20%281%29.webp?itok=vPzoFWaw" alt="Hybrid cloud AI/ML platforms" width="209" height="217" class="align-center"></a></div></div></body></html> </div> </div> </div> </div> </div> </div> <div class="block block-entity-block block-entity-blockassembly" data-block-plugin-id="entity_block:assembly"> <div> <div id="aiml-latest-jump-nav-100605" class="assembly assembly-type-on_page_navigation component rhd-jump-to-nav pf-c-content"> <div class="pf-l-flex"> <div><ul class="on-page-nav-list pf-c-list pf-m-inline "><li><a href="#ai-ml-main-tab-capabilities-cards-100489">Hybrid cloud AI/ML platform capabilities</a></li><li><a href="#ai-ml-main-tab-ai-ml-learning-exercises-100490">AI/ML learning exercises</a></li><li><a href="#ai-ml-main-tab-recent-articles-100491">Recent AI/ML articles</a></li></ul></div> </div> </div> </div> </div> <div class="block block-entity-block block-entity-blockassembly" data-block-plugin-id="entity_block:assembly"> <div> <div id="ai-ml-main-tab-capabilities-cards-100489" class="assembly assembly-type-rich_text component rich-text pf-c-content"> <div class="pf-l-grid pf-m-gutter"> <div class="pf-l-grid__item"> <div class="rich-text-content"> <h2 class="pf-c-title">Hybrid cloud AI/ML platform capabilities</h2> <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"> <html><body><p>Learn about the capabilities of a hybrid cloud AI/ML platform including AI workloads, an integrated MLOps and application development platform, and developer productivity tools.</p><div class="pf-l-grid pf-m-gutter"><div class="pf-m-12-col pf-m-4-col-on-lg pf-m-4-col-on-md pf-l-grid__item pf-c-card pf-m-flat"><div class="pf-c-card__body"><img src="https://developers.redhat.com/sites/default/files/styles/keep_original/public/AI%20Workload%20Support.webp?itok=pEztyeQF" width="80" height="80" class="align-center"><p><meta charset="utf-8"><meta charset="utf-8"></p><h4>AI workload support</h4><p>Containerized workloads deployed across the hybrid cloud, based on the core AI techniques of machine learning (ML) and deep learning where data and information drive these workloads.</p><p><a class="rhd-m-link" href="https://developers.redhat.com/aiml/ai-workloads" target="_blank">Learn more<span> </span><em class="fa-arrow-right far"><span> </span></em><span> </span></a></p></div></div><div class="pf-m-12-col pf-m-4-col-on-lg pf-m-4-col-on-md pf-l-grid__item pf-c-card pf-m-flat"><div class="pf-c-card__body"><img src="https://developers.redhat.com/sites/default/files/styles/keep_original/public/Integrated%20MLOps%20%26%20App%20Dev%20Platform%20%20.webp?itok=-caZBZ1F" width="80" height="80" class="align-center"><p><meta charset="utf-8"><meta charset="utf-8"></p><h4><meta charset="utf-8">Integrated MLOps & App Dev platform</h4><p><meta charset="utf-8">A common platform to bring IT, data science, and app dev teams to support the end-to-end lifecycle of ML models and cloud native applications.</p><p><a class="rhd-m-link" href="https://developers.redhat.com/aiml/integrated-hybrid-cloud-mlops-app-platform" target="_blank">Learn more<span> </span><em class="fa-arrow-right far"><span> </span></em><span> </span></a></p></div></div><div class="pf-m-12-col pf-m-4-col-on-lg pf-m-4-col-on-md pf-l-grid__item pf-c-card pf-m-flat"><div class="pf-c-card__body"><img src="https://developers.redhat.com/sites/default/files/styles/keep_original/public/Developer%20Tools%20%26%20AI%20Enabled%20Products.webp?itok=gp9L8ruZ" width="80" height="80" class="align-center"><p><meta charset="utf-8"><meta charset="utf-8"></p><h4><meta charset="utf-8">Developer Tools & AI-enabled products</h4><p><meta charset="utf-8">AI-enabled code generation, internal developer portals, and MLSec Ops that enhance the developer experience through  open source powered developer tools.</p><p><a class="rhd-m-link" href="https://developers.redhat.com/topics/developer-productivity/tools" target="_blank">Learn more<span> </span><em class="fa-arrow-right far"><span> </span></em><span> </span></a></p></div></div></div></body></html> </div> </div> </div> </div> </div> </div> <div class="block block-entity-block block-entity-blockassembly" data-block-plugin-id="entity_block:assembly"> <div> <div id="ai-ml-main-tab-ai-ml-learning-exercises-100490" class="assembly assembly-type-rich_text component rich-text pf-c-content"> <div class="pf-l-grid pf-m-gutter"> <div class="pf-l-grid__item"> <div class="rich-text-content"> <h2 class="pf-c-title">AI/ML learning exercises</h2> <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"> <html><body><p dir="ltr">Try these self-directed learning exercises to gain experience and bring your creativity to AI and Red Hat OpenShift AI – Red Hat’s dedicated platform for building AI-enabled applications. Learn about the full suite of MLOps to train, tune, and serve models for purpose-built applications. </p><div class="pf-l-grid pf-m-gutter"><div class="pf-m-12-col pf-m-4-col-on-lg pf-m-4-col-on-md pf-l-grid__item pf-c-card pf-m-flat"><div class="pf-c-card__body"><img src="https://developers.redhat.com/sites/default/files/styles/keep_original/public/fundamentals_of_openshift_ai.webp?itok=bPBuTwPB" width="80" height="80" class="align-center"><p><meta charset="utf-8"><meta charset="utf-8"></p><h4><meta charset="utf-8">Fundamentals of OpenShift AI</h4><p>Learn the foundations of Red Hat OpenShift AI, that gives data scientists and developers a powerful AI/ML platform for building AI-enabled applications. Data scientists and developers can collaborate to move quickly from experiment to production in a consistent environment.</p><p><a class="rhd-m-link" href="https://developers.redhat.com/learn/openshift/fundamentals-openshift-ai" target="_blank">Try it<span> </span><em class="fa-arrow-right far"><span> </span></em><span> </span></a></p></div></div><div class="pf-m-12-col pf-m-4-col-on-lg pf-m-4-col-on-md pf-l-grid__item pf-c-card pf-m-flat"><div class="pf-c-card__body"><img src="https://developers.redhat.com/sites/default/files/styles/keep_original/public/Image%20Classification%20with%20JupyterHub.webp?itok=eJuEHlur" width="80" height="80" class="align-center"><p><meta charset="utf-8"><meta charset="utf-8"></p><h4><meta charset="utf-8"><meta charset="utf-8">Real-time Data Collection and Processing</h4><p>Create a demo application using the full development suite: MobileNet V2 with Tensor input/output, transfer learning, live data collection, data preprocessing pipeline, and modeling training and deployment on a Red Hat OpenShift AI developer sandbox.</p><p><a class="rhd-m-link" href="https://developers.redhat.com/learn/openshift/real-time-data-collection-and-processing-using-aiml-openshift-ai" target="_blank">Try it<span> </span><em class="fa-arrow-right far"><span> </span></em><span> </span></a></p></div></div><div class="pf-m-12-col pf-m-4-col-on-lg pf-m-4-col-on-md pf-l-grid__item pf-c-card pf-m-flat"><div class="pf-c-card__body"><img src="https://developers.redhat.com/sites/default/files/styles/keep_original/public/Extract%20Live%20Data.webp?itok=qq59n-r8" width="80" height="80" class="align-center"><p><meta charset="utf-8"><meta charset="utf-8"></p><h4><meta charset="utf-8"><meta charset="utf-8">Data Engineering: Extract Live Data</h4><p>Learn engineering techniques for extracting live data from images and logs of the fictional bike-sharing app, Pedal. You will deploy a Jupyter Notebook environment on Red Hat OpenShift AI, develop a pipeline to process live image and log data, and also extract meaningful insights from the collected data.</p><p><a class="rhd-m-link" href="https://developers.redhat.com/aiml/data-engineering-extract-live-data-collection-images-and-logs" target="_blank">Try it<span> </span><em class="fa-arrow-right far"><span> </span></em><span> </span></a></p></div></div></div></body></html> </div> </div> </div> </div> </div> </div> <div class="block block-entity-block block-entity-blockassembly" data-block-plugin-id="entity_block:assembly"> <div> <div id="ai-ml-main-tab-recent-articles-100491" class="assembly assembly-type-dynamic_content_feed component rhd-c-card-grid pf-c-content"> <div class="pf-l-flex"> <h2 class="pf-c-title pf-u-mb-md">Recent AI/ML articles</h2> </div> <div class="pf-l-flex rhd-c-card-grid__wrapper"> <rh-tile about="/articles/2025/04/03/how-navigate-llm-model-names" level="Unclassified" data-analytics-linktype="cta" data-analytics-text="How to navigate LLM model names" bleed=""> <div slot="image"> <div class="rhd-c-card__image-container"> <rh-tag class="rhd-c-card__tag"> Article </rh-tag> <picture> <source srcset="/sites/default/files/styles/card_hero/public/LLM%20fine%20tuning%20share%20graphics.png.webp?itok=SkzsISlO 1x" type="image/webp" width="686" height="360"/> <source srcset="/sites/default/files/styles/card_hero/public/LLM%20fine%20tuning%20share%20graphics.png?itok=SkzsISlO 1x" type="image/png" width="686" height="360"/> <img loading="eager" srcset="/sites/default/files/styles/card_hero/public/LLM%20fine%20tuning%20share%20graphics.png?itok=SkzsISlO 1x" width="686" height="360" src="/sites/default/files/styles/card_hero/public/LLM%20fine%20tuning%20share%20graphics.png?itok=SkzsISlO" alt="LLM fine tuning" typeof="foaf:Image" /> </picture> </div> </div> <div slot="headline"> <div class="rhd-c-taxonomy-list__date"> Apr 03, 2025 </div> <div class="rhd-c-card__title"> <h3> <a href="/articles/2025/04/03/how-navigate-llm-model-names" title="How to navigate LLM model names">How to navigate LLM model names</a> </h3> </div> <div class="rhd-c-card__author"> <div class="rhd-c-main-author-with-count rhd-c-author__circle_profile_pic"> <span class="rhd-c-main-author-with-count__author"> <span class="rhd-c-main-author-with-count__author-image"> </span> <span class="rhd-c-main-author-with-count__author-name"> Trevor Royer </span> </span> </div> </div> </div> <div class="rhd-c-card__description"> <p> Learning the naming conventions of large language models (LLMs) helps users... </p> </div> </rh-tile> <rh-tile about="/articles/2025/04/03/simplify-ai-data-integration-ramalama-and-rag" level="Unclassified" data-analytics-linktype="cta" data-analytics-text="Simplify AI data integration with RamaLama and RAG" bleed=""> <div slot="image"> <div class="rhd-c-card__image-container"> <rh-tag class="rhd-c-card__tag"> Article </rh-tag> <picture> 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value="latam__ecuador">Ecuador</option> <option value="latam__el_salvador">El Salvador</option> <option value="latam__falkland_islands__malvinas_">Falkland Islands (Malvinas)</option> <option value="latam__french_guiana">French Guiana</option> <option value="latam__grenada">Grenada</option> <option value="latam__guatemala">Guatemala</option> <option value="latam__guyana">Guyana</option> <option value="latam__haiti">Haiti</option> <option value="latam__honduras">Honduras</option> <option value="latam__jamaica">Jamaica</option> <option value="latam__mexico">Mexico</option> <option value="latam__micronesia__federated_states_of">Micronesia, Federated States of</option> <option value="latam__montserrat">Montserrat</option> <option value="latam__nicaragua">Nicaragua</option> <option value="latam__panama">Panama</option> <option value="latam__paraguay">Paraguay</option> <option value="latam__peru">Peru</option> <option value="latam__puerto_rico">Puerto Rico</option> <option value="latam__saint_kitts_and_nevis">Saint Kitts and Nevis</option> <option value="latam__saint_lucia">Saint Lucia</option> <option value="latam__saint_vincent_and_the_grenadines">Saint Vincent and the Grenadines</option> <option value="latam__suriname">Suriname</option> <option value="latam__trinidad_and_tobago">Trinidad and Tobago</option> <option value="latam__turks_and_caicos_islands">Turks and Caicos Islands</option> <option value="latam__united_states_minor_outlying_islands">United States Minor Outlying Islands</option> <option value="latam__uruguay">Uruguay</option> <option value="latam__venezuela">Venezuela</option> <option value="latam__virgin_islands__british">Virgin Islands, British</option> <option value="latam__virgin_islands__u.s.">Virgin Islands, U.S.</option> </optgroup> </select> </pfe-select> </div> <div class="js-form-item form-item js-form-type-textfield form-item-zendesk-custom-field-customer-account-number 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data-drupal-selector="edit-captcha"></div> <input data-drupal-selector="edit-submit" type="submit" id="edit-submit" name="op" value="Send" class="button js-form-submit form-submit pf-m-primary pf-u-mr-md pf-c-button pf-u-ml-0" /> <input data-drupal-selector="form-pg0gep1rzmhxt38-j3dwazq6nkt-ndxo3leqgip72m0" type="hidden" name="form_build_id" value="form-Pg0GEp1rZMhxt38-j3DWAZQ6NkT_nDxo3lEQgip72M0" /> <input data-drupal-selector="edit-rh-zendesk-support-form" type="hidden" name="form_id" value="rh_zendesk_support_form" /> <input data-drupal-selector="edit-simple-recaptcha-token" type="hidden" name="simple_recaptcha_token" value="" /> <input data-drupal-selector="edit-simple-recaptcha-type" type="hidden" name="simple_recaptcha_type" value="v2" /> </form> </div> </div> </pfe-modal> </div> </div> </body> </html>

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