{% extends "ai/base_ai.html" %}

{% block title %}Charmed MLflow{% endblock %}

{% block meta_description %}
  MLflow is an open-source platform used for managing machine learning workflows
{% endblock %}

{% block meta_copydoc %}
  https://docs.google.com/document/d/1kafEsmi8OpaCD-WK4XnIBMgMStHUJNhM86nBN91e4ZI/edit
{% endblock meta_copydoc %}

{% block body_class %}
  is-paper
{% endblock body_class %}

{% block content %}

  <section class="p-strip is-shallow">
    <div class="row--25-75">
      <div class="col p-section--shallow">
        {{ image (
        url="https://assets.ubuntu.com/v1/da0946e1-mlflow.png",
        alt="MLflow",
        width="94",
        height="37",
        hi_def=True,
        loading="auto",
        ) | safe
        }}
      </div>
      <div class="col">
        <div class="p-section-shallow">
          <h1 class="u-no-margin--bottom u-no-padding--top">MLflow made easy</h1>
          <p class="p-heading--2">A seamless start to your machine learning journey with open source</p>
        </div>
        <p>
          Charmed MFlow is a lightweight and secure machine learning platform for any developer. It can be deployed on your infrastructure of choice, and is backed by expert support.
        </p>
        <a class="p-button--positive" href="/engage/lightweight-ml-mlflow">Read about lightweight ML with MLflow</a>
        <a class="p-button js-invoke-modal" href="/ai/contact-us">Contact us</a>
      </div>
    </div>
    <div class="u-fixed-width u-no-padding u-hide--small u-hide--medium">
      <img src="https://assets.ubuntu.com/v1/7f34ade9-website_suru_25.jpg"
           alt=""
           style="aspect-ratio: 5.1775700934579;
                  width: 100%" />
    </div>
  </section>

  <section class="p-section">
    <div class="row--50-50">
      <hr class="p-rule" />
      <div class="col">
        <div class="p-section--shallow">
          <h2>
            Get the features of
            <br class="u-hide--small" />
            upstream MLflow
          </h2>
        </div>
      </div>
      <div class="col">
        <p>
          Charmed MLflow, Canonical's distribution of the upstream project, comes with all the upstream features, including:
        </p>
        <div class="p-section--shallow">
          <hr class="p-rule--muted" />
          <ul class="p-list--divided has-description">
            <li class="p-list__item has-bullet">Experiment tracking</li>
            <p>Record and query experiments: code, data, config and results.</p>
            <li class="p-list__item has-bullet">Reproducible projects</li>
            <p>Package data science code in a format that enables reproducible runs on any platform.</p>
            <li class="p-list__item has-bullet">Model registry</li>
            <p>Store, annotate and manage models in a centralised repository.</p>
            <li class="p-list__item has-bullet">Models deployment</li>
            <p>Deploy machine learning models in diverse serving environments.</p>
          </ul>
          <a href="/blog/what-is-mlflow">Learn more about MLflow&nbsp;&rsaquo;</a>
        </div>
      </div>
    </div>
  </section>

  <section class="p-section">
    <div class="row--50-50">
      <hr class="p-rule" />
      <div class="col">
        <div class="p-section-shallow">
          <h2>With the peace of mind of a secure and supported solution</h2>
        </div>
      </div>
      <div class="col">
        <p>In addition to upstream features, Charmed MLflow includes:</p>
        <div class="p-section--shallow">
          <hr class="p-rule--muted" />
          <ul class="p-list--divided">
            <li class="p-list__item is-ticked">Integration with machine learning and big data tools</li>
            <li class="p-list__item is-ticked">Simplified deployment on any infrastructure</li>
            <li class="p-list__item is-ticked">Security patching</li>
            <li class="p-list__item is-ticked">Bug fixing</li>
          </ul>
        </div>
      </div>
    </div>
  </section>

  <section class="p-section">
    <div class="u-fixed-width">
      <hr class="p-rule" />
      <p class="p-text--small-caps">Use Charmed MLflow with</p>
      <div class="p-logo-section">
        <div class="p-logo-section__items">
          <div class="p-logo-section__item">
            {{ image (
            url="https://assets.ubuntu.com/v1/e332a639-jupyter-logo.png",
            alt="Jupiter",
            width="129",
            height="256",
            hi_def=True,
            loading="lazy",
            attrs={"class": "p-logo-section__logo"},
            ) | safe
            }}
          </div>
          <div class="p-logo-section__item">
            <a href="https://canonical.com/data/spark">
              {{ image (
              url="https://assets.ubuntu.com/v1/4f123dc2-apache-spark-logo.png",
              alt="Apache Spark",
              width="150",
              height="256",
              hi_def=True,
              loading="lazy",
              attrs={"class": "p-logo-section__logo"},
              ) | safe
              }}
            </a>
          </div>
          <div class="p-logo-section__item">
            <a href="/ai/what-is-kubeflow">
              {{ image (
              url="https://assets.ubuntu.com/v1/35962db5-kubeflow-logo.png",
              alt="Kubeflow",
              width="89",
              height="256",
              hi_def=True,
              loading="lazy",
              attrs={"class": "p-logo-section__logo"},
              ) | safe
              }}
            </a>
          </div>
          <div class="p-logo-section__item">
            {{ image (
            url="https://assets.ubuntu.com/v1/33625a37-Grafana.png",
            alt="Grafana",
            width="111",
            height="256",
            hi_def=True,
            loading="lazy",
            attrs={"class": "p-logo-section__logo"},
            ) | safe
            }}
          </div>
          <div class="p-logo-section__item">
            {{ image (
            url="https://assets.ubuntu.com/v1/53b0513c-prometheus.png",
            alt="",
            width="89",
            height="256",
            hi_def=True,
            loading="lazy",
            attrs={"class": "p-logo-section__logo"},
            ) | safe
            }}
          </div>
          <div class="p-logo-section__item">
            <a href="https://juju.is/">
              {{ image (
              url="https://assets.ubuntu.com/v1/8875229f-Juju-logo.png",
              alt="Juju",
              width="133",
              height="256",
              hi_def=True,
              loading="lazy",
              attrs={"class": "p-logo-section__logo"},
              ) | safe
              }}
            </a>
          </div>
        </div>
      </div>
    </div>
  </section>

  <section class="p-section">
    <div class="row--50-50">
      <hr class="p-rule" />
      <div class="col">
        <div class="p-section--shallow">
          <h2>Deploy easily on any infra, from workstations to public clouds</h2>
        </div>
      </div>
      <div class="col">
        <div class="p-strip is-shallow">
          <img src="https://assets.ubuntu.com/v1/b21b2f8a-ai-mlflow.svg"
               alt="MLflow" />
        </div>
        <p>
          Run Charmed MLflow on any environment. The machine learning platform is made for everyone &ndash; from enthusiasts who are just getting started to enterprises running workloads at scale.
        </p>
        <div class="p-section--shallow">
          <hr class="p-rule--muted" />
          <ul class="p-list--divided">
            <li class="p-list__item is-ticked">Quickly deploy it on a workstation</li>
            <li class="p-list__item is-ticked">Deploy on any CNCF-conformant Kubernetes</li>
            <li class="p-list__item is-ticked">Run it on a public cloud</li>
          </ul>
          <a class="p-button"
             href="https://documentation.ubuntu.com/charmed-mlflow">Deploy Charmed MLflow on any infra</a>
        </div>
      </div>
      <hr />
    </div>
  </section>

  <section class="p-strip">
    <div class="u-fixed-width">
      <p class="p-heading--2">
        <a href="/ai">Why partner with Canonical for your enterprise AI project</a>
      </p>
    </div>
  </section>

  <section class="p-strip">
    <div class="row--25-75 is-split-on-medium">
      <hr class="p-rule" />
      <div class="col">
        <div class="p-section--shallow">
          <h2>MLflow services</h2>
        </div>
      </div>
      <div class="col">
        <div class="row">
          <div class="col-3">
            <h3 class="p-heading--5">Managed services</h3>
          </div>
          <div class="col-6">
            <div class="p-section--shallow">
              <p>
                We manage your MLflow deployments on any cloud, including: automatically deploying, patching, optimising and upgrading with our open source operator.
              </p>
              <hr class="p-rule--muted" />
              <ul class="p-list--divided">
                <li class="p-list__item is-ticked">Backed by a Service Level Agreement (SLA)</li>
                <li class="p-list__item is-ticked">Low cost of ownership</li>
                <li class="p-list__item is-ticked">Expert help in application operations</li>
                <li class="p-list__item is-ticked">24/7 support included</li>
              </ul>
              <a class="js-invoke-modal" href="/ai/contact-us">Contact us&nbsp;&rsaquo;</a>
            </div>
          </div>
        </div>
        <hr class="p-rule" />
        <div class="row">
          <div class="col-3">
            <h3 class="p-heading--5">Enterprise support</h3>
          </div>
          <div class="col-6">
            <div class="p-section--shallow">
              <p>
                We provide 24/7 phone and ticket support for your MLflow deployments on any environment with an Ubuntu Pro &plus; Support subscription.
              </p>
              <hr class="p-rule--muted" />
              <ul class="p-list--divided">
                <li class="p-list__item is-ticked">Backed by an SLA</li>
                <li class="p-list__item is-ticked">Quickly resolve technical support issues</li>
                <li class="p-list__item is-ticked">Expert help in applications operations, troubleshooting and bug fixes</li>
              </ul>
              <a class="js-invoke-modal" href="/support">Learn more about enterprise support&nbsp;&rsaquo;</a>
            </div>
          </div>
        </div>
      </div>
      <hr />
    </div>
  </section>

  <section class="p-strip">
    <div class="u-fixed-width">
      <p class="p-heading--2">
        <a href="/ai/consulting">Speed up your AI journey with our consulting services</a>
      </p>
    </div>
  </section>

  <section class="p-strip">
    <div class="row--50-50">
      <hr class="p-rule" />
      <div class="col">
        <div class="p-section--shallow">
          <h2>MLflow resources</h2>
        </div>
      </div>
      <div class="col">
        <div class="p-section--shallow">
          <p class="p-heading--5 u-no-margin--bottom">
            <a href="https://documentation.ubuntu.com/charmed-mlflow">Charmed MLflow docs</a>
          </p>
          <p>Read more about Charmed MLflow's capabilities and follow our tutorials.</p>
        </div>
        <hr class="p-rule" />
        <div class="p-section--shallow">
          <p class="p-heading--5 u-no-margin--bottom">
            <a href="/engage/mlflow-introduction">Intro to MLflow</a>
          </p>
          <p>Understand the differences between the upstream project and Canonical's distribution.</p>
        </div>
        <hr class="p-rule" />
        <div class="p-section--shallow">
          <p class="p-heading--5 u-no-margin--bottom">
            <a href="/engage/kubeflow-vs-mlflow">Kubeflow vs. MLflow</a>
          </p>
          <p>Understand the differences between the most famous open source solutions.</p>
        </div>
        <hr class="p-rule" />
        <div class="p-section--shallow">
          <p class="p-heading--5 u-no-margin--bottom">
            <a href="/engage/mlops-guide">Guide to MLOps</a>
          </p>
          <p>Learn how to take models to production using open source MLOps platforms.</p>
        </div>
      </div>
    </div>
  </section>

  <section class="p-strip--white is-deep">
    <div class="u-fixed-width">
      <p class="p-heading--2">Start your machine learning journey with open source</p>
      <a class="p-button--positive"
         href="https://documentation.ubuntu.com/charmed-mlflow">Install Charmed MLflow</a>
      <a class="p-button js-invoke-modal" href="/ai/contact-us">Contact us</a>
    </div>
  </section>
  <!-- Set default Marketo information for contact form below-->
  <div class="u-hide"
       id="contact-form-container"
       data-form-location="/shared/forms/interactive/ai"
       data-form-id="3231"
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       data-return-url="https://ubuntu.com/ai/thank-you?product=ai-managed"
       data-lp-url="https://pages.ubuntu.com/things-contact-us.html"></div>
  <script src="/static/js/src/ai-form.js"></script>
{% endblock content %}