- <div class="col-sm-5">
- <p><a href="https://arvados.org/">Arvados</a> enables you to quickly begin using cloud computing resources in your data science work. It allows you to track your methods and datasets, share them securely, and easily re-run analyses.
- </p>
- <p><strong>Quickstart</strong>: Check out our <a href="{{ site.baseurl }}/start/index.html">key features</a>, complete with screenshots, and then follow our tutorial to <a href="{{ site.baseurl }}/start/getting_started/firstpipeline.html">run your first pipeline</a> using our <a href="http://lp.curoverse.com/beta-signup/">public beta</a>.
- </p>
- <p><strong>News</strong>: Read our <a href="https://arvados.org/projects/arvados/blogs">blog updates</a> or look through our <a href="https://arvados.org/projects/arvados/activity">recent developer activity</a>.
+ <div class="col-sm-6">
+ <p><strong>What is Arvados</strong>
+ <p><a href="https://arvados.org/">Arvados</a> is a platform for managing compute and storage for cloud and HPC clusters. It allows you to track your methods and datasets, share them securely, and easily re-run analyses. It also make it possible to run analysis across multiple clusters (HPC, cloud, or hybrid) with <a href="{{site.baseurl}}/user/cwl/federated-workflows.html">Federated Multi-Cluster Workflows</a>.