Run the workflow directly on a single computer: your own laptop or a workstation. Nothing shared, nothing in the cloud. This is the simplest setup and the fastest way to try things out.
Choose this if…
You want to test the platform on your own machine, you're working with small datasets, or you're a single user evaluating the tool before any wider rollout. Best for trying things out.
What you need
- A Mac or Linux computer (Windows works too, via Microsoft's built-in Linux compatibility layer called WSL2)
- Permission to install software on that machine, usually an admin account or someone who can install for you
- Enough CPU, memory and disk space for the data you plan to run. A current laptop is fine for getting started; bigger datasets need more horsepower
Setup guide coming soon
A step-by-step walkthrough for installing the platform locally is being prepared. In the meantime,
talk to us and we'll send you the current install instructions or run you through it on a call.
Run the workflow on shared compute that your team already manages: an AWS, Google Cloud or Azure account, or an on-premise HPC cluster (a shared computing system your IT team operates). Best when your data is already there.
Choose this if…
Your team already has a cloud account or shared HPC cluster, your data and compute already live there, and someone in your organisation has admin access to it. Best for shared compute, larger datasets and multi-user teams.
What you need
- One of: an active AWS, Google Cloud or Azure account your team manages, or an on-premise HPC cluster running Kubernetes (a system that schedules jobs across many machines)
- Someone with cluster admin access to do the initial setup, usually a member of your IT, platform or cloud-ops team
- A storage location (for example a cloud storage bucket, or a shared filesystem on the HPC cluster) that the compute can read and write
Setup guide coming soon
A detailed technical guide for cloud and HPC setups is being prepared for your IT team, covering Kubernetes versions, storage classes and permissions to provision. In the meantime,
talk to us and we'll work through it with your platform team directly.
Seqera Platform (formerly Nextflow Tower) is a managed launcher: a polished interface for starting workflows, watching them run and inviting collaborators. It does not provide compute or storage on its own. It sits on top of a cloud or HPC system that you also need.
Important. Seqera is orchestration only. Choosing Seqera Platform does not remove the need for a cloud or HPC backend. Seqera launches the runs and shows you the dashboard, but the actual compute happens on AWS, Google Cloud, Azure or your own Kubernetes cluster, and the data sits in a storage bucket on one of those. If you have neither today, you'll need to set up the cloud or HPC option first.
Choose this if…
Your organisation has already adopted Seqera Platform, or you want a managed dashboard for launching and monitoring workflows on top of an existing cloud or HPC backend. Best for teams that prefer a hosted control plane.
What you need
- An active Seqera Platform account with a workspace for your team (team workspaces require a paid Seqera account)
- A compute environment connected to it: a cloud or cluster backend already configured inside Seqera. Options are AWS Batch, Google Batch, Azure Batch or a Kubernetes cluster (so you still need one of the cloud or HPC accounts from the previous option)
- A storage bucket that the compute backend can reach (for example an AWS S3 or Google Cloud Storage bucket where workflow results land)
- Workspace admin rights so you can add pipelines and launch runs
Setup guide coming soon
A step-by-step Seqera setup guide is on its way, covering how to connect your existing cloud account, point it at a storage bucket and add Data Intuitive workflows. Until then,
talk to us and we'll help you wire it up to your environment.