Cloud research workstations
in seconds, not hours
Pre-configured AWS environments for researchers, labs, and classrooms. Launch with one command, stop paying when you're done — in your own AWS account.
Research computing, without the setup tax
Prism runs in your own AWS account and handles the parts researchers shouldn't have to: instance choice, storage, provisioning, and cost.
Launch in seconds
One command picks the right instance, configures storage, and installs your tools. prism workspace launch python-ml my-project.
Cost control built in
Per-project budgets with live enforcement, spot pricing, idle detection, and automatic hibernation — no surprise bills.
Research-ready templates
Python ML, R/RStudio, genomics, bioinformatics — pre-configured with the tools your field actually uses.
Built for labs & classes
Provision workstations for a whole class via invitation codes. Projects, budget pools, and per-student usage tracking.
CLI and desktop app
Script it from the terminal or manage visually in the desktop app. Both share one always-on daemon.
Your account, your data
Runs in your AWS account with per-project IAM scoping, SSH key management, and encrypted storage. Nothing leaves your control.
Up and running in minutes
Install Prism, authenticate with AWS, and launch your first workspace.
# 1. Install brew install scttfrdmn/tap/prism # 2. Authenticate with AWS (browser login) aws login # 3. Launch your first workspace prism workspace launch python-ml my-project
# 1. Install (Scoop) scoop bucket add scttfrdmn https://github.com/scttfrdmn/scoop-bucket scoop install prism # 2. Authenticate with AWS aws login # 3. Launch your first workspace prism workspace launch python-ml my-project
# 1. Download the latest release from # github.com/scttfrdmn/prism/releases/latest tar xz -f prism_<version>_linux_amd64.tar.gz sudo mv prism prismd /usr/local/bin/ # 2. Authenticate with AWS aws login # 3. Launch your first workspace prism workspace launch python-ml my-project
From zero to workstation
Pick a template
Choose from research-ready environments, or run prism init for a guided first launch.
Launch
Prism sizes the instance, sets up storage and SSH, and provisions your tools automatically.
Work
Connect over SSH or open Jupyter/RStudio in your browser via a secure tunnel.
Stop paying
Hibernate or stop when idle — automatically. Storage persists; compute cost doesn't.
Launch your first workspace
Free and open source. Runs in your own AWS account.