JupyterLab, ready to go
A familiar notebook environment with frameworks and drivers pre-installed and versioned — your researchers pick up where they left off.
Research Environment
< 60sfrom click to running environment
A ready-to-use AI lab. One click, and you're in.
The Research Environment is an AI lab your researchers can start using immediately — JupyterLab notebooks in an optimized, benchmarked environment, launched with one click. No setup, no IT project, no waiting.
What you get
A lab that's ready before your researchers are
Everything is pre-configured and pre-benchmarked — your team starts with results, not setup.
One click, under 60 seconds
Your environment is running in under a minute. Iterate and improve quickly, and scale when something works.
Optimized and benchmarked
Every environment ships with a measured baseline — so you know what the hardware can do before you commit a run.
Reproducible team templates
Save an environment as a template and share it with the team. Everyone runs the same configuration — every time.
The difference
Days of setup, replaced by a single click
Research environments used to be a project in themselves. The Research Environment makes them a step.
Without Tara Cloud
- Provisioning hardware and negotiating capacity
- Installing drivers, CUDA, and frameworks
- Wiring dependencies by hand, per machine
- Debugging environment drift across the team
- Benchmarking to find out what you can run
With Tara Cloud
- One click from your browser
- A pre-configured JupyterLab environment
- Optimized and benchmarked, out of the box
- Reproducible templates for the whole team
- Your first run in under 60 seconds
Who it's for
Built for research teams
Teams that should be spending their time on experiments, not environments.
Corporate research labs
ML teams that need to move from idea to experiment in hours, not sprints.
University-affiliated teams
Academic researchers who need serious compute without a systems team on staff.
AI product teams
Teams prototyping and fine-tuning models before they reach production.
Billing model
Environment included, GPU usage metered
The environment itself is included with the service — you pay for the GPU compute your research actually uses, with clear visibility into every run.
Environment included
JupyterLab environments, templates, and the platform itself are included — not billed separately.
GPU usage metered
You're billed for the GPU compute your environments actually use, tracked in real time in the financing dashboard.
See it in action
Tell us about your research workloads. We will set up a walkthrough for you — including a live environment launch.