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Access and Security

• Single sign-on: Log in with your existing NASA identity. No new passwords to remember.
• Strong authentication: Secure your account with multi-factor authentication (like a PIV badge or code) and passwordless sign-in.
• External collaboration: Partners from universities or other agencies can get access. Their institutions can even connect their own login systems.
• Built-in access controls: Your workspace only accesses data that you and your project are allowed to see. You never have to manage security keys or secrets.
• Data encryption: Your data is fully encrypted both when it is stored and when it is moving across the network.
• Active firewall: A managed web application firewall filters every request to keep the platform secure.
• True user accounts: You get a unique username and personal file ownership, making file sharing work exactly as expected.
• External cloud access: Project admins can link external cloud roles. Your workspace inherits this access at startup, letting you easily read data from a mission or institution account.

Flexible Workspaces & Computing

• Instant access: Start a workspace on demand immediately—no support tickets or waiting required.
• Flexible sizing: Choose your exact compute power at startup: Standard (4 GB memory / 4 CPU), Large (8 GB / 4 CPU), Extra Large (16 GB / 4 CPU), or up to 64 GB / 8 CPU on demand.
• Pre-installed software: Jump right in with Earth science, Python, and AI tools already loaded. Advanced users can also bring their own custom container images (a packaged set of software).
• Distributed computing: Spread a single, massive analysis across multiple machines when you need more power.
• Background processing: Send long-running notebooks to process on their own. The job keeps running even if you close your browser, freeing up your active session.
• Auto-scaling capacity: The platform automatically adds and removes computing machines behind the scenes based on user demand.

Storing the science

• Your own space: Your own private storage where files are saved securely and are waiting for you when you return.
• Team space: A collaborative file system for your project team to store and share data, models, and results.
• Project object storage: Private, large-scale cloud storage for your project that you can access directly from your notebook.
• Integrated data browser: Browse and download files from your project storage—as well as from public AWS science datasets—directly inside JupyterLab.

Integrated AI Tools

• AI in the notebook: Chat with AI assistants and run agents directly inside JupyterLab, powered by various model providers.
• Targeted coding help: Ask the AI to write code, explain complex sections, or fix errors within a specific notebook or a single cell.
• Agents and a secure gateway: Run AI agents on the platform through a single, trusted entry point. For safety, some workflows require human approval before taking action.
• The AI Registry in JupyterLab: Access a hub of NASA-validated AI building blocks—including MCP servers, skills, agents, models, prompts, and harnesses. Use the AgentRegistry panel to search, deploy, and equip your AI assistant with these tools. (Currently rolling out to all projects; See the tool reference.
• Model endpoints on demand: Import and call your own custom models, or connect to managed models, directly from your notebook.

Working

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Together

• Real-

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• Time Co-Editing: Edit the same notebooks and files at the exact same time as your teammates. Markers show who

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• is online

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• , and everything saves to your shared space.
• Easy Activation: Project admins can turn this feature on instantly in the RPAdmin console without contacting support.

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See Working together on the same notebook.

Seeing

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What It Costs

• Your Own Usage: View your personal compute/storage usage and remaining budget right inside JupyterLab.
• The Big Picture: Project admins can track the entire team's spending against the budget from the RPAdmin console

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The RPAdmin console — self-service for project admins

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