GCP – Announcing new capabilities for boosted productivity in Colab Enterprise
Colab Enterprise is a collaborative, managed notebook environment with the security and compliance capabilities of Google Cloud. Powerful integrated AI, seamless collaboration tools, enterprise readiness, and zero-config flexible compute are some of the many features making Colab Enterprise a trusted tool for developers at companies of all sizes.
Today, we’re excited to announce new productivity boosting capabilities in Colab Enterprise, including:
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Code assistance powered by Gemini to improve code development
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A Notebook gallery that helps you find sample notebooks to jumpstart your workflows
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A UX redesign to improve the editor experience and asset organization
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Gemini in Colab Enterprise
The latest version of Gemini, Google’s largest and most capable AI model, is now directly available in Colab Enterprise. With this integration, users can now use AI to assist with code completion and generation, increasing their productivity and decreasing time to value:
Code completion: With Code completion, customers can now start coding in their notebook and receive suggestions about potential ways to complete their code.
Code generation: With Code generation, customers can use Gemini to generate code for them based on a prompt.
Explain error: With Explain Error, customers can get an explanation of why errors occurred, giving information that’s helpful in debugging.
Fix error: With Fix Error, customers can ask for help to fix errors in your code so that you don’t have to consult external sources.
Sample Notebook Gallery
The Notebook gallery offers a one-stop shop to effortlessly discover, search, and build off of sample notebooks. These samples, code snippets, and getting started guides provide a practical, hands-on approach to learning new techniques, understanding best practices, and jumpstarting projects with ready-to-use templates and examples.
Notebook categories
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Notebooks in the gallery are organized by categories including “Getting Started”, “Partner Models”, and “RAG” making it easy to find relevant samples to build off of and accelerate your workflows. Use the dropdown arrows to explore notebooks within each category, and simply click to open.
Notebook tags and metadata
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See detailed information about sample notebooks before opening them, including a short description of the notebook’s contents, what modalities the notebook covers (e.g. text, image, video), and which AI models are used.
Search
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Use the gallery search bar to find sample notebooks using freeform text. Search based on keywords such as the name of the notebook or any of the listed metadata like type of model, and modality.
A UX refresh
We’ve redesigned Colab Enterprise to improve developer productivity. You can now access a new centralized dashboard to manage all your assets, an expanded editor for a more focused coding experience, a new dark mode, and integrations with other Vertex AI services such as Experiments, Model Evaluations, Tuning, Scheduler and Ray.
The new centralized dashboard which includes:
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Your private and shared notebooks
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Runtimes, templates, executions, and schedules
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A sample notebook gallery.
The new dark mode in Colab Enterprise boosts developer productivity by creating a more comfortable coding environment that minimizes eye fatigue during extended work periods.
We’ve also enhanced the core editor experience, which now includes:
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Expanded editor real estate, giving you more room to focus on what matters most: – writing code.
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A deeply integrated editor with MLOps tooling, so you can access your experiments, see model evaluation results, connect to Ray clusters, schedule a notebook run and much more, all accessible in a single MLOps panel.
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An easily accessible File menu system to find all the quick actions related to your notebook file and the editor.
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A stateful UI, so you can browse all your assets on the dashboard without losing all your open notebooks.
Get started today
Check these features out in Vertex AI Colab Enterprise today (console, documentation).
Read More for the details.