Announcing two new features in @GoogleColab! 🚀
1️⃣ Visualization Mode: Build dashboards using plain language with Gemini.
2️⃣ Fullscreen Sharing: Share interactive outputs and dashboards instantly with one link.
Learn more in our launch blog below 👇
Colaboratory
@GoogleColab
Colab is the tool Google uses to build Gemini, the easiest way to access TPUs and NVIDIA GPUs, and the best way to learn how to program in Python.
- Bring the power of Colab straight to your terminal! ⚡️ Access GPUs/TPUs, run scripts remotely, and supercharge your AI agents with the new Colab CLI. Dive into the details from @googledevs below! 👇The new Colab CLI bridges the gap between local environments and the cloud, providing a zero-friction execution platform for developers and AI agents alike. The CLI Supports: ⚡️ Agent-driven Colab workflows ⚡️ Instant GPU/TPU provisioning ⚡️ Remote script execution ⚡️
- Your data science workflows, supercharged by Gemini. ⚡️ Dive into AI-first Colab and let us know what you think!Move from question to insight faster with the AI first Colab, powered by Gemini. Everything you need to accelerate your data science workflow is here. ✨ Generate code and explore data through simple prompts 🛠️ Rewrite code to fix errors on the fly 📋 Propose plans and execute
- Try these two new features in Colab: 💻 Custom Instructions- travel with your notebook, so anyone you share it with gets the tailored AI experience you designed. 🧑🏫 Learn Mode- acts as a personal tutor for learning new material. Learn more here:
- 🤖 Your favorite AI agents + Colab’s powerful cloud compute. 🤝 Colab's new Open Source MCP Server gives your agents programmatic access to control the entire notebook development lifecycle. Build, run, and visualize—securely in the cloud. Dive into the details and the GitHubBringing Google Colab’s secure environment to your AI agents. ☁️🛠️ With the new open-source Colab MCP Server, your agents can now natively write and execute code inside a Colab Notebook. Secure, automated, and ready to go.
