Google Colab
Google's hosted Jupyter notebooks in the browser — free GPU/TPU access, zero-setup Python, Google Drive integration and AI assistance (Gemini).
Description
Google Colab (Colaboratory) is a hosted Jupyter notebook environment that runs in the browser, developed by Google Research and made publicly available in 2017. It lets you write and run code (primarily Python, and also R and Julia) with zero setup — everything runs on Google's machines in the cloud.
Colab offers free (rate-limited) access to GPU and TPU accelerators, which makes it popular for machine learning, data analysis, research and education. Notebooks are stored in Google Drive and support real-time collaboration (like Google Docs). The platform integrates with Google Drive, GitHub, BigQuery and Google Cloud Storage, and with popular ML libraries (TensorFlow, PyTorch, scikit-learn).
Colab provides Gemini-powered AI features — a coding assistant and a Data Science Agent. Its business model is freemium: alongside the free tier there are paid plans (Pay As You Go with compute units, Colab Pro, Pro+) and an Enterprise option (Colab Enterprise) within Google Cloud, offering more powerful, longer-available hardware (including T4, L4, A100 GPUs and TPUs).
Data & KnowledgeData & Knowledge ManagementData connectors, vector database integration, native vector search and data management (PII, provenance, synthetic data).
ApplicationsAI ApplicationsDomains and use cases this platform is best suited for — from RAG and fine-tuning to scientific research.
Pricing & Business ModelPricing & Business ModelBilling models (usage-based, provisioned throughput), resource limits and SLA parameters (uptime, support tiers).
Pricing models
Resource quotas
SLA & Support