- Home
- Coding Playgrounds
- Kaggle Notebooks
On the recordRead 14 Oct 202650 facts
Kaggle Notebooks
Plans and prices
Kaggle Notebooks free
Free
12-hour CPU/GPU sessions · 9-hour TPU sessions · 20 GB auto-saved working disk · weekly GPU quota usually 30 hours or higher
Read 14 Oct 2026 · kaggle.com
Kaggle Notebooks
Free
Free P100 GPU and TPU v3-8 availability is limited and may queue · CPU/GPU sessions up to 12 hours; TPU sessions up to 9 hours · 20 GB autosaved disk
Read 2 Oct 2026 · kaggle.com
On the record
- Acquisition news
- TechCrunch reported on March 8, 2017 that Google confirmed its acquisition of Kaggle and did not disclose deal terms.techcrunch.com · read 14 Oct 2026
- API
- Kaggle provides a command-line interface for interacting with the platform through terminal commands or shell scripts.kaggle.com · read 2 Oct 2026
- CLI licence
- The official Kaggle CLI is released under the Apache 2.0 licence.github.com · read 14 Oct 2026
- Company founders
- Crunchbase lists Anthony Goldbloom and Ben Hamner as founders.crunchbase.com · read 14 Oct 2026
- Company founding
- LinkedIn lists Kaggle as founded in 2010.linkedin.com · read 14 Oct 2026
- Company headquarters
- LinkedIn lists San Francisco, California as headquarters.linkedin.com · read 14 Oct 2026
- Company legal name
- Crunchbase lists the legal name as Kaggle Inc.crunchbase.com · read 14 Oct 2026
- Company ownership
- Crunchbase identifies Kaggle as a Google sub-organization acquired by Google.crunchbase.com · read 14 Oct 2026
- Company size
- LinkedIn lists Kaggle's company size as 11–50 employees.linkedin.com · read 14 Oct 2026
- Compliance enforcement
- Kaggle states that it has removed thousands of competition teams for rule violations and does not disclose detection information to prevent evasion.kaggle.com · read 14 Oct 2026
- Compute
- Users can add a free NVIDIA Tesla P100 GPU or TPU v3-8, subject to limited availability and possible queues.kaggle.com · read 2 Oct 2026
- Compute specifications
- Documented environments include four CPU cores with about 30 GB RAM; P100 and dual-T4 GPU options; and a TPU 1VM with 96 CPU cores and 330 GB RAM.kaggle.com · read 14 Oct 2026
- Data sources
- Users can attach public data sources, upload their own data, use outputs from other notebooks, and add multiple sources to one environment.kaggle.com · read 2 Oct 2026
- Dependency management
- Kaggle’s Dependency Manager installs external Python packages and saves their versions for reuse.kaggle.com · read 2 Oct 2026
- Dependency manager
- A Dependency Manager installs pip packages, including packages directly from GitHub, and creates an installation notebook for commits.kaggle.com · read 14 Oct 2026
- Documentation depth
- Official documentation covers notebooks, packages, GPU usage, TPU usage, models, API access, benchmarks, scheduling, and Jupyter Server connections.kaggle.com · read 14 Oct 2026
- Editor connections
- Users can connect to a Kaggle Jupyter Server from editors including Colab and VS Code.kaggle.com · read 2 Oct 2026
- Environment
- Notebook sessions run in Docker containers with pre-installed packages and customizable compute resources.kaggle.com · read 2 Oct 2026
