Dokumentasi instance Vertex AI Workbench
Instance Vertex AI Workbench adalah lingkungan pengembangan berbasis notebook Jupyter
untuk seluruh alur kerja data science. Instance Vertex AI Workbench sudah dikemas dengan
JupyterLab
dan memiliki rangkaian paket deep learning bawaan, termasuk dukungan untuk framework
TensorFlow dan PyTorch.
Pelajari lebih lanjut.
Mulai bukti konsep Anda dengan kredit gratis senilai $300
-
Mendapatkan akses ke Gemini 2.0 Flash Thinking
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Penggunaan bulanan gratis untuk produk populer, termasuk AI API dan BigQuery
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Tidak ada biaya otomatis, tanpa komitmen
Terus jelajahi dengan lebih dari 20 produk yang selalu gratis
Akses 20+ produk gratis untuk kasus penggunaan umum, termasuk API AI, VM, data warehouse, dan lainnya.
Mengelola lingkungan Anda
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-09-04 UTC.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-04 UTC."],[],[],null,["# Vertex AI Workbench instances documentation\n\nVertex AI Workbench instances\ndocumentation\n===========================================\n\n[Read product documentation](/vertex-ai/docs/workbench/instances/introduction)\nVertex AI Workbench instances are Jupyter notebook-based development environments\nfor the entire data science workflow. Vertex AI Workbench instances are prepackaged with\n[JupyterLab](https://jupyterlab.readthedocs.io/en/stable/getting_started/overview.html)\nand have a preinstalled suite of deep learning packages, including support for the\nTensorFlow and PyTorch frameworks.\n[Learn more](/vertex-ai/docs/workbench/instances/introduction).\n[Get started for free](https://console.cloud.google.com/freetrial) \n\n#### Start your proof of concept with $300 in free credit\n\n- Get access to Gemini 2.0 Flash Thinking\n- Free monthly usage of popular products, including AI APIs and BigQuery\n- No automatic charges, no commitment \n[View free product offers](/free/docs/free-cloud-features#free-tier) \n\n#### Keep exploring with 20+ always-free products\n\n\nAccess 20+ free products for common use cases, including AI APIs, VMs, data warehouses,\nand more.\n\nDocumentation resources\n-----------------------\n\nFind quickstarts and guides, review key references, and get help with common issues. \nformat_list_numbered\n\n### Guides\n\n-\n\n [Create a Vertex AI Workbench instance](/vertex-ai/docs/workbench/instances/create)\n\n-\n\n [Introduction to Vertex AI Workbench instances](/vertex-ai/docs/workbench/instances/introduction)\n\n-\n\n [Query data in BigQuery from within JupyterLab](/vertex-ai/docs/workbench/instances/bigquery)\n\ninfo\n\n### Manage your environment\n\n-\n\n [Add a conda environment](/vertex-ai/docs/workbench/instances/add-environment)\n\n-\n\n [Manage your conda environment](/vertex-ai/docs/workbench/instances/manage-environment)\n\n-\n\n [Change machine type and configure GPUs of a Vertex AI Workbench instance](/vertex-ai/docs/workbench/instances/change-machine-type)\n\ninfo\n\n### Resources\n\n-\n\n [Pricing](/vertex-ai/pricing#notebooks)\n\n-\n\n [Release notes](/vertex-ai/docs/release-notes)\n\n-\n\n [Get support](/vertex-ai/docs/support/getting-support)\n\nRelated videos\n--------------"]]
