LLM Orchestration

GoogleCloudPlatform/Generative AI

Sample code and notebooks for Generative AI on Google Cloud

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Provides sample code and Jupyter notebooks to help developers understand and implement generative AI models using Google Cloud services, enabling faster prototyping and deployment.

Provides comprehensive sample code and notebooks for generative AI models specifically tailored to Google Cloud services, making it easier for developers to get started with minimal setup.

When it fits — and when it doesn’t

A good fit for

  • Developers who are familiar with Python and want to quickly prototype generative AI models on Google Cloud.

  • Educators looking for practical examples and tutorials on Generative AI.

Look elsewhere if

  • Teams requiring real-time streaming capabilities, as the focus is more on prototyping and experimentation.

  • Projects that need a fully managed service without any coding effort.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond Python

    Primary language is Python, with no official support for other languages like Java or C#

  2. 02

    Vendor lock-in with Google Cloud services

    Tightly integrated with Google Cloud services, making it difficult to switch providers without significant rework

What it does well

  • Sample code for various generative AI models

  • Integration with Google Cloud services

  • Jupyter notebooks for easy experimentation

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up GoogleCloudPlatform/Generative AI

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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