Accessing WeatherNext on Gemini Enterprise Agent Platform

This page guides you through getting access to the WeatherNext model and setting up your Google Cloud project. You can access the Model Card on Gemini Enterprise Agent Platform Model Garden in the Google Cloud Console.

Only WeatherNext 2 is available on Gemini Enterprise Agent Platform.

Build custom forecasts with WeatherNext 2

WeatherNext 2 on Gemini Enterprise Agent Platform gives you access to Google's state-of-the-art weather model. Instead of consuming pre-computed, static forecast datasets, you can now build applications that generate custom forecasts on-demand, tuned to your specific technical requirements.

This approach provides a powerful set of capabilities:

  • Managed API: Forecasts are generated using persistent resources or using Dynamic Workload Scheduler on Gemini Enterprise Agent Platform. You can use a Colab Enterprise notebook to manage and test the model and manage inference runs.
  • Granular Forecast Configuration: Control the model's output using parameters to tailor each forecast to your use case:
    • Probabilistic Forecasting: Specify the number of ensemble members to quantify forecast uncertainty and build risk-aware applications.
    • Custom Time Horizons: Set the forecast lead time in hours for short-term operational needs or long-range strategic planning.
    • Custom Initial Conditions: Provide your own initial condition data to test different weather scenarios, use proprietary observations, or integrate alternative data sources such as GFS.
  • Cloud-Native Integration: The model is designed for seamless integration with the Google Cloud ecosystem. Use the Zarr output in Google Cloud Storage to trigger event-driven workflows with Cloud Functions, run large-scale data transformations with Dataflow, or load results directly into BigQuery for analysis.

See the working with the model page for detailed instructions on configuring and running forecasts.

Request access

To use WeatherNext 2 for generating forecasts, your Google Cloud project must be added to an allowlist. To request access, contact your Google Cloud account team or reach out to us.

Once your request is reviewed and approved, you will receive an email notifying that your project has been added to the allowlist. Then you can begin using the model.

View WeatherNext 2 on Gemini Enterprise Agent Platform

Prerequisites

Once your project has been added to the allowlist, you will need the following:

  1. A Google Cloud Project with billing enabled.
  2. The Gemini Enterprise Agent Platform API enabled in your project.
  3. IAM Permissions: Ensure your user account has the Vertex AI User role or equivalent permissions.
  4. GPU Quota: Request quota for custom model training accelerators (NVIDIA H100 80GB or NVIDIA A100 80GB GPUs) in your chosen region. By default, GPU quota is set to 0. See the quota increase request section for detailed instructions on which resource names to request based on your scheduling strategy.

Things to be aware of

Your use of WeatherNext 2 on Gemini Enterprise Agent Platform is subject to the Google Cloud terms of use, which you should familiarise yourself with. In particular, you (and your end users) must not:

  • Use WeatherNext 2 or the forecasts it generates to develop a similar or competing product or service;
  • Use generated forecasts to: (a) substitute, replace, or circumvent the use of WeatherNext 2, directly or indirectly, or (ii) create or improve models similar to WeatherNext 2 unless as part of any authorised fine-tuning; and
  • Reverse engineer or extract any components of WeatherNext 2.