google-cloud-tpu
Google Cloud Tpu API client library
Decision gist · record as of 2026-08-14
Yes, if you need to manage Google Cloud TPU resources programmatically. The package is production-stable, actively maintained, has no known vulnerabilities, and depends only on standard Google Cloud libraries. Install it only if you're already committed to using Google Cloud TPU; it's not useful outside that ecosystem.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10.
- You must also set up Google Cloud authentication (via service account key, Application Default Credentials, or similar) before the client can communicate with the Cloud TPU API.
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and private projects with minimal restrictions—you need only include a copy of the license and note any modifications.
last release 2026-06-22 (53 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 224,847 downloads/mo, #9,229 on PyPI
Alternatives
Verify before relying
pip install google-cloud-tpu
from google.cloud import tpu_v2
client = tpu_v2.TpuClient()
project = 'your-project-id'
zone = 'us-central1-a'
result = client.list_nodes(request={'parent': f'projects/{project}/locations/{zone}'})- Whether the package supports all TPU operations (creation, deletion, monitoring) or only read/list operations
- Performance characteristics when managing large numbers of TPU resources
- Whether async/await patterns are supported for non-blocking API calls
What it is and what it does
This is the official Python client library for Google Cloud TPU, a managed service that provides access to Tensor Processing Units in Google Cloud. It wraps the Cloud TPU API, allowing you to programmatically provision, query, and manage TPU resources from Python code. The library handles authentication, serialization, and RPC communication through dependencies like google-api-core, google-auth, and grpcio.
You would use this library when you need to automate TPU resource management—for example, provisioning TPU nodes for training jobs, listing available TPUs in your project, or monitoring TPU status. It's part of the broader google-cloud-python ecosystem and follows Google's standard patterns for cloud client libraries, including support for logging configuration via environment variables or Python's logging module.
Use it for
- Automate provisioning and teardown of TPU nodes as part of a training pipeline orchestration system
- Query available TPU resources and their status to inform job scheduling decisions
- Monitor TPU utilization and health metrics programmatically for alerting or cost tracking
- Build a management dashboard that lists and manages TPU resources across multiple projects or zones
- Integrate TPU lifecycle management into CI/CD workflows for distributed model training
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to manage Google Cloud TPU resources programmatically.
The package is production-stable, actively maintained, has no known vulnerabilities, and depends only on standard Google Cloud libraries. Install it only if you're already committed to using Google Cloud TPU; it's not useful outside that ecosystem.
Install
google-cloud-tpu on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. The package is actively maintained with a recent release (53 days old) and depends on standard Google Cloud client libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf), all of which are widely used and stable.
Requires Python >= 3.10. You must also set up Google Cloud authentication (via service account key, Application Default Credentials, or similar) before the client can communicate with the Cloud TPU API.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and private projects with minimal restrictions—you need only include a copy of the license and note any modifications.
Quickstart
pip install google-cloud-tpu
from google.cloud import tpu_v2
client = tpu_v2.TpuClient()
project = 'your-project-id'
zone = 'us-central1-a'
result = client.list_nodes(request={'parent': f'projects/{project}/locations/{zone}'})Verify before relying
- Whether the package supports all TPU operations (creation, deletion, monitoring) or only read/list operations
- Performance characteristics when managing large numbers of TPU resources
- Whether async/await patterns are supported for non-blocking API calls
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesgoogle-api-coregoogle-authgrpcioproto-plusprotobuf |
| Maintenance | Actively maintained 53 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 224,847 / month, #9,229 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Internet |
Evidence: google_cloud_tpu-1.27.0-py3-none-any.whl
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See also cloud-tpu-diagnostics · google-cloud-billing · google-cloud-monitoring · google-cloud-functions · google-cloud-resource-manager · google-cloud-build · google-cloud-video-transcoder · google-cloud-api-keys · google-cloud-securitycenter · google-cloud-asset