Skip to main content

Package of Pathways-on-Cloud utilities.

Project description

Package of Pathways-on-Cloud utilities

Pathways is a novel compute orchestration method that enables single controller runtime ML workloads. This approach unlocks a range of new capabilities for training resiliency, multihost inference and interactive development on cluster of arbitrary scale. Pathways simplifies large-scale machine learning computations by enabling a single JAX client to orchestrate workloads across multiple large TPU slices, potentially spanning hundreds or thousands of TPU chips. Pathways is used internally at Google to train large models like Gemini. Pathways on Cloud brings the same benefits to Google Cloud customers.

To make it as easy as possible for you to leverage Pathways on Cloud, we've bundled the necessary cloud-specific integrations into a single Python package and a set of container images. This package handles the underlying adaptations required for the cloud environment, allowing you to focus on your core workflows with minimal setup.

Further Reading

Pathways Research Paper

[More resources coming Soon]

How to get access to Pathways on Cloud

Pathways on Cloud is currently in Preview. Please contact your Google Cloud account representative to request access to Pathways.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pathwaysutils-0.1.7.tar.gz (51.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pathwaysutils-0.1.7-py3-none-any.whl (77.7 kB view details)

Uploaded Python 3

File details

Details for the file pathwaysutils-0.1.7.tar.gz.

File metadata

  • Download URL: pathwaysutils-0.1.7.tar.gz
  • Upload date:
  • Size: 51.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pathwaysutils-0.1.7.tar.gz
Algorithm Hash digest
SHA256 b4de08a2ba30347a9b3f8cabfe8fb930e72878777da4a441f3de3379d17418b3
MD5 f4aee77809314c10b98ca03b5c2992a8
BLAKE2b-256 da06cc3b4551c1f0f0ddff5234e7fa89d073bcc12c3633d9f022412c835fbca4

See more details on using hashes here.

Provenance

The following attestation bundles were made for pathwaysutils-0.1.7.tar.gz:

Publisher: build_wheel.yml on AI-Hypercomputer/pathways-utils

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pathwaysutils-0.1.7-py3-none-any.whl.

File metadata

  • Download URL: pathwaysutils-0.1.7-py3-none-any.whl
  • Upload date:
  • Size: 77.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pathwaysutils-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 5db03ce9d880607adb93a59c78d15ee414becbec9e2d1b53b177505dd1541b29
MD5 56e2cc75650ddb829a6d468622509786
BLAKE2b-256 f3beab497b12492f483a1d3804d2e921fdfefc28cab344e08cdebac4476404e6

See more details on using hashes here.

Provenance

The following attestation bundles were made for pathwaysutils-0.1.7-py3-none-any.whl:

Publisher: build_wheel.yml on AI-Hypercomputer/pathways-utils

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page