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Ray 2.55 adds Google Cloud TPU support for distributed Python workloads

By PulseAugur Editorial · [1 sources] ·

Ray has released version 2.55, which now includes official support for Google Cloud TPUs. This update allows developers to execute distributed Python workloads on TPUs through Ray's existing APIs. The integration is further streamlined by KubeRay, which automates the provisioning of multi-host slices. AI

IMPACT Enables more efficient distributed AI training on specialized hardware.

RANK_REASON This is a software update for an existing tool, not a frontier release or significant industry event.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ray 2.55 adds Google Cloud TPU support for distributed Python workloads

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This is a software update for an existing tool, not a frontier release or significant industry event.
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · automationwire ·

    Ray 2.55 adds official Google Cloud TPU support, letting developers run distributed Python workloads on TPUs using Ray's APIs. KubeRay handles multi-host slice

    Ray 2.55 adds official Google Cloud TPU support, letting developers run distributed Python workloads on TPUs using Ray's APIs. KubeRay handles multi-host slice provisioning automatically. # AI # Automation Source: Google Developers AI https:// developers.googleblog.com/run- ray-o…

    LINKS developers.googleblog.com/run-ray-on-tpu-…

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