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Anyscale integrates native sandboxing into Ray framework

Anyscale has introduced native sandboxing capabilities within its Ray framework, starting with version 2.58. This new feature, developed in partnership with Google and utilizing gVisor, allows for the creation and management of isolated execution environments directly within a Ray cluster. These sandboxes can be scheduled and scaled using existing Ray primitives, simplifying the process for agentic reinforcement learning workloads that require running numerous isolated environments executing model-generated code. The integration offers both a high-level API for straightforward isolated execution and lower-level primitives for building custom sandboxing services, with Ray handling orchestration and gVisor managing isolation. AI

IMPACT Simplifies the deployment and management of agentic workloads requiring isolated execution environments.

RANK_REASON This is a product update for an existing framework, not a new frontier model release or significant industry shift.

Read on Anyscale blog →

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

Anyscale integrates native sandboxing into Ray framework

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This is a product update for an existing framework, not a new frontier model release or significant industry shift.
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COVERAGE [1]

  1. Anyscale blog TIER_1 English(EN) ·

    Announcing Native Sandboxing in Ray

    Ray 2.58 introduces native gVisor sandboxing for agentic RL, with scalable isolation, Ray-native APIs, and primitives for custom sandbox services.