v1: Introduce an offloading component

[orozery]

This PR adds a new offloading component, composed of:

1. A scheduler side OffloadingManager (abstract) which kicks-off KV data transfers and keeps track of offloaded data.
2. A worker side OffloadingQueueManager which asynchronously manages KV transfers.

[gemini-code-assist]

Summary of Changes

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This pull request introduces a new, dedicated offloading component for vLLM v1, establishing the core infrastructure for managing and transferring Key-Value (KV) data. It sets up abstract interfaces for the scheduler to oversee offloaded data and provides concrete mechanisms for workers to perform these transfers asynchronously, laying the groundwork for more flexible memory management.

Highlights

• New Offloading Component: Introduces a foundational offloading module designed to manage and facilitate asynchronous Key-Value (KV) data transfers between different storage mediums within vLLM v1.
• Scheduler-side OffloadingManager: Defines an abstract OffloadingManager class intended for the scheduler, responsible for tracking offloaded data, preparing load/store operations, and managing the lifecycle of KV blocks, including lookup, touch, and eviction protection.
• Worker-side OffloadingQueueManager: Implements the OffloadingQueueManager on the worker side to asynchronously manage KV data transfers. This manager utilizes dedicated OffloadingWorker threads to handle different types of transfers concurrently.
• Load/Store Specifications: Introduces LoadStoreSpec as an abstract base class for defining metadata necessary for KV data transfers. Concrete implementations like GPULoadStoreSpec and CPULoadStoreSpec are provided as examples for GPU and CPU memory locations.
• Test Coverage: Adds a new test suite (tests/v1/offloading/test_worker.py) to thoroughly validate the functionality of the OffloadingQueueManager and its asynchronous transfer capabilities, ensuring reliability of the new component.

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[gemini-code-assist]

Code Review

This PR introduces a new offloading component with an abstract OffloadingManager and a concrete OffloadingQueueManager. Key feedback includes updating a test docstring, improving error handling in OffloadingWorker, ensuring thread-safety for job ID generation, and considering robust resource management for OffloadingQueueManager.

[github-actions]

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