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Mooncake Python API Skill

Official

Manage Mooncake distributed storage and transfer.

Software Engineering#pytorch#data transfer#llm serving#kv cache#mooncake#distributed storage#rdma
Authorkvcache-ai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill simplifies the management of distributed KV cache storage and high-performance data transfers using Mooncake's Python APIs, streamlining complex distributed system operations.

Core Features & Use Cases

  • Distributed KV Cache: Utilize Mooncake Store for efficient, distributed storage of key-value pairs, ideal for LLM KV caches.
  • High-Performance Data Transfer: Leverage Transfer Engine for RDMA/TCP data transfers between nodes.
  • Fault-Tolerant Collectives: Employ Mooncake's backend for robust distributed operations with fault tolerance.
  • Expert Parallelism: Implement EP with Mooncake's specialized buffer management.
  • Use Case: A user needs to store and retrieve large tensors for a distributed machine learning model, ensuring high throughput and low latency. This Skill can guide them on setting up Mooncake Store with appropriate replication and zero-copy operations.

Quick Start

Use the Mooncake Python API skill to set up a MooncakeDistributedStore for distributed KV cache storage.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Mooncake Python API Skill
Download link: https://github.com/kvcache-ai/Mooncake/archive/main.zip#mooncake-python-api-skill

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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