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[DOC] Update fig #987

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Merged
merged 3 commits into from
Nov 3, 2025
Merged

[DOC] Update fig #987

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05e4f12
[DOC] update image
stmatengss Oct 30, 2025
5ce26ab
[DOC] update image
stmatengss Oct 30, 2025
e9b87f8
update fig
stmatengss Nov 3, 2025
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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -59,7 +59,8 @@ The core of Mooncake is its KVCache-centric scheduler, which balances maximizing

<h2 id="components">🧩 Components</h2>

![components](image/components.png)
<!-- ![components](image/components.png) -->
<img src=image/components.png width=74% />
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@gemini-code-assist gemini-code-assist bot Oct 30, 2025

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For better HTML syntax and accessibility, it's recommended to quote attribute values and include an alt attribute. The alt attribute provides alternative text for an image if the user for some reason cannot view it (because of slow connection, an error in the src attribute, or if the user uses a screen reader). The original markdown ![components](image/components.png) used components as the alt text.

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<img src=image/components.png width=74% />
<img src="image/components.png" alt="components" width="74%" />


**Mooncake Core Component: Transfer Engine (TE)**
The core of Mooncake is the Transfer Engine (TE), which provides a unified interface for batched data transfer across various storage devices and network links. Supporting multiple protocols including TCP, RDMA, CXL/shared-memory, and NVMe over Fabric (NVMe-of), TE is designed to enable fast and reliable data transfer for AI workloads. Compared to Gloo (used by Distributed PyTorch) and traditional TCP, TE achieves significantly lower I/O latency, making it a superior solution for efficient data transmission.
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