Draft a revised README.md #374
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smarterclayton
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/lgtm |
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This is a great update, thanks @smarterclayton! /lgtm |
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README.md
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| This extension is intented to provide value to multiplexed LLM services on a shared pool of compute. See the [proposal](https://github.com/kubernetes-sigs/wg-serving/tree/main/proposals/012-llm-instance-gateway) for more info. | ||
| The inference gateway: | ||
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| * Improves the tail latency and throughput of LLM completion requests against Kubernetes-hosted model servers using an extensible request scheduling alogrithm that is both kv-cache and request weight and priority aware, avoiding evictions or queueing as load increases |
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what do we mean by request weight here?
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Do we consider token size?
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no, we don't; we consider the current kv-cache utilization and queue length at the model servers
Clarify the point of the project, and use the vernacular of "inference gateway" vs "ai gateway" to more succinctly explain what the distinction is. Move the website up more prominently, and describe in more detail what the immediate requirements are. Create a stub roadmap section. Add a medium complexity architecture SVG to the readme
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All changes are made, I think this is ok to merge barring any final review. |
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Clarify the point of the project, and use the vernacular of "inference gateway" vs "ai gateway" to more succinctly explain what the distinction is. Move the website up more prominently, and describe in more detail what the immediate requirements are. Create a stub roadmap section.
I intended this to start a discussion, but I'd like to see the readme more immediately answer what the purpose of the project is. I agree the discussion around inference gateway has past history, but I also don't think "gateway-api-inference-extension" is landing when I talk about this with potential users and I want to try some variations.
@ahg-g @danehans @kfswain @robscott