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Remotely fetch the SIGS.md from the llm-d project so we can render this on the public site. (#65)
* Fix broken link
Signed-off-by: Pete Cheslock <[email protected]>
* Fix typo
Signed-off-by: Pete Cheslock <[email protected]>
* Add SIGs remote content integration
- Updated .gitignore to include new sigs.md file.
- Modified remote-content.js to import and register the new SIGs source.
- Created remote-sources/sigs.js to handle the retrieval and transformation of SIGS.md content.
- Enhanced content transformation in contribute.js to fix links to SIGS.md.
Signed-off-by: Pete Cheslock <[email protected]>
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Signed-off-by: Pete Cheslock <[email protected]>
Copy file name to clipboardExpand all lines: README.md
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@@ -4,7 +4,7 @@ This website is built using [Docusaurus](https://docusaurus.io/), a modern stati
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The site may be previewed at [llm-d.github.io](https://llm-d.github.io/) before it goes live
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If you spot any errors or ommisions in the site, please open an issue at [github.com/llm-d/llm-d.github.io](https://github.com/llm-d/llm-d.github.io/issues)
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If you spot any errors or omissions in the site, please open an issue at [github.com/llm-d/llm-d.github.io](https://github.com/llm-d/llm-d.github.io/issues)
Copy file name to clipboardExpand all lines: docs/guide/guide.md
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# llm-d User Guide
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The user guide is organized in sections to help you get started with llm-d and then tailor the configuration to your resources and application needs. It is currently focused on the Quick Start via the llmd-deployer Helm chart.
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The user guide is organized in sections to help you get started with llm-d and then tailor the configuration to your resources and application needs. It is currently focused on the Quick Start via the llm-d-deployer Helm chart.
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**What is llm-d?**
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llm-d is an open source project providing distributed inferencing for GenAI runtimes on any Kubernetes cluster. Its highly performant, scalable architecture helps reduce costs through a spectrum of hardware efficiency improvements. The project prioritizes ease of deployment+use as well as SRE needs + day 2 operations associated with running large GPU clusters.
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[For more information check out the Architecture Documentation](./architecture/architecture)
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[For more information check out the Architecture Documentation](/docs/architecture/00_architecture.mdx)
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## Installation: Start here to minimize your frustration
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