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Merge pull request #2758 from madeline-underwood/pilot-meta-descriptions
Pilot meta descriptions
2 parents 7eed6c7 + dc5e404 commit 8daaa50

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content/learning-paths/servers-and-cloud-computing/arm-mcp-server/_index.md

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title: Automate x86-to-Arm application migration using Arm MCP Server
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description: Learn how to automate x86-to-Arm application migration using the Arm MCP Server, with AI-assisted compatibility checks, C++ code refactoring, and Docker-based validation on Arm cloud platforms.
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minutes_to_complete: 20
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content/learning-paths/servers-and-cloud-computing/distributed-inference-with-llama-cpp/_index.md

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title: Run distributed inference with llama.cpp on Arm-based AWS Graviton4 instances
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description: Run distributed LLM inference with llama.cpp across multiple AWS Graviton4 instances, covering multi-node setup, coordination, and performance trade-offs.
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minutes_to_complete: 30
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content/learning-paths/servers-and-cloud-computing/geekbench/_index.md

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title: Get started with Geekbench on Arm
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description: Run Geekbench on Arm systems to benchmark CPU performance, interpret the results, and compare different Arm configurations.
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minutes_to_complete: 15
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content/learning-paths/servers-and-cloud-computing/glibc-with-lse/_index.md

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title: Learn about glibc with Large System Extensions (LSE) for performance improvement
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description: Rebuild and benchmark glibc with LSE atomics on Arm servers, then evaluate scalability using MongoDB workloads and guidance on when LSE delivers a measurable uplift.
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minutes_to_complete: 60
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content/learning-paths/servers-and-cloud-computing/llama-cpu/_index.md

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title: Deploy a Large Language Model (LLM) chatbot with llama.cpp using KleidiAI on Arm servers
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description: Serve the llama.cpp chatbot through an OpenAI-compatible API, enabling existing OpenAI-style clients and applications to run against a persistent Arm-hosted LLM.
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minutes_to_complete: 30
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