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Merge pull request #2595 from ArmDeveloperEcosystem/main
Production update
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content/learning-paths/servers-and-cloud-computing/vllm-acceleration/1-overview-and-build.md

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title: Build and validate vLLM for inference on Azure Cobalt 100
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title: Build and validate vLLM for inference
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weight: 2
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### FIXED, DO NOT MODIFY
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- Python 3.12 on Ubuntu 22.04 LTS or newer
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- At least 32 vCPUs, 64 GB RAM, and 64 GB of free disk space
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This Learning Path was tested on an AWS Graviton4 c8g.12xlarge instance with 64 GB of attached storage.
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This Learning Path was tested on an AWS Graviton4 `c8g.12xlarge` instance with 64 GB of attached storage.
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## Install build dependencies
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content/learning-paths/servers-and-cloud-computing/vllm-acceleration/_index.md

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title: Accelerate vLLM inference on Azure Cobalt 100 virtual machines
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title: Accelerate vLLM inference on AWS Graviton processors
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minutes_to_complete: 60
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### Tags
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skilllevels: Introductory
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subjects: ML
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cloud_service_providers: AWS
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armips:
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- Neoverse
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operatingsystems:

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