Running Open-Weight LLMs on AKS with KAITO: A Summary of Model Families
Read OriginalThis technical article explores using the KAITO (Kubernetes AI Toolchain Operator) to deploy various open-weight large language model families on Azure Kubernetes Service (AKS). It summarizes the key characteristics, strengths, and ideal use cases for models like DeepSeek, Falcon, Llama, Mistral, Phi, and Qwen, explaining their suitability for tasks from reasoning and instruction to coding and fine-tuning. It also discusses the benefits of open-weight models, including privacy, cost control, and customization.
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