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ACStor for managing and optimizing storage resources in AKS.

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From 7B to 70B+: Serving giant LLMs efficiently with KAITO and ACStor v2

· 6 min read
Sachi Desai
Product Manager for AI/ML, GPU workloads on Azure Kubernetes Service
Francis Yu
Product Manager focusing on storage orchestration for Kubernetes workloads

XL-size large language models (LLMs) are quickly evolving from experimental tools to essential infrastructure. Their flexibility, ease of integration, and growing range of capabilities are positioning them as core components of modern software systems.

Massive LLMs power virtual assistants and recommendations across social media, UI/UX design tooling and self-learning platforms. But how do they differ from your average language model? And how do you get the best bang for your buck running them at scale?

Let’s unpack why large models matter and how Kubernetes, paired with NVMe local storage, accelerates intelligent app development.