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cortex-layer-stack: a Helm chart for scale-to-zero AI service stacks with telemetry-driven model distillation. Part of the archived Cortex project.

Note

Archived. This repo is part of Cortex, which is no longer under active development. It is kept as a working record: explore, fork and borrow freely, but no fixes or features are planned.

Cortex  ·  cortex · cortex-platform · cortex-gitops · cortex-k3s · cortex-docs · cortex-construction-hq · infrastructure-docs

The Idea

Deploy a generalist AI stack. Operate it on real tasks. Collect telemetry. Distill the operational knowledge into a specialized model. Graduate from orchestration to a single expert.

Infrastructure as training data.

Architecture

Architecture Lifecycle

Components

Component Role
MoE Router Routes queries to the right model/tool
Qdrant Vector storage for domain knowledge
MCP Server Tool execution
Telemetry Collector Captures routing decisions, queries, tool calls
Distillation Pipeline Trains LoRA adapters from collected data

Features

  • Scale-to-zero — all components idle to zero via KEDA
  • Burst-capable — scales up on demand
  • Telemetry-driven distillation — CronJob pipeline: collect → filter → fine-tune → publish
  • Output formats — LoRA, full fine-tune, or GGUF

Pre-configured Layers

infrastructure-layer · security-layer · networking-layer


Part of the Cortex archive · built with Claude

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Archived — Helm chart for scale-to-zero AI service stacks with telemetry-driven model distillation.

Topics

aiarchivedhelmkedakubernetesmixture-of-expertsmodel-distillationqdrant

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