17 docs tagged with "scope:impl"

LLM Classifier, CloudFront/WAF, Semantic Caching configuration

kgateway installation, HTTPRoute configuration, Bifrost Gateway Mode setup

Aider, Cline, Continue.dev integration + Bedrock vs Kiro vs self-hosting cost comparison

EKS-based 5-stage pipeline that automatically promotes Langfuse traces to training data and connects GRPO/DPO preference tuning with Canary deployment.

Hands-on guide to deploying large open-source models on EKS, based on the GLM-5.1 experience

Building a domain-optimized model serving pipeline with LoRA Fine-tuning, Multi-LoRA Hot-swap, and SLM Cascade Routing

Threshold verification of trained checkpoints, kgateway-based gradual Canary deployment, MLflow Registry version management, automatic rollback on regression, cost and quality KPI dashboard configuration.

Production configuration for running NeMo-RL (GRPO) and TRL (DPO) training jobs with labeled preference datasets on Karpenter Spot node pools and Volcano Gang Scheduling.

kgateway + Bifrost/LiteLLM 2-Tier architecture with Cascade Routing, Semantic Router, and Hybrid Routing design patterns

Step-by-step deployment guide for kgateway-based Inference Gateway (basic/advanced/troubleshooting)

End-to-end ML lifecycle management with Kubeflow + MLflow + vLLM + ArgoCD GitOps

Hands-on setup guide for integrated monitoring with Prometheus to AMP, AMG, Langfuse, and Bifrost OTel

Deploy OpenClaw AI Agent Gateway on EKS with cost optimization, and achieve full observability using Bifrost Auto-Router + Cilium Hubble + Langfuse

Production deployment and configuration reference architecture for the Agentic AI Platform

A hybrid ML architecture that trains on SageMaker and serves on EKS

Load Langfuse OTel traces into S3 Parquet/Iceberg and automatically construct GRPO/DPO training datasets by labeling rewards with Ragas + LLM Judge Fleet.

Common issues and solutions during Inference Gateway deployment and operations