21 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

A customer-facing decision guide for evaluating and choosing self-hosted open-weight LLM deployment from the perspectives of token economics and data sovereignty.

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

Complexity-based automatic model routing — comparison of LLM Classifier, LiteLLM, and vLLM Semantic Router approaches, RouteLLM research reference, and cost savings

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

Single definition of the Agentic AI Platform gateway layers: Tier 1 Ingress, Tier 2 Inference Routing (Inference Extension) and LLM API Gateway, and the Agent Data Plane — their role separation and how to fill each layer

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

HuggingFace 리더보드 스캔부터 벤치마크 재현, 인스턴스별 성능 프로파일링, 멀티 타깃 배포 가이드 생성, 글로벌 스팟 캐파 확보까지 — 오픈 웨이트 모델 온보딩을 7단계 파이프라인으로 자동화하고 사람은 승인 게이트에만 개입하는 아키텍처를 제시합니다