Advanced Features
LLM Classifier, CloudFront/WAF, Semantic Caching configuration
LLM Classifier, CloudFront/WAF, Semantic Caching configuration
An architecture that automates open-weight model onboarding through a seven-stage pipeline, from HuggingFace leaderboard scanning and benchmark reproduction to instance performance profiling, deployment guide generation for multiple targets, and global Spot capacity acquisition, with human involvement at approval gates
kgateway installation, HTTPRoute configuration, Bifrost Gateway Mode setup
CNI selection criteria and core Cilium configuration for EKS Hybrid Nodes — hybrid-node-only affinity, cluster-pool IPAM, choosing a Pod CIDR routing method (BGP, static, Gateway), and the Cilium BGP Control Plane configuration procedure.
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
A comprehensive guide to implementing shared file storage in EKS Hybrid Nodes environments, covering AWS managed services, enterprise storage integration, and Amazon Linux 2023 alternative approaches.
Checkpoint evaluation, approval-gated canary promotion, Registry versioning, verified routing recovery and cost/quality KPI contracts.
Covers a 5-zone pre-registration rule table to submit to firewall and network teams when adopting EKS Hybrid Nodes, handling environments without FQDN wildcard support, Transit Gateway topology, and on-premises LB path design.
Designs a highly available GenAI inference layer for EKS Hybrid Nodes GPU nodes with resource isolation (taints), a hybrid-only NVIDIA Device Plugin deployment, and a Karpenter-based cloud GPU fallback NodePool.
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.
Configuration guidance separating DNS, TLS trust, containerd setup, project credentials and recovery verification for Harbor and EKS Hybrid Nodes
A hands-on guide to using on-premises GPU nodes as the primary inference tier on EKS Hybrid Nodes, and resolving DGX H200 SR-IOV VF name inconsistency through driver compatibility, persistent naming, and systemd orchestration
Covers the full lifecycle of the Amazon EKS Hybrid Nodes Gateway, from its operating mechanism through Cilium VTEP reconfiguration, Helm installation, instance sizing, failover, monitoring, and removal.
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)
Designing external exposure for EKS Hybrid Nodes workloads — the traffic-origin-based NLB vs Cilium built-in LB decision principle, AWS Load Balancer Controller configuration requirements, Cilium LB IPAM and BGP advertisement, and community options such as MetalLB.
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 LiteLLM Auto Router + Cilium Hubble + Langfuse
Configure private API access, ECR and S3 interface endpoints, on-premises DNS, and return routing for EKS Hybrid Nodes.
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
Export approved, redacted Langfuse generations as Parquet candidates and score them using explicit evaluator contracts. Conversion to GRPO/DPO inputs is a separate stage.
Common issues and solutions during Inference Gateway deployment and operations