Cache-Hit Strategy
Unifying the three layers of inference caching (KV/Prefix, Prompt, Semantic) into a single decision framework with hit-rate targets, measurement points, and tuning levers for each layer.
Unifying the three layers of inference caching (KV/Prefix, Prompt, Semantic) into a single decision framework with hit-rate targets, measurement points, and tuning levers for each layer.
Technical status and EKS application scenarios for GPU workload checkpoint/restore during Spot reclaim and scheduling events (Experimental)
Deep optimization strategies for minimizing inter-service communication latency and reducing cross-AZ costs in EKS. Covers Topology Aware Routing, InternalTrafficPolicy, Cilium ClusterMesh, AWS VPC Lattice, and Istio multi-cluster
A complete guide for adopting Amazon EKS Hybrid Nodes: architecture, configuration, networking, DNS, GPU servers, cost analysis, and Dynamic Resource Allocation (DRA)
GPU resource management and cost optimization using Karpenter, KEDA, and DRA on EKS
A customer-facing decision guide for evaluating and choosing self-hosted open-weight LLM deployment from the perspectives of token economics and data sovereignty.
Complexity-based automatic model routing — comparison of LLM Classifier, LiteLLM, and vLLM Semantic Router approaches, RouteLLM research reference, and cost savings
LLM Gateway-level semantic caching strategy and implementation options comparison (GPTCache, Redis Semantic Cache, Portkey, Helicone, Bifrost+Redis)