10 docs tagged with "cost-optimization"

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

GPU resource management and cost optimization using Karpenter, KEDA, and DRA on EKS

LLM platform FinOps methodology — token metering, showback/chargeback strategies, agentic cost models, budget policies, and gateway integration

Token optimization patterns for MCP-based agents. Quantifies upfront loading overhead and reduces token costs by 70-98% through four techniques — Progressive Discovery, tool compression proxy, Code Execution, and prompt cache alignment.

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

Operational best practices for EKS Hybrid Nodes — mixed mode workload placement, configuration validation with Cluster Insights and nodeadm debug, monitoring architecture, and cost optimization based on tiered vCPU-hour billing.

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)