Kubernetes Cost Optimization and GPU Rightsizing (2026)
A deep dive into Kubernetes cost optimization in 2026: bin-packing, fractional GPUs, Karpenter, requests/limits tuning, and FinOps guardrails.
Kubernetes Cost Optimization and GPU Rightsizing (2026)
A deep dive into Kubernetes cost optimization in 2026: bin-packing, fractional GPUs, Karpenter, requests/limits tuning, and FinOps guardrails.
Fine-Tuning vs RAG vs Long-Context: A 2026 Cost/Quality Decision
A 2026 cost and quality decision record for fine-tuning vs RAG vs long-context LLMs: token economics, latency, accuracy trade-offs, and a decision matrix.
LLM Prompt Caching: Architecture and Economics (2026)
How LLM prompt caching works in 2026: provider-side vs self-hosted KV reuse, cache-aware prompt design, hit-rate economics, and where it quietly breaks.
Semantic Caching for LLM Applications: Architecture (2026)
A 2026 architecture guide to semantic caching for LLM apps: embedding similarity lookup, cache invalidation, hit-rate tuning, and where it quietly breaks.
vLLM Cost Economics: 2026 Deep Dive on $/Million Tokens
A practical 2026 deep dive on vLLM cost economics — KV cache, paged attention, speculative decoding, and dollar-per-million-tokens math.