Tag: LLMOps

3 articles

• KV Cache Quantization in Production: Reducing Long-Context Inference Memory with FP8/INT8

  A systematic guide to KV cache quantization for long-context LLM inference: value, principles, vLLM/TensorRT-LLM implementation, evaluation metrics, and production risks to help teams safely reduce memory and latency costs.

  07/01/2026 LLM / Inference Optimization / KV Cache / Quantization / LLMOps / vLLM / TensorRT-LLM

• LLM-as-a-Judge in Production: How to Calibrate Automated Evaluation Without Treating the Model as an Oracle

  A systematic guide to deploying LLM-as-a-Judge for evaluating LLM applications in production, covering dataset construction, rubric design, bias calibration, metric monitoring, and human-in-the-loop review.

  07/01/2026 LLM / LLM Evaluation / LLM-as-a-Judge / Engineering Practice / LLMOps

• Speculative Decoding in Production: Reducing LLM Latency with Draft Models

  A systematic guide to Speculative Decoding for LLM inference: principles, engineering trade-offs, model selection, monitoring metrics, and common pitfalls. Learn when and how to deploy draft models for latency reduction.

  06/30/2026 LLM / Inference Optimization / Speculative Decoding / LLMOps / Performance Engineering