#Mlops

Netflix's LLM Ranker Just Beat Its Production System

GenRec matched a mature feature-engineered ranker with up to 40x less labeled data — that's the real story.

Article · 2w ago0

The Real Cost of 'Just Use vLLM,' According to Netflix

Netflix's Model Runtime team details the version pinning, GIL workarounds, and preemption bugs behind production LLM inference.

Article · 1mo ago2

MLOps Still Can't Solve Its Hardest Problems

Tooling keeps improving, yet emission control, safe filtering and org friction remain open failures at production scale.

Article · 1mo ago6

The Real Cost of the Open-Weight Price Collapse

Why the 50x price gap between open-weight APIs and frontier models is rewriting the build-versus-buy playbook for developers.

Article · 2mos ago2

Serve an Open-Source LLM at Scale with vLLM on a Rented GPU Instance

Go from a bare cloud VM to a production-ready, OpenAI-compatible inference server in under an hour, using vLLM's continuous batching to hit thousands of output tokens per second on a single GPU.

Tutorial · 2mos ago0

Build an LLM-as-Judge Eval Pipeline in Python

Ship a repeatable scoring harness that sends model outputs to a GPT-4o judge and tracks accuracy, relevance, and safety scores across releases—so you catch regressions before users do.

Tutorial · 2mos ago0