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Structured Outputs and Constrained Decoding
Constrained decoding rules out tokens that break a grammar. Follow a two-choice example through masking, completion and rollback, then separate valid structure from correct, authorized tool arguments.
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Open-Weights Models & Serving EnginesEvery response must be valid JSON against a schema. How do you serve that at scale?→Open-Weights Models & Serving EnginesYour agent product's tool-call success rate fell from 94 to 61 percent after a deploy. Debug it.→Kubernetes, Slurm & GPU SchedulingOne fleet: training that wants every idle GPU, and inference with a p99 SLO. Separate pools, or one pool with preemption? Show the numbers.→Networking, Interconnects & StorageDoes multi-node inference need the same fabric as training, or can it run on ordinary networking?→Kubernetes, Slurm & GPU SchedulingWe want to run LLM inference on Kubernetes. What does the deployment actually need beyond a Deployment with a GPU limit?→LLM Inference & ServingWhy do prefill and decode behave so differently, and why does that matter for the hardware you serve on?→
