{"schema_version":"onlylabs.public_signal.v1","title":"NVIDIA Repo: NVIDIA/swe-serve","description":"NVIDIA repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/89d043ef-68b5-4c12-9124-25b73b865975","json_url":"https://onlylabs.fyi/signals/89d043ef-68b5-4c12-9124-25b73b865975/signal.json","generated_at":"2026-10-12T17:40:46.010Z","evidence_latest_fetched_at":"2026-10-10T07:03:39.382659+00:00","signal_first_seen_at":"2026-10-10T07:00:43.718124+00:00","org":{"slug":"nvidia","name":"NVIDIA","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/nvidia","dossier_json_url":"https://onlylabs.fyi/labs/nvidia/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/89d043ef-68b5-4c12-9124-25b73b865975","signal_json":"https://onlylabs.fyi/signals/89d043ef-68b5-4c12-9124-25b73b865975/signal.json","source":"https://github.com/NVIDIA/swe-serve","lab_dossier":"https://onlylabs.fyi/labs/nvidia","lab_dossier_json":"https://onlylabs.fyi/labs/nvidia/dossier.json","analysis":"https://onlylabs.fyi/analysis/nvidia","analysis_json":"https://onlylabs.fyi/analysis/nvidia/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/nvidia/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"evals","label":"Evals and quality","url":"https://onlylabs.fyi/data-radar/evals","json_url":"https://onlylabs.fyi/data-radar/evals/signals.json"},{"key":"infrastructure","label":"Infrastructure","url":"https://onlylabs.fyi/data-radar/infrastructure","json_url":"https://onlylabs.fyi/data-radar/infrastructure/signals.json"},{"key":"product","label":"Product and customer","url":"https://onlylabs.fyi/data-radar/product","json_url":"https://onlylabs.fyi/data-radar/product/signals.json"}]}},"answer_pack":{"answer":"NVIDIA published NVIDIA/swe-serve (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo NVIDIA/swe-serve · language Python. onlylabs links this event to 1 captured evidence page and 6 related repo signals. 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customer."},{"subject":"NVIDIA/swe-serve","predicate":"has captured page count","object":"1","text":"NVIDIA/swe-serve has captured page count 1."},{"subject":"NVIDIA/swe-serve","predicate":"has readable page count","object":"1","text":"NVIDIA/swe-serve has readable page count 1."},{"subject":"NVIDIA/swe-serve","predicate":"has related signal count","object":"6","text":"NVIDIA/swe-serve has related signal count 6."},{"subject":"NVIDIA/swe-serve","predicate":"has analysis playbook objective","object":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","text":"NVIDIA/swe-serve has analysis playbook objective Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.."},{"subject":"NVIDIA/swe-serve","predicate":"has source host","object":"github.com","text":"NVIDIA/swe-serve has 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Language: Python License: Apache-2.0 Stars: 18 Forks: 0 Open issues: 0 Created: 2026-09-18T21:05:06Z Pushed: 2026-10-09T18:33:36Z Default branch: main Fork: no Archived: no README: SWE-Serve [Leaderboard](https://research.nvidia.com/benchmarks/swe-serve) · [Paper](https://arxiv.org/abs/2609.26777) · [Blog](https://developer.nvidia.com/blog/how-swe-serve-exposes-the-gap-between-local-tests-and-live-serving/) SWE-Serve evaluates LLMs/agents on production inference engineering tasks. The benchmark includes 53 tasks derived from recent production changes to SGLang: 41 GPU (H100) tasks and 12 CPU tasks. Tasks test correctness, including integration into an inference system through end-to-end execution, persistent state, or concurrent requests. 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