{"schema_version":"onlylabs.public_signal.v1","title":"Together AI Repo: togethercomputer/aurora","description":"Together AI repo signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/f6ebcf40-10af-412c-a1a2-9f05742d7fb0","json_url":"https://onlylabs.fyi/signals/f6ebcf40-10af-412c-a1a2-9f05742d7fb0/signal.json","generated_at":"2026-06-11T02:51:58.434547+00:00","org":{"slug":"together-ai","name":"Together AI","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/together-ai","dossier_json_url":"https://onlylabs.fyi/labs/together-ai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/f6ebcf40-10af-412c-a1a2-9f05742d7fb0","signal_json":"https://onlylabs.fyi/signals/f6ebcf40-10af-412c-a1a2-9f05742d7fb0/signal.json","source":"https://github.com/togethercomputer/aurora","lab_dossier":"https://onlylabs.fyi/labs/together-ai","lab_dossier_json":"https://onlylabs.fyi/labs/together-ai/dossier.json","analysis":"https://onlylabs.fyi/analysis/together-ai","analysis_json":"https://onlylabs.fyi/analysis/together-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/together-ai/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Together AI published togethercomputer/aurora (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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for this category, interpret the repository as source-grounded category strategy evidence.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/f6ebcf40-10af-412c-a1a2-9f05742d7fb0/signal.json","required":true},{"label":"source","url":"https://github.com/togethercomputer/aurora","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/together-ai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/together-ai/evidence.json","required":true},{"label":"topic_signals_json","url":null,"required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Together AI's repo signal \"togethercomputer/aurora\" for neocloud strategy."},"semantic_triples":[{"subject":"Together AI","predicate":"published repo","object":"togethercomputer/aurora","text":"Together AI published repo togethercomputer/aurora."},{"subject":"togethercomputer/aurora","predicate":"is classified as","object":"repo signal","text":"togethercomputer/aurora is classified as repo signal."},{"subject":"togethercomputer/aurora","predicate":"belongs to","object":"repos desk","text":"togethercomputer/aurora belongs to repos desk."},{"subject":"togethercomputer/aurora","predicate":"has context","object":"Python","text":"togethercomputer/aurora has context Python."},{"subject":"togethercomputer/aurora","predicate":"has evidence coverage","object":"1 captured evidence page","text":"togethercomputer/aurora has evidence coverage 1 captured evidence page."},{"subject":"togethercomputer/aurora","predicate":"has captured page count","object":"1","text":"togethercomputer/aurora has captured page count 1."},{"subject":"togethercomputer/aurora","predicate":"has readable page count","object":"1","text":"togethercomputer/aurora has readable page count 1."},{"subject":"togethercomputer/aurora","predicate":"has related signal count","object":"6","text":"togethercomputer/aurora has related signal count 6."},{"subject":"togethercomputer/aurora","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":"togethercomputer/aurora 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":"togethercomputer/aurora","predicate":"has source host","object":"github.com","text":"togethercomputer/aurora has source host github.com."},{"subject":"togethercomputer/aurora","predicate":"has lab","object":"Together AI","text":"togethercomputer/aurora has lab Together AI."},{"subject":"togethercomputer/aurora","predicate":"has signal desk","object":"repos","text":"togethercomputer/aurora has signal desk repos."},{"subject":"togethercomputer/aurora","predicate":"has source host","object":"github.com","text":"togethercomputer/aurora has source host github.com."},{"subject":"togethercomputer/aurora","predicate":"has repository","object":"togethercomputer/aurora","text":"togethercomputer/aurora has repository togethercomputer/aurora."},{"subject":"togethercomputer/aurora","predicate":"has language","object":"Python","text":"togethercomputer/aurora has language Python."},{"subject":"togethercomputer/aurora","predicate":"has stars","object":"64","text":"togethercomputer/aurora has stars 64."},{"subject":"togethercomputer/aurora","predicate":"has notability","object":"New repo, low traction.","text":"togethercomputer/aurora has notability New repo, low traction.."},{"subject":"togethercomputer/aurora","predicate":"has watch term","object":"Model card","text":"togethercomputer/aurora has watch term Model card."}]},"intelligence":{"signal_desk":"repos","answer":"Together AI published togethercomputer/aurora (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo togethercomputer/aurora · language Python · New repo, low traction.. onlylabs links this event to 1 captured evidence page and 6 related repo signals.","semantic_triples":[{"subject":"Together AI","predicate":"published repo","object":"togethercomputer/aurora","text":"Together AI published repo togethercomputer/aurora."},{"subject":"togethercomputer/aurora","predicate":"is classified as","object":"repo signal","text":"togethercomputer/aurora is classified as repo signal."},{"subject":"togethercomputer/aurora","predicate":"belongs to","object":"repos desk","text":"togethercomputer/aurora belongs to repos desk."},{"subject":"togethercomputer/aurora","predicate":"has context","object":"Python","text":"togethercomputer/aurora has context Python."},{"subject":"togethercomputer/aurora","predicate":"has evidence coverage","object":"1 captured evidence page","text":"togethercomputer/aurora has evidence coverage 1 captured evidence page."}]},"signal":{"id":"f6ebcf40-10af-412c-a1a2-9f05742d7fb0","url":"https://onlylabs.fyi/signals/f6ebcf40-10af-412c-a1a2-9f05742d7fb0","json_url":"https://onlylabs.fyi/signals/f6ebcf40-10af-412c-a1a2-9f05742d7fb0/signal.json","source_url":"https://github.com/togethercomputer/aurora","title":"togethercomputer/aurora","summary":"Together AI published a new repository. onlylabs watches repos for tooling, eval, infra, and model-adjacent work.","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2026-03-23T01:13:29+00:00","first_seen_at":"2026-06-05T22:32:10.100906+00:00","date_source":"source","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://github.com/togethercomputer/aurora"]},"facets":{"repo":"togethercomputer/aurora","language":"Python"},"traction":{"github_stars":64,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://github.com/togethercomputer/aurora","final_url":"https://github.com/togethercomputer/aurora","title":"togethercomputer/aurora repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T02:51:58.434547+00:00","bytes":12456,"raw_path":"27a8e83cc7124907f5d15b93c8eafbed11550cb237d3d44fa29f030c5b930df9.json","content_hash":"23d6f148619985bde6af281cfd0b054eda61bcaedafacaf5518bf2fd42e9531c","excerpt_chars":1200,"truncated":true,"excerpt":"togethercomputer/aurora Language: Python License: MIT Stars: 64 Forks: 6 Open issues: 0 Created: 2026-03-23T01:13:29Z Pushed: 2026-04-30T20:19:53Z Default branch: main Fork: no Archived: no README: Aurora Aurora is a unified training-serving system for online speculative decoding. It closes the loop between speculator training and serving by continuously learning a draft model directly from live inference traces — treating online speculator learning as an asynchronous reinforcement-learning problem. Aurora is built on top of [TorchSpec](https://github.com/torchspec-project/TorchSpec). Aurora supports **day-0 deployment**: a speculator can be served immediately and rapidly adapted to live traffic, improving system performance while providing immediate utility feedback. Across experiments, Aurora achieves a **1.5x day-0 speedup** on recently released frontier models (e.g., MiniMax-M2.1 and Qwen3-Coder-Next), and adapts effectively to distribution shifts in user traffic, delivering an additional **1.25x speedup** over a well-trained but static speculator on widely used models (e.g., Qwen3). <p align=\"center\"> <img src=\"docs/diagram.png\" alt=\"Aurora Architecture\" width=\"100%\"> </p>..."},"evidence_pages":[{"url":"https://github.com/togethercomputer/aurora","final_url":"https://github.com/togethercomputer/aurora","title":"togethercomputer/aurora repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T02:51:58.434547+00:00","bytes":12456,"raw_path":"27a8e83cc7124907f5d15b93c8eafbed11550cb237d3d44fa29f030c5b930df9.json","content_hash":"23d6f148619985bde6af281cfd0b054eda61bcaedafacaf5518bf2fd42e9531c","excerpt_chars":1200,"truncated":true,"excerpt":"togethercomputer/aurora Language: Python License: MIT Stars: 64 Forks: 6 Open issues: 0 Created: 2026-03-23T01:13:29Z Pushed: 2026-04-30T20:19:53Z Default branch: main Fork: no Archived: no README: Aurora Aurora is a unified training-serving system for online speculative decoding. It closes the loop between speculator training and serving by continuously learning a draft model directly from live inference traces — treating online speculator learning as an asynchronous reinforcement-learning problem. Aurora is built on top of [TorchSpec](https://github.com/torchspec-project/TorchSpec). Aurora supports **day-0 deployment**: a speculator can be served immediately and rapidly adapted to live traffic, improving system performance while providing immediate utility feedback. Across experiments, Aurora achieves a **1.5x day-0 speedup** on recently released frontier models (e.g., MiniMax-M2.1 and Qwen3-Coder-Next), and adapts effectively to distribution shifts in user traffic, delivering an additional **1.25x speedup** over a well-trained but static speculator on widely used models (e.g., Qwen3). <p align=\"center\"> <img src=\"docs/diagram.png\" alt=\"Aurora Architecture\" width=\"100%\"> </p>..."}],"related_signals":[{"id":"0413a558-9c7b-4220-bf92-34bcbce16a0f","url":"https://onlylabs.fyi/signals/0413a558-9c7b-4220-bf92-34bcbce16a0f","source_url":"https://github.com/togethercomputer/archipelago","title":"togethercomputer/archipelago","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2026-05-29T00:15:21+00:00","first_seen_at":"2026-06-05T22:32:10.100906+00:00","date_source":"source"},{"id":"0854485e-65c6-489c-b097-9d8051e24014","url":"https://onlylabs.fyi/signals/0854485e-65c6-489c-b097-9d8051e24014","source_url":"https://github.com/togethercomputer/SearchScales","title":"togethercomputer/SearchScales","context":null,"kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2026-05-13T21:44:06+00:00","first_seen_at":"2026-06-05T22:32:10.100906+00:00","date_source":"source"},{"id":"9eede573-8159-495b-bba8-7c5320a57d08","url":"https://onlylabs.fyi/signals/9eede573-8159-495b-bba8-7c5320a57d08","source_url":"https://github.com/togethercomputer/saw-int4","title":"togethercomputer/saw-int4","context":"Shell","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2026-04-13T20:42:59+00:00","first_seen_at":"2026-06-05T22:32:10.100906+00:00","date_source":"source"},{"id":"5fee041b-cb44-48ef-88fc-5965d92ed015","url":"https://onlylabs.fyi/signals/5fee041b-cb44-48ef-88fc-5965d92ed015","source_url":"https://github.com/togethercomputer/skills","title":"togethercomputer/skills","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2026-03-31T18:07:13+00:00","first_seen_at":"2026-06-05T22:32:10.100906+00:00","date_source":"source"},{"id":"05c70378-c6ad-4625-9f81-2e2d366e11cc","url":"https://onlylabs.fyi/signals/05c70378-c6ad-4625-9f81-2e2d366e11cc","source_url":"https://github.com/togethercomputer/xorl-wheels","title":"togethercomputer/xorl-wheels","context":null,"kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2026-03-26T20:01:49+00:00","first_seen_at":"2026-06-05T22:32:10.100906+00:00","date_source":"source"},{"id":"c1641bcd-9848-4621-80bb-1110869407f4","url":"https://onlylabs.fyi/signals/c1641bcd-9848-4621-80bb-1110869407f4","source_url":"https://github.com/togethercomputer/xorl-sglang","title":"togethercomputer/xorl-sglang","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"together-ai","name":"Together AI","category":"neocloud"},"occurred_at":"2026-03-17T23:44:40+00:00","first_seen_at":"2026-06-05T22:32:10.100906+00:00","date_source":"source"}]}