{"id":"9b11207d-b040-4305-b5eb-edee544e1d71","url":"https://api.tumn.com/news/9b11207d-b040-4305-b5eb-edee544e1d71","title":"Scale Bitwise-Deterministic Pretraining with NVIDIA Megatron Core","summary":"Bitwise determinism makes large-scale pretraining easier to debug, validate, and resume reproducibly. These benefits become especially valuable when training...","sections":[],"faq":[],"sources":[{"url":"https://developer.nvidia.com/blog/scale-bitwise-deterministic-pretraining-with-nvidia-megatron-core/","title":"NVIDIA Developer Blog","publishedAt":"2026-10-06T19:58:03.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-06T19:58:03.000Z","modifiedAt":"2026-10-09T04:24:37.000Z","checkedAt":"2026-10-09T04:24:37.379Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/9b11207d-b040-4305-b5eb-edee544e1d71.json","markdown":"https://api.tumn.com/news/9b11207d-b040-4305-b5eb-edee544e1d71.md"}}