1. 최초 개발자

PyTorch는 2016년 10월 Adam Paszke가 인턴십 프로젝트로 시작했으며, Soumith Chintala를 비롯해 Sam Gross와 Gregory Chanan이 핵심 개발 멤버로 참여했다[1][2].

2. 주요 역사

PyTorch는 C++ 기반의 머신러닝 라이브러리인 Torch(2001년 출시)가 발전해 Torch7(2012년)까지 이어진 뒤, Python 친화적 인터페이스와 동적 계산 그래프를 목표로 2016년 말부터 개발을 시작했다[3].
2017년 1월 첫 공개 릴리스 이후 연구 커뮤니티에서 빠르게 인기 프레임워크로 자리 잡았으며[3],
2018년 3월 Facebook(현 Meta AI)의 Caffe2를 통합해 연구용과 배포용 기능을 결합했다[3].
2022년 9월에는 Linux Foundation 산하 독립 법인인 PyTorch Foundation이 설립되어 거버넌스를 맡게 되었고[3],
2023년 3월 15일 PyTorch 2.0이 출시되어 컴파일러(TorchDynamo) 기반 성능 개선을 구현했다[1].

3. 현재 리더십

• 기술 개발 총괄: Soumith Chintala가 Meta AI에서 PyTorch 및 AI 인프라 관련 기술 전반을 이끌고 있다[4].
• 재단 운영 책임자: Linux Foundation의 AI 총괄 겸 PyTorch Foundation Executive Director를 맡은 Matt White가 재단 운영을 지휘한다[5].
• Technical Advisory Council (TAC): 의장(Chair)으로 Luca Antiga, 부의장(Vice Chair)으로 Jiong Gong이 기술 자문 위원회를 이끌며 생태계 방향성을 결정한다[6].

출처
[1] When was PyTorch founded, and who were its original authors? https://askai.glarity.app/search/When-was-PyTorch-founded–and-who-were-its-original-authors
[2] PyTorch – Golden https://golden.com/wiki/PyTorch-NMGD4Y4
[3] PyTorch – Wikipedia https://en.wikipedia.org/wiki/PyTorch
[4] Soumith Chintala – – Researchr https://conf.researchr.org/profile/soumithchintala
[5] Staff – PyTorch https://pytorch.org/staff/
[6] PyTorch Foundation Technical Advisory Council Elects New … https://pytorch.org/blog/tac-elects-new-leadership/
[7] PyTorch, a year in…. https://pytorch.org/blog/a-year-in/
[8] The Complete History and Evolution of PyTorch | Deep Learning … https://tensorgym.com/blog/pytorch-history
[9] Meet our keynote speaker Adam Paszke! https://2019.th.pycon.org/en/posts/sm02-meet-our-keynote-speaker-adam-paszketh/
[10] PyTorch Turns 5! https://www.youtube.com/watch?v=r7qB7mKJOFk
[11] Governing Board – PyTorch https://pytorch.org/governing-board/
[12] PyTorch Foundation https://pytorch.org/foundation/
[13] PyTorch Lightning Governance | Persons of interest¶ https://pytorch-lightning.readthedocs.io/en/1.2.10/governance.html
[14] New to the PyTorch Foundation https://pytorch.org/new/
[15] PyTorch Governance | Mechanics https://pytorch.org/docs/stable/community/governance.html
[16] Pytorch Lightning Governance | Persons of interest¶ https://pytorch-lightning.readthedocs.io/en/0.9.0/governance.html
[17] adam paszke pytorch https://www.youtube.com/watch?v=Dw-W-tARrOE
[18] Soumith Chintala PyData NYC 2023 https://nyc2023.pydata.org/cfp/speaker/ZZ9MVX/
[19] PyTorch Foundation https://pytorch-cn.com/foundation
[20] PyTorch Governance | Mechanics¶ https://pytorch.org/docs/2.6/community/governance.html

TensorFlow 개요, 역사 및 현재 리더십

1. 최초 개발자

TensorFlow는 Google Brain 팀이 개발한 두 번째 세대 머신러닝 시스템으로, 2015년 11월 9일 Jeff Dean(수석 Google Fellow)와 Rajat Monga(기술 리드)가 핵심적인 주도로 오픈소스로 공개했다[1]. TensorFlow 백서의 저자로는 Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Ian Goodfellow 등 60여 명의 연구자·개발자가 참여했다[2].

2. 주요 역사

2011년 Google Brain 팀은 대규모 분산 신경망 학습을 위해 DistBelief를 개발·사용하기 시작했다.
TensorFlow는 이 DistBelief를 일반화·경량화한 시스템으로, 2015년 11월 Apache 2.0 라이선스로 공개되었다[1].
2017년 2월 11일 TensorFlow 1.0.0이 정식 출시되어 멀티 CPU·GPU 분산 학습을 지원하기 시작했고[3],
2019년 9월에는 Keras 통합 및 Eager 실행 모드를 기본으로 채택한 TensorFlow 2.0이 발표되며 사용자 경험을 대폭 개선했다[4].
이후 경량화된 추론을 위한 TensorFlow Lite, 모바일·임베디드용 TensorFlow Micro, 웹 브라우저용 TensorFlow.js, 프로덕션 파이프라인용 TFX 등 생태계 전반이 확장되었다[5][6].

3. 현재 리더십

TensorFlow 프로젝트는 여전히 Google Brain 팀 산하에서 Google Research가 주도하며 개발을 지속하고 있다.

• 프로젝트 총괄(Overseer): Jeff Dean(수석 Google Fellow)가 Google AI 연구 전반을 이끌며 TensorFlow 개발을 감독한다.
• 기술 리드(Technical Leads):
• Pete Warden가 TensorFlow Micro(모바일·임베디드 경량 추론) 팀의 기술 리드를 맡아 프레임워크 최적화를 주도한다[7][8].
• 커뮤니티 운영: Joana Carrasqueira, Lynette Gaddi 등 Google의 프로그램 매니저들이 글로벌 커뮤니티 활성화 및 SIG(Special Interest Group) 조직 운영을 책임진다[9].
• SIG 리더십: SIG Addons, SIG Build, SIG IO 등 각 분야별 커뮤니티 주도 그룹이 개방형 RFC(RRequest for Comment) 과정을 통해 TensorFlow 확장 방향을 결정한다[10][11].

출처
[1] [PDF] Open Neural Network Exchange (ONNX) – KIT Indico https://indico.kit.edu/event/2853/contributions/11213/attachments/5386/8287/2022_09_13_OnnxTalk_Fehlner.pdf
[2] Citing TensorFlow https://www.tensorflow.org/about/bib
[3] TensorFlow – Wikipedia https://en.wikipedia.org/wiki/TensorFlow
[4] TensorFlow 2.0과 Cloud AI를 사용하여 확장 가능한 머신러닝 모델 … https://developers-kr.googleblog.com/2019/07/tensorflow-2-0-and-cloud-ai-make-it-easy-to-train-deploy-and-maintain-scalable-machine-learning-models.html
[5] Google의 오픈소스 머신러닝 시스템, TensorFlow. – GOOD to GREAT https://goodtogreate.tistory.com/entry/Google%EC%9D%98-%EC%98%A4%ED%94%88%EC%86%8C%EC%8A%A4-%EB%A8%B8%EC%8B%A0%EB%9F%AC%EB%8B%9D-%EC%8B%9C%EC%8A%A4%ED%85%9C-TensorFlow
[6] Build from source – TensorFlow https://www.tensorflow.org/install/source
[7] Pete Warden – edX https://www.edx.org/bio/pete-warden
[8] Building Mobile Apps with TensorFlow: An Interview with Google’s … https://www.edge-ai-vision.com/2017/07/building-mobile-apps-with-tensorflow-an-interview-with-googles-pete-warden/
[9] Meet TensorFlow community leads around the world https://blog.tensorflow.org/2021/06/meet-tensorflow-community-leads-around-the-world.html
[10] SIG playbook | TensorFlow https://www.tensorflow.org/community/sig_playbook
[11] Combining quality and collaboration in TensorFlow – DESOSA 2020 https://desosa.nl/projects/tensorflow/2020/03/23/quality-and-technical-debt
[12] [1605.08695] TensorFlow: A system for large-scale machine learning https://arxiv.org/abs/1605.08695
[13] Deep Learning With TensorFlow: A Review – Sage Journals https://journals.sagepub.com/doi/10.3102/1076998619872761
[14] TensorFlow Releases – GitClear https://www.gitclear.com/open_repos/tensorflow/tensorflow/releases
[15] TensorFlow Titans: 15 Best Developers Right Now – EchoGlobal Tech https://echoglobal.tech/technologies/tensorflow/
[16] LICENSE – external/github.com/tensorflow/tensorflow – Git at Google https://chromium.googlesource.com/external/github.com/tensorflow/tensorflow/+/b874783ccdf4cc36cb3546e6b6a998cb8f3470bb/LICENSE
[17] TensorFlow release history – Amazon EMR – AWS Documentation https://docs.aws.amazon.com/emr/latest/ReleaseGuide/TensorFlow-release-history.html
[18] Welcome to TensorFlow’s global community https://www.tensorflow.org/community
[19] Tensorflow Backend for ONNX – GitHub https://github.com/onnx/onnx-tensorflow
[20] TensorFlow https://www.tensorflow.org
[21] Contribute to the TensorFlow community https://www.tensorflow.org/community/contribute/community
[22] Using CI-based workflow with Renode in bringing TensorFlow Lite … https://zephyrproject.org/using-ci-based-workflow-with-renode-in-bringing-tensorflow-lite-to-zephyr/
[23] Ncloud TensorFlow Cluster – AI Services – 네이버 클라우드 플랫폼 https://m.ncloud.com/product/aiService/NcloudTensorFlowCluster
[24] [Terraform] 8-1. What is OpenTofu ? – Seong’s Skill Builder – 티스토리 https://okms1017.tistory.com/73
[25] OpenTofu Joins the Linux Foundation – Spacelift https://spacelift.io/blog/opentofu-joins-the-linux-foundation
[26] ECIS 2025 Proceedings: Towards understanding open and … https://aisel.aisnet.org/ecis2025/gov_platform/gov_platform/1/
[27] OpenTF Foundation Released OpenTF Manifesto – InfoQ https://www.infoq.com/news/2023/08/opentf-manifesto-terraform/
[28] AI Development Frameworks in 2025: TensorFlow, PyTorch, Keras … https://www.linkedin.com/pulse/ai-development-frameworks-2025-tensorflow-pytorch-keras-amit-kharche-jdqof
[29] Has Google completely abandoned TensorFlow? #20217 – GitHub https://github.com/keras-team/keras/discussions/20217
[30] TensorFlow – Google’s latest machine learning system, open … https://research.google/blog/tensorflow-googles-latest-machine-learning-system-open-sourced-for-everyone/
[31] TensorFlow: smarter machine learning, for everyone – Google Blog https://blog.google/technology/ai/tensorflow-smarter-machine-learning-for/
[32] steering · GitHub Topics https://github.com/topics/steering
[33] TensorFlow 2.0 and Cloud AI make it easy to train, deploy, and … https://cloud.google.com/blog/products/ai-machine-learning/tensorflow-2-0-and-cloud-ai-make-it-easy-to-train-deploy-and-maintain-scalable-machine-learning-models
[34] How to contribute on tensor flow for beginners? – General … https://discuss.ai.google.dev/t/how-to-contribute-on-tensor-flow-for-beginners/31071
[35] How to Effectively Collaborate on TensorFlow Projects Using GitHub https://moldstud.com/articles/p-strategies-for-successful-collaboration-on-tensorflow-projects-with-github-integration
[36] The TensorFlow RFC process https://www.tensorflow.org/community/contribute/rfc_process
[37] Contribute to TensorFlow Special Interest Groups (SIGs) https://www.tensorflow.org/community/contribute/sigs
[38] Rajat Monga – San Francisco Bay Area | Professional Profile | LinkedIn https://www.linkedin.com/in/rajatmonga
[39] A Conversation with Rajat Monga: From TensorFlow to Next-Gen AI https://substack.com/home/post/p-153312878
[40] A conversation with Rajat Monga: AI’s impact on the role of Product … https://www.rivierapartners.com/a-conversation-with-rajat-monga-ais-impact-on-the-role-of-product-leadership/
[41] Rajat Monga | MLconf – The Machine Learning Conference https://mlconf.com/speakers/rajat-monga/
[42] Rajat Monga on TensorFlow, Startups, and the Future of AI – YouTube https://www.youtube.com/watch?v=JfwIjc3VxEU
[43] Rajat Monga, Class of 1996 – BSP IIT Delhi https://www.bspiitd.com/post/alum-album-rajat-monga
[44] When I started my career Microsoft Windows was ubiquitous. | Rajat … https://www.linkedin.com/posts/rajatmonga_when-i-started-my-career-microsoft-windows-activity-7202833839574970368-m35Q
[45] TensorFlow 소개 https://www.tensorflow.org/learn
[46] 텐서플로(TensorFlow)란 무엇인가? 기초 개념과 활용 방법 – 차니 https://chaaany.tistory.com/306
[47] Machine learning education – TensorFlow https://www.tensorflow.org/resources/learn-ml
[48] 텐서플로 – 위키백과, 우리 모두의 백과사전 https://ko.wikipedia.org/wiki/%ED%85%90%EC%84%9C%ED%94%8C%EB%A1%9C
[49] Install TensorFlow with pip https://www.tensorflow.org/install/pip
[50] Why is everybody using tf on Linux? : r/tensorflow – Reddit https://www.reddit.com/r/tensorflow/comments/j1id4b/why_is_everybody_using_tf_on_linux/
[51] Tech Lead, Search Discover, Core Modeling — Google Careers https://www.google.com/about/careers/applications/jobs/results/139203257204384454-tech-lead/
[52] Pete Warden – Professional and Lifelong Learning https://pll.harvard.edu/instructor/pete-warden
[53] Heng-Tze Cheng – Research at Google https://research.google.com/pubs/Heng-TzeCheng.html
[54] AA The TensorFlow Authors – Oracle Help Center https://docs.oracle.com/en/industries/communications/network-data-analytics/23.3.0/nwdaf-lium-23-3-0/tensorflow-authors.html
[55] TensorFlow Impact on Advanced Deep Learning Projects – MoldStud https://moldstud.com/articles/p-the-role-of-tensorflow-in-advanced-deep-learning-projects-unlocking-the-future-of-ai
[56] OpenTF repository is now public – Hacker News https://news.ycombinator.com/item?id=37392581
[57] Linux Foundation Launches OpenTofu (formerly OpenTF) – | FOSSlife https://www.fosslife.org/linux-foundation-launches-opentofu-formerly-opentf
[58] TensorFlow Enterprise documentation – Google Cloud https://cloud.google.com/tensorflow-enterprise/docs
[59] TensorFlow Governance: Code and Collaboration – GitHub https://github.com/tensorflow/community/blob/master/governance/code-and-collaboration.md
[60] community/governance/SIGS.md at master · tensorflow … – GitHub https://github.com/tensorflow/community/blob/master/governance/SIGS.md
[61] Ncloud TensorFlow Cluster – AI Services – 네이버 클라우드 플랫폼 https://www.ncloud.com/product/aiService/NcloudTensorFlowCluster
[62] Rajat Monga (@rajatmonga) / X https://x.com/rajatmonga
[63] TensorFlow (텐서 플로우) – Databricks https://www.databricks.com/kr/glossary/tensorflow-guide
[64] Technical Lead Manager, AI Flow Platform, GDM Deployment – Google https://www.google.com/about/careers/applications/jobs/results/121584377535570630-technical-lead-manager-ai-flow-platform-gdm-deployment?%2F&page=27
[65] Moloco Machine Learning Engineer, Tech Lead(서울, 대한민국 … https://kr.linkedin.com/jobs/view/machine-learning-engineer-tech-lead-at-moloco-4034451622