{"id":13604575,"url":"https://github.com/MachineLearningSystem/nexus","last_synced_at":"2025-04-12T02:30:54.451Z","repository":{"id":185461886,"uuid":"510650691","full_name":"MachineLearningSystem/nexus","owner":"MachineLearningSystem","description":null,"archived":false,"fork":true,"pushed_at":"2022-02-11T03:06:57.000Z","size":1165,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2024-11-07T09:43:04.088Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":"uwsampl/nexus","license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MachineLearningSystem.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2022-07-05T08:29:35.000Z","updated_at":"2022-05-19T22:47:51.000Z","dependencies_parsed_at":null,"dependency_job_id":"6356a06b-3ed5-4243-a1bb-1cdfd7aebae5","html_url":"https://github.com/MachineLearningSystem/nexus","commit_stats":null,"previous_names":["machinelearningsystem/nexus"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2Fnexus","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2Fnexus/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2Fnexus/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2Fnexus/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MachineLearningSystem","download_url":"https://codeload.github.com/MachineLearningSystem/nexus/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248506901,"owners_count":21115503,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-08-01T19:00:48.414Z","updated_at":"2025-04-12T02:30:53.921Z","avatar_url":"https://github.com/MachineLearningSystem.png","language":null,"funding_links":[],"categories":["Paper-Code"],"sub_categories":["Serving-Inference"],"readme":"Nexus\n=====\n\n[![Docker Image](https://img.shields.io/microbadger/image-size/abcdabcd987/nexus)](https://hub.docker.com/repository/docker/abcdabcd987/nexus)\n\nNexus is a scalable and efficient serving system for DNN applications on GPU\ncluster.\n\n## SOSP 2019 Paper\n\n* Check out our SOSP 2019 paper [here](https://doi.org/10.1145/3341301.3359658).\n* Check out the [Google Drive](https://drive.google.com/open?id=104UqrlNrfJoQnGdkxTQ56mfxSBFyJTcr) that contains a sample of video dataset.\n\n## Building Nexus\n\nSee [BUILDING.md](BUILDING.md) for details.\n\n## Docker and Examples\n\nWe provide a [Docker image](https://hub.docker.com/repository/docker/abcdabcd987/nexus)\nso that you can try Nexus quickly. And there is an example that goes step by\nstep on how to run Nexus with a simple example application. We recommend you to\ntake a look [here](examples/README.md).\n\n## Deployment\n\n### Download Model Zoo\n\nNexus publishes public model zoo on our department-hosted GitLab. To download,\nyou need to install [Git LFS](https://git-lfs.github.com/) first. Then, run:\n\n```bash\ngit clone https://gitlab.cs.washington.edu/syslab/nexus-models\ncd nexus-models\ngit lfs checkout\n```\n\n### Run the Profiler\n\nNexus is a profile-based system. So before running Nexus, make sure you have\nprofiled all the GPUs. To profile a certain model on a certain GPU, run:\n\n```bash\nnexus/tools/profiler/profiler.py --gpu_list=GPU_INDEX --gpu_uuid \\\n    --framework=tensorflow --model=MODEL_NAME \\\n    --model_root=nexus-models/ --dataset=/path/to/datasets/\n```\n\nThe profile will be saved to the `--model_root` directory.\nSee [examples](examples/README.md) for more concrete usage.\n\n### Run Nexus\n\nTo run Nexus, you need to run the **scheduler** first, then spawn a **backend** for each\nGPU card, and finally run the Nexus **frontend** of your application.\nSee [examples](examples/README.md) for more concrete usage.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMachineLearningSystem%2Fnexus","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FMachineLearningSystem%2Fnexus","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMachineLearningSystem%2Fnexus/lists"}