{"id":18843447,"url":"https://github.com/ai-hypercomputer/tpu-recipes","last_synced_at":"2025-09-03T08:32:04.122Z","repository":{"id":260006940,"uuid":"858929115","full_name":"AI-Hypercomputer/tpu-recipes","owner":"AI-Hypercomputer","description":null,"archived":false,"fork":false,"pushed_at":"2024-12-26T23:10:11.000Z","size":90,"stargazers_count":5,"open_issues_count":4,"forks_count":5,"subscribers_count":10,"default_branch":"main","last_synced_at":"2024-12-30T04:16:14.206Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Shell","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AI-Hypercomputer.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-09-17T19:20:51.000Z","updated_at":"2024-12-26T23:10:15.000Z","dependencies_parsed_at":"2024-12-10T19:50:20.018Z","dependency_job_id":null,"html_url":"https://github.com/AI-Hypercomputer/tpu-recipes","commit_stats":null,"previous_names":["ai-hypercomputer/tpu-recipes"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AI-Hypercomputer%2Ftpu-recipes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AI-Hypercomputer%2Ftpu-recipes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AI-Hypercomputer%2Ftpu-recipes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AI-Hypercomputer%2Ftpu-recipes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AI-Hypercomputer","download_url":"https://codeload.github.com/AI-Hypercomputer/tpu-recipes/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":231861047,"owners_count":18437340,"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":"2024-11-08T02:57:49.642Z","updated_at":"2025-09-03T08:32:04.111Z","avatar_url":"https://github.com/AI-Hypercomputer.png","language":"Shell","readme":"# Cloud TPU performance recipes\n\nThis repository provides the necessary instructions to reproduce a\nspecific workload on Google Cloud TPUs. The focus is on reliably achieving\na performance metric (e.g. throughput) that demonstrates the combined hardware\nand software stack on TPUs.\n\n## Organization\n\n- `./training`: instructions to reproduce the training performance of\n  popular LLMs, diffusion, and other models with PyTorch and JAX.\n\n- `./inference`: instructions to reproduce inference performance.\n\n- `./microbenchmarks`: instructions for low-level TPU benchmarks such as\n  matrix multiplication performance and memory bandwidth.\n\n## Contributor notes\n\nNote: This is not an officially supported Google product. This project is not\neligible for the [Google Open Source Software Vulnerability Rewards\nProgram](https://bughunters.google.com/open-source-security).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fai-hypercomputer%2Ftpu-recipes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fai-hypercomputer%2Ftpu-recipes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fai-hypercomputer%2Ftpu-recipes/lists"}