{"id":22552808,"url":"https://github.com/larygwil/ffmpeg-static-cuda","last_synced_at":"2026-05-06T08:31:23.481Z","repository":{"id":214359948,"uuid":"736321906","full_name":"larygwil/ffmpeg-static-cuda","owner":"larygwil","description":"ffmpeg static binaries for Linux that work on some old Nvidia gpu (not tested)","archived":false,"fork":false,"pushed_at":"2023-12-31T05:22:57.000Z","size":18,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-11T05:35:10.580Z","etag":null,"topics":["avc","cuda","cuvid","ffmpeg","h264","h265","hevc","nvdec","nvenc"],"latest_commit_sha":null,"homepage":"","language":"Shell","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/larygwil.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2023-12-27T15:34:55.000Z","updated_at":"2025-03-16T05:50:09.000Z","dependencies_parsed_at":"2023-12-31T06:57:14.098Z","dependency_job_id":null,"html_url":"https://github.com/larygwil/ffmpeg-static-cuda","commit_stats":{"total_commits":7,"total_committers":1,"mean_commits":7.0,"dds":0.0,"last_synced_commit":"df46f1faf0101259d990f8e907d65f91eebefac4"},"previous_names":["larygwil/ffmpeg-static-cuda"],"tags_count":4,"template":false,"template_full_name":null,"purl":"pkg:github/larygwil/ffmpeg-static-cuda","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/larygwil%2Fffmpeg-static-cuda","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/larygwil%2Fffmpeg-static-cuda/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/larygwil%2Fffmpeg-static-cuda/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/larygwil%2Fffmpeg-static-cuda/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/larygwil","download_url":"https://codeload.github.com/larygwil/ffmpeg-static-cuda/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/larygwil%2Fffmpeg-static-cuda/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32684592,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-06T02:33:58.958Z","status":"ssl_error","status_checked_at":"2026-05-06T02:33:39.611Z","response_time":117,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["avc","cuda","cuvid","ffmpeg","h264","h265","hevc","nvdec","nvenc"],"created_at":"2024-12-07T18:07:36.886Z","updated_at":"2026-05-06T08:31:23.458Z","avatar_url":"https://github.com/larygwil.png","language":"Shell","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ffmpeg-static-cuda\n\n## Download and use\n\nDownload from the releases. \n\nStatic ffmpeg binary for Linux with cuda (nvenc, cuvid(nvdec)), h264(avc), h265(hevc)\n\nAlso have binaries that work on some old Nvidia gpus.\n\nUse cuda utilites to see if it can find your gpu, first.\n\n## How to build a static ffmpeg with cuda\n\nSee the shell scripts.\n\nIf you want to use on old Nvidia gpu, you can download my binaries, or compile one yourself. (Although, buying a new gpu is better.)\n\n\nOld gcc means you can't compile new ffmpeg. Use old.\n\nUse nv-codec-headers old version if you want to use on old gpus\n\nSee the shell scripts. Good luck.\n\n```\nCUDA version \tmax supported GCC version\n12.1, 12.2, 12.3 \t12.2\n12 \t12.1\n11.4.1+, 11.5, 11.6, 11.7, 11.8 \t11\n11.1, 11.2, 11.3, 11.4.0 \t10\n11 \t9\n10.1, 10.2 \t8\n9.2, 10.0 \t7\n9.0, 9.1 \t6\n8 \t5.3\n7 \t4.9\n5.5, 6 \t4.8\n4.2, 5 \t4.6\n4.1 \t4.5\n4.0 \t4.4\n```\n\n```\nCUDA ver \tcapatibility supported \tarch\n3.0 – 3.1 \t1.0 – 2.0 \tTesla, Fermi \t\n3.2 \t1.0 – 2.1 \tTesla, Fermi \t\n4.0 – 4.2 \t1.0 – 2.1+x \tTesla, Fermi \t\n5.0 – 5.5 \t1.0 – 3.5 \tTesla, Fermi, Kepler \t\n6.0 \t1.0 – 3.5 \tTesla, Fermi, Kepler \t\n6.5 \t1.1 – 5.x \tTesla, Fermi, Kepler, Maxwell \t最後支援計算能力 1.x (Tesla) 的版本\n7.0 – 7.5 \t2.0 – 5.x \tFermi, Kepler, Maxwell \t\n8.0 \t2.0 – 6.x \tFermi, Kepler, Maxwell, Pascal \t最後支援計算能力 2.x (Fermi) 的版本；GTX 1070Ti 不受支援 \n9.0 no fermi\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flarygwil%2Fffmpeg-static-cuda","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flarygwil%2Fffmpeg-static-cuda","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flarygwil%2Fffmpeg-static-cuda/lists"}