{"id":33387602,"url":"https://github.com/velda-io/velda","last_synced_at":"2025-11-28T02:03:35.270Z","repository":{"id":308486782,"uuid":"1031531646","full_name":"velda-io/velda","owner":"velda-io","description":"Run GPU or batch jobs directly from your dev environment","archived":false,"fork":false,"pushed_at":"2025-11-21T06:12:28.000Z","size":999,"stargazers_count":70,"open_issues_count":1,"forks_count":1,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-11-21T08:20:56.882Z","etag":null,"topics":["cloud-computing","cloud-management","job-scheduler","ml-infrastructure","ml-platform","workflow"],"latest_commit_sha":null,"homepage":"http://velda.io","language":"Go","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/velda-io.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-08-03T23:57:52.000Z","updated_at":"2025-11-21T06:12:31.000Z","dependencies_parsed_at":"2025-08-20T20:36:34.198Z","dependency_job_id":"dbad729c-e44a-435c-8178-989a793564e7","html_url":"https://github.com/velda-io/velda","commit_stats":null,"previous_names":["velda-io/velda"],"tags_count":7,"template":false,"template_full_name":null,"purl":"pkg:github/velda-io/velda","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/velda-io%2Fvelda","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/velda-io%2Fvelda/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/velda-io%2Fvelda/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/velda-io%2Fvelda/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/velda-io","download_url":"https://codeload.github.com/velda-io/velda/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/velda-io%2Fvelda/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":27291118,"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","status":"online","status_checked_at":"2025-11-28T02:00:06.623Z","response_time":58,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["cloud-computing","cloud-management","job-scheduler","ml-infrastructure","ml-platform","workflow"],"created_at":"2025-11-23T06:00:39.168Z","updated_at":"2025-11-28T02:03:35.265Z","avatar_url":"https://github.com/velda-io.png","language":"Go","funding_links":[],"categories":["Software"],"sub_categories":["Trends"],"readme":"\u003ca href=\"https://velda.io\"\u003e\n    \u003cimg width=\"2334\" height=\"1206\" alt=\"Velda banner image\" src=\"https://github.com/user-attachments/assets/31e8ba86-df2b-4be3-a43d-7b61d1a3b6f0\" /\u003e\n\u003c/a\u003e\n\n# Velda\n\nVelda is a cloud-native development, workload orchestration \u0026 HPC (High Performance Computing) platform. Directly scale your application from your development environment, no extra setup required.\n\n## Code on Velda\n\nVelda provides a seamless development experience.\n* Connect with your favorite IDE (e.g., SSH, VS Code, Cursor, Windsurf), or code and run directly from your browser (hosted or enterprise only).\n* Onboard new developers instantly by cloning from a pre-configured image, or customize your own.\n* Compatible with most libraries, tools, or package managers. All your environment modifications and customizations are persisted and isolated from other users.\n\n## Scale in seconds\nVelda provides the simplest way to scale or run workloads with different hardware requirements:\n* `vrun` is all you need. Prefix `vrun` to your command, and run your workload with the resource you requested.\n* Run any workload: machine learning training, batch processing, or host a microservice cluster.\n* Unbounded capacity: Access as many machines as you need from your cloud provider.\n* Your environment is always consistent. All your code, data, dependencies, and environment will be mounted on the new machine.\n\n## Save $$$\nSave instantly with Velda:\n* No more idle GPUs, sandboxes, or machines. Only allocate the resources you need. Stop paying for GPUs while coding or in meetings.\n* Save engineering time building, updating, and maintaining container images.\n* Optionally, skip Kubernetes cluster management and scale directly with VMs from your cloud provider.\n\n# Getting started\n## Using mini-velda\n[Mini-velda](/docs/mini-velda.md) runs a Velda sandbox directly from your workstation, and automatically configure your cluster to scale to the cloud. Also see [limits and restrictions](/docs/mini-velda.md#Limitations).\n\nTo start a mini-velda cluster:\n```\n# Init the sandbox\nvelda mini init sandbox\n\n# Connect to the sandbox\nssh mini-velda\n\n# In mini-velda sandbox, setup environment as usual\nsudo apt install python3\npip install torch\n\n# Run workload with L4 GPUs\nvrun -P aws:g6.xlarge train.sh\n```\n\nCurrently support automatic configuration from AWS environment, and manual configuration for GCP, K8s and command based backend.\n\n## Set-up a shared cluster\nFor organizations who want sharing the cluster resource or centralized management, or needs more than mini-velda provides, you may deploy a standalone Velda cluster that is shared with team-members.\nWe support various deployment methods.\n* Set up a new cluster:\n  * [Directly on machines](docs/cluster_setup.md)\n  * [AWS/Google Cloud](docs/terraform_setup.md)\n  * Other cloud providers coming soon.\n* [Connect to a cluster](docs/connect.md)\n\n# 🤝 Contributing\nWe love contributions from our community ❤️. Pull requests are welcome!\n\n# 👥 Community\nWe are super excited for community contributions of all kinds - whether it's code improvements, documentation updates, issue reports, feature requests, or discussions in our Discord.\n\nJoin our community here:\n\n* 🌟 [Star us on GitHub](https://github.com/velda-io/velda)\n* 👋 [Join our Discord community](https://discord.gg/MJQbeE33)\n* 📜 [Read our blog posts](https://blog.velda.io)\n\n# Learn more\nCheck out [velda.io](https://velda.io) to learn more about Velda and our hosted/enterprise offerings.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvelda-io%2Fvelda","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvelda-io%2Fvelda","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvelda-io%2Fvelda/lists"}