skypilot-org/skypilot
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 11 days ago, with 283 contributors on GitHub.
Peaked at #38 in the weekly ranking the week of Aug 16, its best in the past year.
Use Cases & Benefits
- Orchestrates and scales AI workloads across multiple cloud and on-premise infrastructures with a unified interface.
- Provides cost-efficient, fault-tolerant AI compute by intelligently scheduling jobs on the cheapest and most available resources including spot instances.
- Use for running distributed training and hyperparameter tuning jobs on heterogeneous GPU, TPU, and CPU clusters without code changes.
- Use for managing multi-cloud AI infrastructure with seamless failover and resource sharing across Kubernetes, Slurm, and major cloud providers.
- Use for serving and fine-tuning large language models like OpenAI GPT-OSS and Llama on custom or cloud clusters with one command.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
LLM Finetuning Cookbooks: Finetuning Llama 2 / Llama 3.1 in your own cloud environment, privately: Llama 2 example and blog; Llama 3.1 example and blog
SkyPilot is a system to run, manage, and scale AI workloads on any AI infrastructure.
SkyPilot gives AI teams a simple interface to run jobs on any infra. Infra teams get a unified control plane to manage any AI compute — with advanced scheduling, scaling, and orchestration.
SkyPilot is easy to use for AI teams:
SkyPilot makes Kubernetes easy for AI & Infra teams:
SkyPilot unifies multiple clusters, clouds, and hardware:
SkyPilot cuts your cloud costs & maximizes GPU availability:
SkyPilot supports your existing GPU, TPU, and CPU workloads, with no code changes.
To get the latest features and fixes, use the nightly build or install from source:
Current supported infra: Kubernetes, AWS, GCP, Azure, OCI, Nebius, Lambda Cloud, RunPod, Fluidstack, Cudo, Digital Ocean, Paperspace, Cloudflare, Samsung, IBM, Vast.ai, VMware vSphere.
You can find our documentation here.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+324 stars over 88 days across 8 snapshot days; best day +10 on Aug 14.
Forks
1.3K+148
Open issues
534+168
Compared with peers in Deep Learning
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| rohitg00/ai-engineering-from-scratch | 78.3K | +1.6K | 75 | 1 day ago |
| SYSTRAN/faster-whisper | 26.5K | — | 40 | 368 days ago |
| GeeeekExplorer/nano-vllm | 16.3K | — | 12 | — |
| Lightning-AI/litgpt | 13.8K | — | 58 | 129 days ago |
| data-privacy-stack/presidio | 11.8K | — | 64 | 10 days ago |
| skypilot-org/skypilot | 10.8K | — | 59 | 11 days ago |
| Category median | 16.3K | — | 58 | — |
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