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Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Run, scale, and manage AI workloads on any cloud
SkyPilot provides a unified, code‑first interface to launch, orchestrate, and auto‑scale GPU, TPU, or CPU jobs across Kubernetes clusters and 16+ cloud providers, cutting costs with spot and auto‑stop.
SkyPilot lets AI teams launch and manage GPU, TPU, or CPU jobs with a single YAML or Python definition. The same task file can run on Kubernetes, AWS, GCP, Azure, and over a dozen other clouds, eliminating vendor lock‑in.
The platform automatically selects the cheapest available resources, supports spot instances with automatic pre‑emptive recovery, and shuts down idle machines to save cost. Built‑in gang scheduling and multi‑cluster scaling let you run large‑scale LLM training or RL experiments without manual orchestration. Developers also get a local‑dev experience on Kubernetes, including SSH access, code sync, and IDE integration.
Deployments start with a simple pip install and a sky launch command, after which SkyPilot handles provisioning, monitoring, and cleanup across the chosen infrastructure.
When teams consider SkyPilot, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Finetune Llama 2 on a multi-cloud GPU pool
Trains the model in half the time while cutting cloud spend by 60% using spot instances.
Serve GPT-OSS 120B model with auto-scaling
Provides low-latency inference across clusters, automatically adding GPUs during traffic spikes and releasing them when idle.
Run RL-based LLM training with PPO on Kubernetes
Orchestrates distributed PPO jobs, handling preemptions and ensuring reproducible results.
Deploy Retrieval-Augmented Generation pipeline on hybrid infra
Synchronizes code and data, launches the RAG service on the cheapest available GPUs, and shuts down resources after completion.
It evaluates cost, GPU availability, and user-specified constraints, then automatically provisions the cheapest suitable instance, falling back to others if needed.
Yes, SkyPilot supports any Kubernetes cluster, allowing you to submit tasks alongside cloud resources.
Provide credentials for the target cloud and enable the `spot` flag in the resource spec; SkyPilot handles preemption and auto-recovery.
SkyPilot monitors job activity and shuts down idle VMs or pods after a configurable idle timeout, preventing unnecessary charges.
Currently SkyPilot is CLI-driven; job status can be inspected via `sky status` and logs are streamed to the console.
Project at a glance
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