SkyPilot
SkyPilot is an AI compute platform that manages Kubernetes, Slurm, virtual machines, on-premises systems, and cloud resources through one interface.
What SkyPilot is
SkyPilot is an AI compute platform that manages Kubernetes, Slurm, virtual machines, on-premises systems, and cloud resources through one interface. Listed workloads span development, pre-training, post-training and reinforcement learning, batch inference, sandboxes, and inference endpoints. Scheduling features include priority queues, GPU sharing, quotas, and intelligent scheduling across workloads. It also provides proactive and reactive fleet health checks with auto-remediation for GPU and NCCL-related faults. Integrations listed include Kubernetes, Slurm, AWS, GCP, Azure, Nebius, CoreWeave, Lambda, RunPod, and other compute providers. The open-source project began at UC Berkeley's Sky Computing Lab, and an open-source version is linked. Enterprise capabilities include SSO onboarding, policy enforcement, RBAC, workspaces, and a unified compute dashboard, plus BYOC, BYOK, private VPC, and air-gapped deployment options. The maker positions SkyPilot Platform for frontier AI teams with large GPU fleets. Documentation says Slurm support is under active development and SkyServe deployments on Slurm are not yet supported.
Good
- Open-source version available
- Supports quota controls and GPU sharing
- GPU and NCCL fault remediation
- Multiple cloud and compute integrations
Watch out
- Slurm support is under active development
- SkyServe deployments on Slurm are not yet supported
- Platform is positioned for large GPU fleets
Who it suits
SkyPilot suits AI teams managing workloads across cloud, Kubernetes, Slurm, VMs, and on-premises infrastructure. The platform offering is positioned for teams with large GPU fleets and demanding AI workloads.
Verdict
SkyPilot brings compute resources and workload scheduling into one platform, with fleet health features and enterprise controls. Slurm remains a limitation: support is in development, and SkyServe deployments on Slurm are not yet supported.
The facts
Each one read from SkyPilot's own pages, with the date it was checked.
What it does
- Compliance
- SkyPilot's Trust Center lists SOC 2 Type II and a 2026 SOC 2 Type II report.checked 5 Oct 2026
- Compute integrations
- The maker lists integrations including AWS, GCP, Azure, Nebius, CoreWeave, Lambda, RunPod, Kubernetes, Slurm, and on-premises infrastructure.checked 5 Oct 2026
- Deployment model
- The documentation says SkyPilot can run standalone or connect to a remote API server for multi-user collaboration.checked 5 Oct 2026
- Enterprise security
- The site displays SOC 2 Type II and describes BYOC, BYOK, private VPC, and air-gapped deployment options.checked 4 Oct 2026
- GPU health
- It provides proactive and reactive fleet health checks with auto-remediation for GPU and NCCL-related faults.checked 4 Oct 2026
- Integrations
- The site lists Kubernetes, Slurm, AWS, GCP, Azure, Nebius, CoreWeave, Lambda, RunPod, and other cloud and compute providers.checked 4 Oct 2026
- Open source
- SkyPilot began as an open-source project at UC Berkeley's Sky Computing Lab.checked 5 Oct 2026
- Product
- SkyPilot unifies Kubernetes, Slurm, VMs, and on-premises compute to run AI workloads across the AI lifecycle.checked 4 Oct 2026
- Purpose
- SkyPilot is an AI compute platform for managing Kubernetes, Slurm, VMs, on-premises systems, and cloud resources through one interface.checked 5 Oct 2026
- Scheduling
- SkyPilot offers workload scheduling, GPU monitoring, quotas, priority queueing, GPU sharing, and GPU health checks with auto-remediation.checked 5 Oct 2026
- Security deployment
- The enterprise offering lists bring-your-own-cloud and bring-your-own-key, private VPCs, and air-gapped deployment.checked 5 Oct 2026
- Slurm limitation
- The documentation says Slurm support is under active development and SkyServe deployments on Slurm are not yet supported.checked 5 Oct 2026
- Support
- The maker invites users to connect with the SkyPilot team and community through Slack.checked 5 Oct 2026
- Target users
- The maker positions SkyPilot Platform for frontier AI teams managing large GPU fleets and AI workloads.checked 4 Oct 2026
- Usage limit
- The maker describes SkyPilot Platform as optimized for large GPU fleets and frontier workloads, with performance to scale to thousands or tens of thousands of GPUs.checked 4 Oct 2026
- Workloads
- The platform supports AI development, pre-training, post-training and reinforcement learning, batch inference, sandboxes, and inference endpoints.checked 5 Oct 2026
Money
- Cost controls
- The maker lists automatic stopping of idle compute, quota management, and cost reporting.checked 5 Oct 2026
The company
- Team controls
- The maker lists SSO onboarding, role-based access control, workspaces, policy enforcement, and a unified compute dashboard.checked 5 Oct 2026
