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SPECIFICTION
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OpenPBS vs SkyPilot

OpenPBS

openpbs.org

SkyPilot

skypilot.ai

Side by side

FigureOpenPBSSkyPilot
Price fromFree—
Free planYes—
Free trial——
Open source——
Web—Yes
macOSYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published10
Spec score · GPU Cluster Management Software7.6 (#9)6.9 (#16)
PurposeOpenPBS optimizes job scheduling and workload management in high-performance computing environments.SkyPilot is an AI compute platform for managing Kubernetes, Slurm, VMs, on-premises systems, and cloud resources through one interface.
SchedulingPolicy-driven scheduling balances job turnaround time and utilization with optimal job placement.SkyPilot offers workload scheduling, GPU monitoring, quotas, priority queueing, GPU sharing, and GPU health checks with auto-remediation.

Plans

OpenPBS

  • OpenPBS open-source editionFree

OpenPBS pricing →

SkyPilot

No plans published.

SkyPilot pricing →

In their own words

OpenPBS

OpenPBS schedules jobs and manages workloads in high-performance computing environments, including clusters, clouds, and supercomputers. Its policy-driven scheduling balances job turnaround time and system utilization while selecting job placements. The system is designed for millions of cores and has been tested beyond 50,000 nodes. A plugin framework provides administration visibility and supports customized extensions. Health checks monitor faults and can mitigate them automatically; the fail-over architecture is designed to avoid a single point of failure and keep jobs running through failures. OpenPBS is self-hosted and free under the AGPL 3.0 open-source license, while PBS Pro is also dual licensed commercially. Public-sector organizations such as academic and research facilities generally choose the open-source license. Community help comes through a volunteer forum, without a guarantee of answers or bug fixes. OpenPBS is integrated into the OpenHPC software stack. The installation guide states that SELinux is not supported, and critical and high security fixes are delivered in the next major release.

Visit openpbs.org

SkyPilot

SkyPilot is an AI compute platform that manages Kubernetes, Slurm, virtual machines, on-premises systems and cloud resources through one interface. Listed workloads include development, pre-training, post-training and reinforcement learning, batch inference, sandboxes and inference endpoints. Scheduling provides priority queues, GPU sharing, quotas and intelligent placement across workloads. Fleet health checks can run proactively or reactively, with automatic remediation for GPU and NCCL faults. Integrations include AWS, GCP, Azure, Nebius, CoreWeave, Lambda, RunPod, Kubernetes, Slurm and on-premises infrastructure. SkyPilot can run standalone or connect to a remote API server for multi-user collaboration. Enterprise controls include SSO onboarding, RBAC, workspaces, policy enforcement, a unified dashboard, idle-compute stopping and cost reporting. Deployment options include BYOC, BYOK, private VPC and air-gapped environments. The project began as open source at UC Berkeley's Sky Computing Lab and is offered as open source. Documentation says Slurm support remains under active development and SkyServe on Slurm is not supported.

Visit skypilot.ai