Skip to content
SPECIFICTION
Get listed

SkyPilot

skypilot.ai

WebLinuxAPISelf-hosted
Visit skypilot.ai
Spec score 6.9 #16 of 21 in GPU Cluster Management Software

What it is

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.

Spec sheet

Purpose
SkyPilot is an AI compute platform for managing Kubernetes, Slurm, VMs, on-premises systems, and cloud resources through one interface.Read 5 Oct 2026 · skypilot.ai
Product
SkyPilot unifies Kubernetes, Slurm, VMs, and on-premises compute to run AI workloads across the AI lifecycle.Read 4 Oct 2026 · skypilot.ai
Integrations
The site lists Kubernetes, Slurm, AWS, GCP, Azure, Nebius, CoreWeave, Lambda, RunPod, and other cloud and compute providers.Read 4 Oct 2026 · skypilot.ai
Compliance
SkyPilot's Trust Center lists SOC 2 Type II and a 2026 SOC 2 Type II report.Read 5 Oct 2026 · trust.skypilot.ai
Support
The maker invites users to connect with the SkyPilot team and community through Slack.Read 5 Oct 2026 · skypilot.ai
Compute integrations
The maker lists integrations including AWS, GCP, Azure, Nebius, CoreWeave, Lambda, RunPod, Kubernetes, Slurm, and on-premises infrastructure.Read 5 Oct 2026 · skypilot.ai
Cost controls
The maker lists automatic stopping of idle compute, quota management, and cost reporting.Read 5 Oct 2026 · skypilot.ai
Deployment model
The documentation says SkyPilot can run standalone or connect to a remote API server for multi-user collaboration.Read 5 Oct 2026 · docs.skypilot.ai
Enterprise security
The site displays SOC 2 Type II and describes BYOC, BYOK, private VPC, and air-gapped deployment options.Read 4 Oct 2026 · skypilot.ai
GPU health
It provides proactive and reactive fleet health checks with auto-remediation for GPU and NCCL-related faults.Read 4 Oct 2026 · skypilot.ai
Open source
SkyPilot began as an open-source project at UC Berkeley's Sky Computing Lab.Read 5 Oct 2026 · skypilot.ai
Scheduling
SkyPilot offers workload scheduling, GPU monitoring, quotas, priority queueing, GPU sharing, and GPU health checks with auto-remediation.Read 5 Oct 2026 · skypilot.ai
Security deployment
The enterprise offering lists bring-your-own-cloud and bring-your-own-key, private VPCs, and air-gapped deployment.Read 5 Oct 2026 · skypilot.ai
Slurm limitation
The documentation says Slurm support is under active development and SkyServe deployments on Slurm are not yet supported.Read 5 Oct 2026 · docs.skypilot.ai
Target users
The maker positions SkyPilot Platform for frontier AI teams managing large GPU fleets and AI workloads.Read 4 Oct 2026 · skypilot.ai
Team controls
The maker lists SSO onboarding, role-based access control, workspaces, policy enforcement, and a unified compute dashboard.Read 5 Oct 2026 · skypilot.ai
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.Read 4 Oct 2026 · skypilot.ai
Workloads
The platform supports AI development, pre-training, post-training and reinforcement learning, batch inference, sandboxes, and inference endpoints.Read 5 Oct 2026 · skypilot.ai

Strong points and limits

Strong points

  • Priority queues, GPU sharing and quota controls
  • Automatic remediation for GPU and NCCL faults
  • Integrations across major clouds and clusters
  • Enterprise RBAC, SSO and workspaces
  • Open-source version available

Limits

  • Slurm support is under active development
  • SkyServe deployments on Slurm are unsupported
  • Enterprise features target large GPU fleets

Who it suits

It is aimed at AI teams managing large GPU fleets and workloads across cloud, Kubernetes, Slurm, virtual machines and on-premises infrastructure. Enterprise controls target organizations needing governance and private deployment.

Verdict

SkyPilot centralizes heterogeneous compute, scheduling and fleet operations for AI workloads. Slurm users should account for the documented support limitation.

Where Specifiction places it

Alternatives to SkyPilotAll alternatives →