Your AI infrastructure, frontier velocity
One platform for all your AI compute – Kubernetes, Slurm, 20+ clouds
“SkyPilot provides a flexible orchestration layer that adapts to Nubank's infrastructure and operational requirements, rather than constraining us to a rigid platform.”Abhishek Shivanna, Machine Learning Senior Manager, NubankRead testimonial“How Meta FAIR uses SkyPilot to manage AI workloads across their 100k+ GPU Slurm fleet.”Watch tech talk“Shopify's engineering team uses SkyPilot to execute AI jobs across multiple GPU providers without disrupting internal processes.”Read story“SkyPilot gave us all of those features and more out of the box — gang scheduling, multi-node jobs, SSH access — in a unified interface across all our clouds.”Linden Li, Co-founder, Applied ComputeRead testimonial“H Company adopted SkyPilot as its standard AI infrastructure layer, scaling online RL to 2,000+ GPUs on Kubernetes — previously impossible on Slurm.”Read story“Abridge moved from SLURM to a scalable multi-cloud AI infra with SkyPilot, unlocking 10x faster development cycles.”Read story“Moving from SLURM to SkyPilot was a strong win for us. A unified next-gen platform to manage all our clusters means we can scale GPUs exactly when we need them without lock-in.”Debajyoti Datta, Co-founder, Hippocratic AIRead testimonial
AI Compute Platform
Turn your fragmented compute into frontier intelligence
SkyPilot is the AI Compute Platform: Bring all AI compute (Kubernetes, Slurm, VMs, on-prem), and run the entire AI lifecycle — with frontier-level velocity.
One platform, frontier velocity
Manage any AI compute
Manage any cluster, any cloud, any Kubernetes, or Slurm—under one interface.
Capabilities for frontier AI teams
From CLI to intelligent scheduler, GPU monitoring, or quotas, SkyPilot equips your infra with frontier velocity.
Trusted by leading cloud providers
Kubernetes
Slurm
AWS
GCP
Azure
Nebius
CoreWeave
LambdaKubernetesSlurmAWSGCPAzureNebiusCoreWeaveLambda
Together AI
OCI
Paperspace
Vast
Fluidstack
Cudo
RunPod
IBM
SCP
vSphere
Cloudflare
Prime Intellect
SeewebFast-moving AI teams, faster
SkyPilot gives AI teams a simple interface to run the entire AI lifecycle, so everyone moves faster.
Development
Spin up instantly. Connect with SSH or IDE. Or run agent fleets.
Pre-training
Scale to thousands of nodes, auto-swap when GPUs fail.
Post-training & RL
Co-schedule RL components on heterogeneous hardware.
Batch inference
Run cost-efficient, fault-tolerant batch workloads.
Sandboxes
Sub-second sandboxes for agents and RL, on your infra.
Endpoints
Production-ready inference, on every cluster you own.
Supercharge your AI infra
Infra teams seamlessly orchestrate all clusters (or clouds). With the ability to run on any compute, you future-proof your AI infra.
Easily add GPUs, maximize utilization
Add a new cluster/neocloud in minutes. SkyPilot pools all your compute providers to reduce fragmentation.
Scalable control plane
Onboard new users, teams, or workloads with ease. SkyPilot's control plane scales with you.
AI abstractions for Kubernetes
SkyPilot makes K8s AI-native: Multi-cluster support, topology-aware scheduling, quota, and preemption.
Multi-cloud GPU infrastructure
When needed, scale to new providers with confidence.
Standardizing providers
Onboard all your providers with common operations — validation, benchmarks, observability. Same for management.
SkyPilot Multi-Cluster
With native multi-cluster support, bring all GPU clusters into a single platform to drive higher utilization.
Priority queueing, GPU sharing, quotas
Maximize fleet utilization by intelligently scheduling workloads with different priorities and shapes (batch, train, inference).
GPU healthchecks
Proactive and reactive health checks across the fleet, with auto-remediation of GPU and NCCL-related faults.
Enterprise ready
Secure, on your premises
Increase utilization, control AI spend
Auto stop idle compute
Advanced quota management
Cost management and reporting
Team controls
Fast onboarding with SSO
Unified dashboard for all your compute
Policy enforcement, RBAC, Workspaces
What used to require weeks of custom setup now takes minutes, giving us seamless access to better GPU availability and pricing beyond just the hyperscalers.”
Our teams are more productive, and our compute costs are substantially lower.”
