Scale your AI
workloads across clouds

SkyPilot is a system for running, managing, and scaling AI workloads across any infrastructure.

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Trusted by leading AI teams

The Problem

AI compute is powerful,
but is exploding in complexity

Modern AI teams need massive compute — clusters on hyperscalers and new clouds, reserved or spot, powered by Nvidia, AMD, or TPUs. But stitching it all together is an operational nightmare.

MLEs

Using fragmented infra is hard

MLEs

Slowed down by infra learning curves

Introducing SkyPilot

One system to run, manage, and scale AI workloads anywhere

SkyPilot unifies your infrastructure into a single control plane. Launch jobs on K8s, cloud VMs, or reserved hardware. All through one simple, AI-native interface.

Unified system for all AI compute

Feature name

Bring any cluster, any cloud, any Kubernetes–under one interface.

Feature name

From YAML-based job configs to intelligent scheduling with automatic failover, SkyPilot is designed around how AI teams actually work.

Trusted by leading cloud providers

Built for AI

SkyPilot gives AI teams a simple interface to run jobs on any infrastructure — and gives infra teams observability, scheduling, and control across all clusters and clouds.

Development

Spin up instantly. Connect with SSH or IDE of choice.

finetune.sky.yaml

Training

Simplified distributed training with YAML

Batch inference

Run cost-efficient, fault-tolerant workloads.

Bring any framework:

Deploy, bring any framework

Agents, RLHF, or any framework

Scale your AI infra

Easily access massive compute.

Add a new cluster or neocloud in minutes, not days.

Scale with your team.

Ultrices tincidunt libero volutpat arcu. Blandit in gravida cursus felis volutpat.

Use SkyPilot on K8s.

SkyPilot makes Kubernetes simple for AI and infra teams, with Slurm-like ease of use and advanced scheduling.

Built for teams and enterprises

Secure, in your premises

Increase utilization, reduce AI spend

Team-ready

"This is how we imagined the cloud to work: you define an ML job, it will find the cheapest places to run it and then does the work for you."

Tobi Lütke

CEO, Shopify

"This is how we imagined the cloud to work: you define an ML job, it will find the cheapest places to run it and then does the work for you."

Javier Moreno

Principal Engineer, Shopify

Read case study

"Moving from SLURM to SkyPilot was a strong win for us. Having 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

Principal Engineer, Hippocratic AI

"SkyPilot's approach to a unified interface across clouds is the kind of thoughtful abstraction the AI community needs."

Javier Moreno

Principal Engineer, Shopify

“This is how we imagined the cloud to work: you define an ML job, it will find the cheapest places to run it and then does the work for you.”

Tobi Lütke

CEO, Shopify

“Some really cool (programming) tech that I think are underrated right now and that have proven very useful to me this year: SkyPilot!”
Tobi Lütke
CEO, Shopify
“Moving from SLURM to SkyPilot was a strong win for us. Having 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 AI
“SkyPilot is one of the best training orchestrators I’ve used. Easy to setup, light weight to use and configurable in just the right places.”
Sisil Mehta
ML Platform Lead, Abridge
“SkyPilot's approach to a unified interface across clouds is the kind of thoughtful abstraction the AI community needs. ”
Jeremy Howard
Founder, Answer.AI
“Infra behind RFM-1: Our Robotics Foundation Model is trained on several clouds; this gives us more GPUs for high experimentation velocity. ”
Rocky Duan
CTO, Covariant
“SkyPilot has been a great tool for saving costs and scaling easily on neoclouds.
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.”
Hongbo Miao
Senior Staff AI Engineer, Archer Aviation
“Skypilot makes prototyping ML workloads incredibly low friction! I can just throw this header at the top of my script, and it'll run automatically.”
Kyle Corbitt
CEO, OpenPipe
“Awesome package that we use on a daily basis for our NIH BRAIN project. Thx Skypilot team 🙏”
Joe Ecker
Director, Genomic Analysis Lab, Salk Institute
“GenAI workloads demand new tools to handle everything from dev pods to large training runs, often on different clusters and accelerators. SkyPilot is such a tool that gives us not only these AI-native capabilities but also the flexibility of infra choices. Our large-scale model training has all moved to SkyPilot now.”
Junghwan Lim
CTO, Motif Technologies
“Great cloud management framework for AI researchers. SkyPilot makes provisioning and controlling GPU instances across cloud providers simple and cost-efficient, thereby allowing the scientists to focus on core AI work.”
Ljubomir Buturovic
VP Machine Learning, Inflammatix
“SkyPilot has become our go-to platform for AI workloads. Its intelligent scheduler saves us the overhead of manually managing GPU resources.
Our teams are more productive, and our compute costs are substantially lower.”
Srivatsan Sridhar
Head of Data Science, 314e Corporation
“By integrating Nebius with SkyPilot we are able to execute jobs across multiple GPU providers without disrupting internal processes.”
Javier Moreno
Principal Engineer, Shopify

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Community

Open source at the core

SkyPilot was born in open source, built by researchers from UC Berkeley. Join a growing community of developers and researchers shaping the future of AI infrastructure.