AI infrastructure · Tool

SkyPilot

Researched

SkyPilot is an AI infrastructure platform that unifies fragmented compute across Kubernetes, Slurm, VMs, and 20+ clouds into a single interface. Backed by a $20M seed round and 14M+ downloads, it offers CLI tooling, intelligent scheduling, GPU monitoring, quotas, and enterprise security.

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Official site snapshots

See the official site at a glance

Read-only public captures of SkyPilot’s homepage. Screenshots are dated, never live embeds, and open full-screen.

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Homepage · captured Jul 24, 2026
At a glance

In one minute

Start here for the decision-making essentials: what SkyPilot does, who it is for, how it is accessed, and the first-party sources behind this profile.

PricingCurrent signal

See official pricing

Platforms
SkyPilot PlatformAWS, GCP, AzureH100 GPUsH200 GPUs
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseSkyPilot offers an open source edition alongside a commercial Platform

Best suited to

Source-backed fit
Fast-moving AI teams running the entire AI lifecycle Organizations aggregating compute across neoclouds, hyperscalers,… Teams managing large-scale GPU fleets Enterprises requiring SOC 2 Type II, SSO, and RBAC for AI workloads Targets fast-moving AI teams running the entire AI lifecycle AI teams, described as "the world's most ambitious AI teams" and…
Decision support

Common questions and adoption checks

6 sourced answers

Short answers to the questions buyers and builders commonly ask about SkyPilot. Each answer cites the shared ledger below, where every source is listed once.

01What does SkyPilot say it can do?

Provides a CLI, intelligent scheduler, GPU monitoring, and quotas for AI infrastructure · Supports gang scheduling, multi-node jobs, and SSH access through a unified interface acro · Provides websites, cloud services, and other online products and services · AI compute platform that turns fragmented compute across providers into a single AI superc

From CLI to intelligent scheduler, GPU monitoring, or quotas, SkyPilot equips your infra with frontier velocity.
02Who is SkyPilot intended for?

Targets fast-moving AI teams running the entire AI lifecycle · AI teams, described as "the world's most ambitious AI teams" and "fast-moving AI teams" · Lean ML/infrastructure teams needing low operational complexity · Frontier AI teams

Fast-moving AI teams, faster SkyPilot gives AI teams a simple interface to run the entire AI lifecycle
03What use cases does SkyPilot describe?

Used by Meta FAIR to manage AI workloads across a 100k+ GPU Slurm fleet · Adopted by H Company as a standard AI infrastructure layer to scale online RL to 2,000+ GP · Abridge moved from SLURM to a multi-cloud AI infrastructure with SkyPilot, unlocking 10x f · Managing AI compute and frontier workloads across neoclouds, hyperscalers, Kubernetes, Slu

How Meta FAIR uses SkyPilot to manage AI workloads across their 100k+ GPU Slurm fleet.
04What integrations does SkyPilot document?

Cloud infrastructure providers can be connected to the Services · Identity providers via single sign-on (SSO) · Kubernetes clusters and specialized AI clouds (neoclouds) · Claude Code

Cloud infrastructure providers you connect to the Services.
05How can SkyPilot be deployed or accessed?

Supports Kubernetes, Slurm, VMs, and on-prem compute under one interface · Cloud-based services · Unifies multiple clouds (neoclouds and hyperscalers), Kubernetes, and Slurm environments i · Automatic upgrades with zero-downtime upgrades

Bring all AI compute (Kubernetes, Slurm, VMs, on-prem), and run the entire AI lifecycle
06What security or data-control information does SkyPilot publish?

Payment processing handled by third-party processors; full credit card numbers are not sto · Detects, prevents, and responds to security incidents, fraud, and abuse · Enterprise SSO via SAML and OIDC · Role-based access control with workspace-level control

Payment processing is handled by third-party processors; we do not store full credit card numbers.
Decision guide

Capabilities and operating fit

AI infrastructure

This profile connects the jobs SkyPilot is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.

Common use cases

  • Managing AI workloads across a 100k+ GPU Slurm fleet (Meta FAIR)
  • Scaling online RL to 2,000+ GPUs on Kubernetes (H Company)
  • Migrating from SLURM to multi-cloud AI infrastructure for 10x faster development cycles
  • Unifying multi-accelerator, multi-cloud compute into a single pool
  • Running gang scheduling, multi-node jobs, and SSH across clouds
  • Used by Meta FAIR to manage AI workloads across a 100k+ GPU Slurm fleet

Access signals

Pricing model
See official pricing
API
Not publicly listed
Source links
8 recorded
Source-backed

Verified facts

Updated July 24, 2026

Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.

Official website

HTTP 200 verified twice

First-party description

SkyPilot | The AI Compute Platform

Source-supported facts

SkyPilot announced a $20M seed funding round for the SkyPilot Platform · SkyPilot offers an open source edition alongside a commercial Platform · One platform for AI compute spanning Kubernetes, Slurm, and 20+ clouds

Company

SkyPilot announced a $20M seed funding round for the SkyPilot Platform

Open source

SkyPilot offers an open source edition alongside a commercial Platform

Platform

One platform for AI compute spanning Kubernetes, Slurm, and 20+ clouds

Deployment

Supports Kubernetes, Slurm, VMs, and on-prem compute under one interface

Capability

Provides a CLI, intelligent scheduler, GPU monitoring, and quotas for AI infrastructure

View 32 more verified facts
Capability

Supports gang scheduling, multi-node jobs, and SSH access through a unified interface across clouds

Use case

Used by Meta FAIR to manage AI workloads across a 100k+ GPU Slurm fleet

Use case

Adopted by H Company as a standard AI infrastructure layer to scale online RL to 2,000+ GPUs on Kubernetes

Use case

Abridge moved from SLURM to a multi-cloud AI infrastructure with SkyPilot, unlocking 10x faster development cycles

Audience

Targets fast-moving AI teams running the entire AI lifecycle

Company

Assemble Platforms, Inc.

[5]skypilot.ai/privacy-policy
Capability

Provides websites, cloud services, and other online products and services

[5]skypilot.ai/privacy-policy
Deployment

Cloud-based services

[5]skypilot.ai/privacy-policy
Platform

SkyPilot Platform

[5]skypilot.ai/privacy-policy
Open source

Yes (offered alongside SkyPilot Platform)

[5]skypilot.ai/privacy-policy
Integration

Cloud infrastructure providers can be connected to the Services

[5]skypilot.ai/privacy-policy
Integration

Identity providers via single sign-on (SSO)

[5]skypilot.ai/privacy-policy
Security

Payment processing handled by third-party processors; full credit card numbers are not stored

[5]skypilot.ai/privacy-policy
Security

Detects, prevents, and responds to security incidents, fraud, and abuse

[5]skypilot.ai/privacy-policy
Capability

AI compute platform that turns fragmented compute across providers into a single AI supercomputer

[3]skypilot.ai/about
Origin

Started as an open-source project at UC Berkeley's Sky Computing Lab

[3]skypilot.ai/about
Open source

Yes, open source (with a commercial Platform offering)

[3]skypilot.ai/about
Platform

SkyPilot Platform

[3]skypilot.ai/about
Audience

AI teams, described as "the world's most ambitious AI teams" and "fast-moving AI teams"

[3]skypilot.ai/about
Use case

Managing AI compute and frontier workloads across neoclouds, hyperscalers, Kubernetes, Slurm, VMs, and multiple accelerator generations

[3]skypilot.ai/about
Deployment

Unifies multiple clouds (neoclouds and hyperscalers), Kubernetes, and Slurm environments into a single compute pool

[3]skypilot.ai/about
Distribution

14M+ downloads

[3]skypilot.ai/about
Support

100s of AI orgs run on SkyPilot with 10K+ GPUs at top organizations

[3]skypilot.ai/about
Company

SkyPilot (founded by Zongheng Yang – CEO, Zhanghao Wu – CTO, Romil Bhardwaj – CPO, Ion Stoica – Board Chairman, Scott Shenker)

[3]skypilot.ai/about
Best for

AI teams needing to aggregate fragmented compute (cloud, Kubernetes, Slurm, VMs) across many providers and accelerator types

[3]skypilot.ai/about
Application type

AI infrastructure platform (compute orchestration)

[3]skypilot.ai/about
Capability

Automatic GPU failure detection that cordons nodes, reschedules workloads, and files tickets with the cloud provider

[4]skypilot.ai/platform
Capability

Per-team GPU quota assignment with automatic reallocation of idle GPUs to teams that need them

[4]skypilot.ai/platform
Capability

Cost visibility and budget enforcement per team, project, and job

[4]skypilot.ai/platform
Capability

1-click dev environments with persistent SSH, VS Code, and Jupyter workspaces and on-demand GPU attachment without losing state

[4]skypilot.ai/platform
Security

Enterprise SSO via SAML and OIDC

[4]skypilot.ai/platform
Security

Role-based access control with workspace-level control

[4]skypilot.ai/platform
Practical capabilities

What it helps with

8 documented areas

A concise view of the jobs, capabilities and integrations described in the recorded product sources.

Use case

Managing AI workloads across a 100k+ GPU Slurm fleet (Meta FAIR)

Use case

Scaling online RL to 2,000+ GPUs on Kubernetes (H Company)

Use case

Migrating from SLURM to multi-cloud AI infrastructure for 10x faster development cycles

Use case

Unifying multi-accelerator, multi-cloud compute into a single pool

Use case

Running gang scheduling, multi-node jobs, and SSH across clouds

Use case

Used by Meta FAIR to manage AI workloads across a 100k+ GPU Slurm fleet

Use case

Adopted by H Company as a standard AI infrastructure layer to scale online RL to 2,000+ GP

Use case

Abridge moved from SLURM to a multi-cloud AI infrastructure with SkyPilot, unlocking 10x f

Availability

Where it runs and where to get it

Source checked

Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.

Cost / license

See official pricingSkyPilot offers an open source edition alongside a commercial PlatformYes (offered alongside SkyPilot Platform)Yes, open source (with a commercial Platform offering)SkyPilot offers an open source edition alongside a commercial Platform · Yes (offered alongside SkyPilot Platform) · Yes, open source (with a commercial Platform offering)

Application types

AI infrastructure platform (compute orchestration)AI infrastructureAI infrastructure orchestration platform

Origin

Started as an open-source project at UC Berkeley's Sky Computing Lab

Platforms

One platform for AI compute spanning Kubernetes, Slurm, and 20+ cloudsSkyPilot PlatformMulti-cloud, spanning hyperscalers and neo cloudsAWS, GCP, AzureH100 GPUsH200 GPUs

App stores and other links

Implementation details

Adoption notes

DeploymentSupports Kubernetes, Slurm, VMs, and on-prem compute under one interface · Cloud-based services · Unifies multiple clouds (neoclouds and hyperscalers), Kubernetes, and Slurm environments i · Automatic upgrades with zero-downtime upgrades
LicenseSkyPilot offers an open source edition alongside a commercial Platform · Yes (offered alongside SkyPilot Platform) · Yes, open source (with a commercial Platform offering)
Model supportNot disclosed by source
Data controlPayment processing handled by third-party processors; full credit card numbers are not sto · Detects, prevents, and responds to security incidents, fraud, and abuse · Enterprise SSO via SAML and OIDC · Role-based access control with workspace-level control
Learning curveIntermediate
Primary use casesManaging AI workloads across a 100k+ GPU Slurm fleet (Meta FAIR), Scaling online RL to 2,000+ GPUs on Kubernetes (H Company), Migrating from SLURM to multi-cloud AI infrastructure for 10x faster development cycles, Unifying multi-accelerator, multi-cloud compute into a single pool, Running gang scheduling, multi-node jobs, and SSH across clouds, Used by Meta FAIR to manage AI workloads across a 100k+ GPU Slurm fleet, Adopted by H Company as a standard AI infrastructure layer to scale online RL to 2,000+ GP, Abridge moved from SLURM to a multi-cloud AI infrastructure with SkyPilot, unlocking 10x f, Managing AI compute and frontier workloads across neoclouds, hyperscalers, Kubernetes, Slu, Distributed training of dozens of model variants across multiple cloud providers, Securing and orchestrating GPU capacity across multiple clouds, Building custom intelligence (agents, apps, models) by unifying fragmented AI compute, Scaling autonomous AI research via autoresearch-style coding-agent workflows

What to verify before adopting

    Evolution and major updates

    SkyPilot timeline

    A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.

    3 dated updates
    Latest first · exact dates

    Showing the newest updates and meaningful milestones. Open an entry for its summary and source.

    Citation ledger

    Recorded sources

    8 unique pages

    Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.

    1. 1skypilot.ai 15 facts · 4 answers · Official site
    2. 2skypilot.ai/blog/skypilot-the-company 12 facts · 3 answers · 3 milestones · Official site
    3. 3skypilot.ai/about 12 facts · 4 answers · Official site
    4. 4skypilot.ai/platform 12 facts · 3 answers · Official site
    5. 5skypilot.ai/privacy-policy 9 facts · 4 answers · Security
    6. 6skypilot.ai/case-studies/abridge 10 facts · 2 answers · Official site
    7. 7skypilot.ai/blog/scaling-autoresearch 9 facts · 1 answer · Official site
    8. 8skypilot.ai/blog 7 facts · Official site
    Research status84 substantive facts · 8 source pages · quality score 95/100