SkyPilot
- Company typePrivate
- Founded2024
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
SkyPilot firmographics
Firmographics- Name
- SkyPilot
- Legal name
- SkyPilot
- Website
- https://docs.skypilot.co
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
SkyPilot industry classification
Industry- Product category
- AI Infrastructure Orchestration
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers) (HDAAAAAG)
- akta.pro secondary industries
- Virtualization & Hyperconverged Infrastructure (HCI) Management (HDABABAB), Model Deployment, Serving & Inference Platforms (HDAAABAF)
Keywords
Where SkyPilot is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
SkyPilot business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Operations
Revenue model
- Open Source Platform: SkyPilot is an open-source project released by UC Berkeley. The core platform is freely available for download and use. Revenue is not generated directly from the open-source software.
- Managed Services Partnerships: Cloud providers like Nebius AI Cloud offer managed SkyPilot API server solutions targeting small to mid-size ML teams. SkyPilot benefits through increased adoption and ecosystem growth rather than direct revenue.
Go-to-market motion2 records
Distribution channels4 records
Marketing channels6 records
SkyPilot product offering
Product offeringCore offering
SkyPilot is an open-source AI workload management platform that provides a single unified interface to launch, manage, and scale GPU/TPU/CPU jobs across Kubernetes, Slurm, and 20+ cloud providers. It includes a CLI and Python SDK, a SkyPilot API Server for team deployments, SkyServe for autoscaling model serving, SkyPilot Endpoints for managed inference, and an Agent Skills framework that lets AI agents autonomously run GPU workloads across clouds. The core software is free and open-source; managed-service variants are offered through cloud partners such as Nebius AI Cloud.
Product overview
SkyPilot is an open-source AI workload management platform from the University of Berkeley that provides a unified control plane for running, managing, and scaling AI compute on any infrastructure. The product portfolio includes the core SkyPilot platform accessible via CLI and Python SDK, the API Server for team deployments, SkyServe for model serving with autoscaling, Managed Jobs for workload orchestration, and Agent Skills for autonomous AI agent GPU job execution. SkyPilot supports GPU, TPU, and CPU workloads across Kubernetes, Slurm clusters, and 20+ cloud providers including AWS, GCP, Azure, CoreWeave, Nebius, and Lambda Cloud.
Differentiator
Problem solved
Functional benefit
Brands
- SkyServe: Model serving component of SkyPilot for deploying and scaling AI models with autoscaling and high availability features.
Products and services
- SkyPilot (Core Open-Source Platform) Open-source AI workload management platform that provides a unified control plane to run, manage, and scale GPU, TPU, and CPU workloads across Kubernetes, Slurm clusters, and 20+ cloud providers (AWS, GCP, Azure, OCI, CoreWeave, Nebius, Lambda, RunPod, Fluidstack, Digital Ocean, Paperspace, Cloudflare, IBM, Vast.ai, Seeweb, Crusoe, and others). Distributed as a free open-source project via GitHub and PyPI for AI/ML engineering teams.
- SkyServe Model serving platform for deploying and scaling AI models with autoscaling, HTTPS encryption, a high-availability controller, and spot instance support. Powers SkyPilot Endpoints with vLLM, SGLang, Nvidia Dynamo, Ollama, Hugging Face TGI, LoRAX, and Cog inference backends.
- SkyPilot Endpoints Managed inference endpoint service powered by SkyServe that provides scalable, production-grade model serving for AI applications with autoscaling and high availability.
- Managed SkyPilot API Server (on Nebius AI Cloud) Fully managed SkyPilot API server offered on Nebius AI Cloud that automates deployment and operation of SkyPilot API servers for team collaboration, operational excellence, and high availability. Targets small to mid-size ML teams needing a centrally managed AI compute control plane.
- Agent Skills Framework Framework that enables AI agents to autonomously launch GPU jobs across multiple cloud providers and manage AI workloads. Includes Parallel Autoresearch for multi-experiment workflows and Autonomous Code Optimization for automated code improvement.
Quantifiable outcome
- 19 lines of SkyPilot YAML vs 65 lines of vanilla Kubernetes YAML for serving Gemma with vLLM
Companies that use SkyPilot
Customer profileSegments3 records
Ideal customer profiles2 records
SkyPilot technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration9 records
AI capability12 records
Feature6 records
SkyPilot partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core.
- SeewebcoreSeeweb, an Italian cloud provider, has integrated with SkyPilot and joined the SkyPilot network. This partnership enables European developers to manage AI servers at scale using Seeweb's GDPR-compliant infrastructure and next-generation GPUs, enhancing AI deployment efficiency.
- Nebius AI CloudcoreNebius AI Cloud launched a managed SkyPilot API server - a fully managed solution that automates deployment and operation of SkyPilot API servers. The service offers increased productivity, collaboration, operational excellence, and high availability, targeting small to mid-size ML teams.
Scale indicators2 records
Recent moves6 records
Expansion highlights5 records
SkyPilot competitors and assessment
Company assessmentDirect peers
- Kueue: Kubernetes-native job queueing system, part of the K8s SIGs. Competes with SkyPilot's Managed Jobs/queueing capabilities for cluster resource management, particularly for ML/batch workloads on shared clusters.
- Ray: Distributed computing framework (Anyscale) on which SkyPilot itself is built. Competes at the orchestration layer for AI training and serving workloads; SkyPilot actually uses Ray under the hood for cluster management.
- Modal: Serverless cloud platform for AI/ML workloads with strong developer experience. Competes for inference and batch compute workloads on GPUs with abstracting cloud infrastructure complexity.
- Run:ai: GPU orchestration and scheduling platform acquired by NVIDIA. Direct competitor focused on AI workload scheduling and GPU sharing optimization within Kubernetes environments.
- Determined AI: AI/ML training platform providing distributed training orchestration with smart scheduling on Kubernetes. Competes with SkyPilot's training and hyperparameter tuning capabilities.
- Volcano: Open-source batch scheduling system for Kubernetes, originally from Huawei/CNCF. Direct competitor for high-performance computing and AI workload scheduling on K8s clusters, though narrower in scope than SkyPilot's multi-cloud ambitions.
Emerging players
- BentoML: Open-source framework for ML model serving and deployment. Overlaps with SkyServe for inference serving use cases with autoscaling and multi-cloud deployment.
- Replicate: Cloud platform for running ML models via API. Overlaps with SkyServe/SkyPilot Endpoints for model serving use cases, particularly for production inference deployments.
- Anyscale: Commercial provider of Ray (the framework SkyPilot is built on). Offers managed Ray clusters and AI workload orchestration; represents both a layer below and an alternative orchestration platform.
Broad incumbents
- CoreWeave: Major GPU cloud provider with its own Kubernetes-native orchestration (previously included Run:ai functionality). Both an integration partner and a potential competitor offering end-to-end managed AI infrastructure.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights5 records
Customer concentration
SkyPilot social profiles
Digital presenceSkyPilot financial estimates
Financial estimateRevenue estimate
Valuation estimate
SkyPilot leadership team
Management profileNumber of profiles
SkyPilot funding detail
Funding detailFunding overview
Funding rounds2 records
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
SkyPilot M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about SkyPilot
What does SkyPilot do?
SkyPilot is an open-source AI workload management platform that provides a single unified interface to launch, manage, and scale GPU/TPU/CPU jobs across Kubernetes, Slurm, and 20+ cloud providers. It includes a CLI and Python SDK, a SkyPilot API Server for team deployments, SkyServe for autoscaling model serving, SkyPilot Endpoints for managed inference, and an Agent Skills framework that lets AI agents autonomously run GPU workloads across clouds. The core software is free and open-source; managed-service variants are offered through cloud partners such as Nebius AI Cloud.
Is SkyPilot a public or private company?
SkyPilot is a private company. It is classified as unknown and is currently operating.
When was SkyPilot founded?
SkyPilot was founded in 2024. It employs 11 to 50 people.
Where is SkyPilot based?
SkyPilot is headquartered in San Francisco, United States, in the North America region.
How does SkyPilot make money?
Two revenue lines are on record. Open Source Platform is the primary driver. The others are managed Services Partnerships.
Who are SkyPilot's main competitors?
Direct peers on record are Kueue, Ray, Modal, Run:ai, Determined AI and Volcano. Emerging players are BentoML, Replicate and Anyscale. CoreWeave is listed as a broad incumbent.
Does SkyPilot have an API?
Yes. SkyPilot offers a Python SDK for programmatically managing AI compute. The SDK provides asynchronous methods for launching clusters, managing jobs, and controlling cluster lifecycles. Key SDK methods include sky.launch() for launching clusters or tasks, sky.jobs.launch() for managed jobs, sky.queue() for job queue management, sky.status() for cluster status, and sky.endpoints() for retrieving service endpoints. The API uses gRPC internally with protobuf definitions for serialization, and supports client-server architecture with backward compatibility between adjacent minor versions. Developer documentation is at docs.skypilot.co/en/stable/reference/api.html.
What industry is SkyPilot in?
SkyPilot's product category is AI Infrastructure Orchestration. Its primary akta.pro industry code is HDAAAAAG, AI Compute Virtualization & Scheduling (GPU virtualization, cluster schedulers), with a secondary code of HDABABAB, Virtualization & Hyperconverged Infrastructure (HCI) Management. Its NAICS code is 51821 and its SIC code is 7372.