
SkyPilot, a San Francisco, CA-based provide of an AI compute platform that helps AI teams manage their AI compute, has raised $20 million in a Seed funding round led by Lux Capital.
SUMMARY
- SkyPilot raised $20 million in a seed funding round led by Lux Capital.
- SkyPilot is an AI infrastructure company that helps organizations manage AI computing and workloads across multiple cloud providers from one platform.
- The funding will support business expansion and speed up the development of its AI compute platform.
The round also saw participation from Amplify Partners, Coatue Management, Foundation Capital, Race Capital, The House Fund, Ali Ghodsi, Jeff Dean, Guillermo Rauch, Amjad Masad, Clem Delangue, and Tristan Handy.
The company will use the funding to expand its operations and accelerate product development.
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Building AI at scale requires more computing power than a single cloud provider can offer. As a result, many AI teams use multiple cloud platforms, Kubernetes clusters, and different types of AI chips. Managing all of these systems has become complicated and can slow AI development.
SkyPilot brings these different computing resources together into one platform. It lets organizations develop, manage, monitor, and scale AI workloads across multiple providers without changing how their applications work. Today, SkyPilot supports hundreds of organizations, and its open-source project has been downloaded more than 14 million times with contributions from over 280 developers.
SkyPilot Platform is a managed AI infrastructure platform that helps organizations run and manage large AI computing environments. Built on the open-source SkyPilot project, it provides tools to manage GPU clusters, organize AI workloads, monitor performance, and control operations from one platform.
After customers connect their AI computing resources, they can use the platform for AI development, model training, inference, reinforcement learning, evaluations, and production deployment across multiple clusters. It also includes GPU health monitoring, automatic issue detection and recovery, high availability, team management, single sign-on, and SOC 2 compliance.
Organizations in AI research, healthcare, financial services, and technology use SkyPilot to manage large AI workloads across multiple cloud and computing environments. Customers include Nubank, Abridge, Applied Compute, H Company, Archer, and Hippocratic AI.
SkyPilot helps these organizations manage all their AI infrastructure from one platform, improve GPU usage, speed up AI deployment, and reduce the complexity of running workloads across different cloud and hardware providers.
"Every organization building custom intelligence is running into the same constraint. The compute they need exists, but it's fragmented across clouds, clusters, and hardware generations," said Brandon Reeves, Partner at Lux Capital. "SkyPilot brings that infrastructure together into a single operating environment, helping customers achieve double-digit improvements in GPU utilization while giving frontier AI teams the foundation to build and scale custom intelligence.
"Every organization is building custom intelligence around its own data and domains," said Zongheng Yang, CEO and co-founder of SkyPilot. "The challenge is that the AI compute needed to build it is fragmented across clouds. SkyPilot gives frontier AI teams a single platform to manage that infrastructure so they can build custom intelligence faster."
About SkyPilot
Founded by Zongheng Yang, Romil Bhardwaj, and Zhanghao Wu, SkyPilot is an AI infrastructure company that helps teams manage AI computing across multiple cloud providers from one platform. Its platform supports AI model training, reinforcement learning, inference and production workloads, making it easier for organizations to run and scale AI applications.
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