How SkyPilot kickstarted the ML infra behind Jam & Tea's AI-native game
SkyPilot helped Jam & Tea Studios move beyond hosted APIs to create 80% cheaper GenAI solutions for their games.
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Trusted by top AI teams
"SkyPilot provides a flexible orchestration layer that adapts to Nubank's infrastructure and operational requirements, rather than constraining us to a rigid platform.
Equally valuable is the strength of the SkyPilot community and the responsiveness of its support. Together, these have made SkyPilot a foundational part of how we run AI workloads at scale."
Abhishek Shivanna, Machine Learning Senior Manager, Nubank
"We originally spent some time investing in our own home-grown GPU scheduling solution, but 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.
Scaling to new GPU clusters now takes minutes instead of weeks, and our researchers launch 1000s of jobs across all our clouds in seconds."
Linden Li, Co-founder, Applied Compute
"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
"We have been using SkyPilot at Unconventional AI to scale very quickly. It has been amazing experience. So much pain removed, quick and easy ways to launch large jobs quickly.
SkyPilot has also been so responsive to us, their platform gets better daily.
Strongly recommend!"
Xavier Gonzalez, AI Researcher, Unconventional 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
"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 AI
"SkyPilot is now our standard AI infrastructure layer, powering all our training and enabling us to scale online RL to 2,000+ GPUs on K8s, previously impossible on Slurm."
Tony Wu, Core Researcher Engineer, H Company
"SkyPilot powers all of our Physical AI workloads — from robotics data processing to research projects — across our entire GPU fleet. With SkyPilot, our researchers move fast without being bogged down by infrastructure."
Philipp Wu, CEO & Co-founder, XDOF
"SkyPilot simplifies job submission to kubernetes, reducing yaml burden for users to contend with. Open source, growing fast in adoption.
We expect the market to consolidate around a few approaches [...] and SkyPilot for those running in multi-cloud scenarios."
SemiAnalysis, AI & Semiconductor Research Firm
"We were fortunate to work with SkyPilot at Eigen AI and were incredibly impressed—not only by how much easier the product made it to run AI workloads across fragmented compute, but also by the technical depth, speed, and customer focus of the team behind it."
Ryan Wang, Co-founder and CEO, Eigen
"As we scaled, we needed to onboard new GPU vendors like Nebius for additional GPU capacity. SkyPilot Platform made it super easy for our AI team to start training foundation models on new infrastructure from day one, with built-in GPU health monitoring, no Kubernetes expertise needed."
Rui Zhang, Head of Core Engineering, HeyGen
"SkyPilot is one of my favorite tools. I've been using it since 2023 both at work and for my side projects."
Isaac Vidas, Machine Learning Engineering and Platform, Shopify
"SkyPilot enables us to accelerate and scale our experimentation by seamlessly managing compute resources across clouds and clusters.
It abstracts away low-level infrastructure operations, such as provisioning and scheduling, allowing researchers to focus on model development and evaluation."
Srijith Rajamohan, Head of AI Research, Redis
"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
"SkyPilot's approach to a unified interface across clouds is the kind of thoughtful abstraction the AI community needs.
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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.
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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."
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
"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."
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
"SkyPilot's flexibility across k8s and neoclouds lets us easily get capacity when we need it - we're hitting 90%+ utilization without any overprovisioning!"
Moin Nadeem, Co-founder & CEO, Phonic
"SkyPilot has enabled our scientists to get up and running quickly, removing the need to wrestle with Kubernetes provisioning, resource tuning, or configuration details.
It makes our complex Kubernetes cluster feel accessible and empowers AI researchers - regardless of their k8s experience - to run scalable workloads with confidence."
Jason Chin, VP, AI Development, Pathos
"We always find ourselves migrating between clouds to find the best deal for our long-running training jobs. SkyPilot has made interoperability across clouds very ergonomic, and our entire team is now scheduling workloads via our centralized SkyPilot deployment.
This has saved us countless hours wrestling with manual config and allows us to focus on the actual ML research. Could not recommend enough!"
Eitan Borgnia, COO, Relace
"SkyPilot stands out because it treats governance and cost visibility as first-class concerns. That combination makes it much easier to run large-scale AI workloads responsibly while keeping operational controls and spend in view."
Jayachander Kandakatla, Senior MLOps Engineer, Ford Credit
"SkyPilot's ease of use and multi-cloud flexibility make it the obvious choice for our AI infrastructure. Our researchers run workloads easily across multiple clouds and on-prem without wrestling with Kubernetes - and when requirements shift, the infra team can pivot cloud vendors in minutes, not months."
Casper Thuis, Technical Lead, Core AI, TKH Group