Accelerate your AI model training and reduce your costs
Connect with all major compute providers simply and easily.
Flexibility
Accelerate your time to market
Access the AI compute you need multi-region, multi-cloud, and up to 90% cheaper through use of Spot instances. We automatically provision across major providers based on your preferences for price, machine type, or carbon footprint. Multi-cloud flexibility eliminates constraints and accelerates ML development for irregular workloads and large datasets.
Increase speed of ML model training by rapidly scaling clusters across Regions
Save up to 90% of costs through intelligent provisioning
Compute availability
Access the best compute for your AI workloads, anywhere in the world
A clear challenge is accessing the right compute for model development. With YellowDog you can find and access whatever you need including GPU, FPGA and AI-specific cores.
Access the right compute for your model anywhere in the world
Work with on-premise, public and hybrid cloud deployments
Access compute from all major providers with optimal provisioning
Scalability
Choose YellowDog for scalability
To demonstrate the power of our platform, we partnered with AWS to rapidly spin-up and then tear down one of the world’s biggest supercomputers in the cloud, and all in under an hour.
Spinning up the first 1 million vCPUs took only seven minutes, showcasing how rapidly we can enable you to scale and accelerate your workloads.
Running a 3.2m vCPU Supercomputer HPC Workload on AWS
