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Enterprise Layer Intelligence
Categories/DevOps & CI/CD/YellowDog.ai
YellowDog.ai

YellowDog.ai

Founded 2015

Schedule and provision high-performance compute workloads across multiple cloud providers and on-premise infrastructure

You can use YellowDog to provision and schedule massive compute workloads across multiple cloud providers and on-premise hardware. It coordinates infrastructure across AWS, Azure, Google Cloud, and Oracle, ensuring tasks run on the most cost-effective instances available. The scheduler manages spot instances with preemption handling to avoid job failures while reducing compute costs. It supports high-performance computing, generative AI training, and financial simulations by distributing jobs across millions of vCPUs. You can also integrate it with workflow runners like Nextflow, Airflow, and Ray using developer SDKs.

What YellowDog.ai does

Schedule batch compute jobs across hybrid and multi-cloud environmentsMonitor spot instance interruptions and reallocate tasks automaticallyConnect on-premise servers with public cloud instances into a unified clusterSubmit parallel tasks via Python, Java, or C++ SDKsTrack compute utilization and cost metrics across multiple cloud providersRun Nextflow and Apache Airflow pipelines on dynamic cloud clustersProvision specific GPU or CPU hardware configurations on demandProactive handling of spot instance preemption eventsMulti-cloud workload scheduling across AWS, Azure, Google Cloud, and OracleScales up to millions of virtual CPUs rapidly on demandLow-latency task scheduling executing up to 40,000 tasks per secondHybrid resource management bridging on-premise clusters and public cloudIntegrations with data workflow engines including Ray, Nextflow, and AirflowSDKs and APIs for Python, Java, and C++

Frequently asked

AWSAWSMicrosoft AzureMicrosoft AzureGoogle CloudGoogle CloudOracle CloudOracle Cloud

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YellowDog, Cloud Computing, HPC, GPU orchestration, workload manager, batch computing, spot instances, cloud scheduler, AWS, Azure, Google Cloud, Oracle Cloud, Nextflow, Apache Airflow, Ray, financial simulations, generative AI compute