The volume of data generated worldwide is rapidly increasing, with greater volumes than ever before needing real-time processing. This unprecedented rise has led to an explosion of complex simulation applications, machine learning and AI, driving the generation of compute-intensive workloads.
This previously would have meant more investment in capital infrastructure and the necessary level of expertise. However, the cloud breaks down these barriers and enables companies to use the infrastructure they need, as and when they need it.
Nevertheless, scaling your applications across the cloud can be challenging. Without aligning the computing resource you need with your workload’s fluctuating requirements, you could end up overspending and missing your deadlines.
With the YellowDog Platform, you can benefit from all the cloud has to offer, without any limitations. Our powerful scheduler works seamlessly alongside our intelligent provisioning tools, so you can manage your workloads across different geographical regions, machine shapes and instance lifecycles.
Access unparalleled scale and easily manage computing resources from multiple providers, regions, and machine shapes.
Respond to the specific needs of your workload with computing clusters that are composable and can expand and contract, as required.
Deliver workloads on time and on budget with a solution that is cloud native, fault tolerant and accessible via an easy-to-use User Portal.
The YellowDog Scheduler has been built with the cloud in mind. It is free from the restrictions of traditional legacy tooling and can enable users to scale far beyond existing technologies, across multiple regions, data centres and instance shapes.
It has the ability to utilise Spot instances, where other tools cannot, acting as both a scheduler and meta-scheduler to work with loosely and tightly coupled workloads. It also removes complexity with a single cluster view – with no need to consider multi-data centre/provider configurations.
The addition of YellowDog’s Object Store Service, gives the Scheduler access to a coherent data surface for workloads, regardless of the cloud provider and location.
The YellowDog Index is a free, normalised, global cloud data resource that analyses the vast array of compute provided by the main public cloud providers: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, Oracle Cloud Infrastructure (OCI) and Alibaba Cloud. Using a range of filters, you can select the compute properties you need, and the YellowDog Index will organise the results, so you can easily see and compare the compute that best matches your requirements.Learn More
With a deep understanding of infrastructure and performance, from the leading public cloud providers, YellowDog’s Best Source of Compute algorithms help businesses make smarter decisions about what infrastructure is used to deliver compute-intensive workloads.
Simply set your compute constraints and preferences and allow our intelligent provisioning strategies to automatically select the Best Source of Compute for your workload. The technology pulls data from the YellowDog Index to understand the computing resource that most closely matches your workload’s unique requirements, across a varied list of attributes, so you can manage cost, performance, and environmental impact.
With the Best Source of Compute, you can make more informed choices, which are determined on a workload-by-workload basis, rather than being led by policy constraints or the company’s default settings.
The best bit? This is a layer of insight you can opt to use as you wish. Built into the Platform, the Best Source of Compute is an enhanced feature that puts you firmly in control.
YellowDog executes workloads in the cloud end-to-end. Workload management, resource provisioning, and data capture from the provider’s object store, all occur without ever leaving the YellowDog environment. Key features include:
Coordinate and monitor workload execution across all compute types and automatically manage compute resource levels.
Ensure compliance with provisioning strategies that are influenced by user-defined resource attributes and insight from the YellowDog Index.
Improve performance by automatically selecting the most effective computing resource available for your workload's specific needs.
Manage cloud resources regardless of provider, location, or type through our intuitive User Portal, API or Java and Python SDKs.
Overcome the complexity of multiple providers, regions, and resource types by viewing the cloud through a single management pane.
Lower total cloud costs with more efficient utilisation of your existing
Giles Brown VP, Head of Medicinal Chemistry, OMass
“The professional and timely manner of this collaboration has enabled OMass to rapidly screen a novel target and help the company in its’ ambition to build a pipeline of small molecule therapeutics.”
Jago Westmacott CTO, Fulcrum Asset Management
“YellowDog have transformed how we use our existing hardware and the cloud, making all the behind the scenes workload management invisible.”
Alex Sherwood CEO, Giant Animation
“Having the YellowDog Platform there for us on demand really was priceless.”
Rob Walsh Head of Visualisation, PriestmanGoode
“We know exactly how many machines we get, how many hours we use, and how powerful every machine is. So we have total clarity on our available compute.”
Learn how to use the YellowDog Platform with our library of user videos.
Access useful information about the YellowDog Platform here.
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