Cirrascale Cloud Services is a premier cloud services provider of deep learning infrastructure solutions

Cirrascale Cloud Services is proud to partner with Red Hat as a Red Hat Certified Cloud Service Provider. Red Hat® Enterprise Linux® is the world’s leading enterprise Linux platform. It’s an open source operating system (OS) and the foundation from which you can scale existing apps — and roll out emerging technologies — across bare-metal, virtual, container, as well as other cloud environments supported on the Cirrascale Cloud Platform.

The absolute fastest storage offering to remove bottlenecks faced by customers who use inference training datasets consisting of millions of files to improve outcomes and increase accuracy of deep learning models. WekaIO’s Matrix software is a fully parallel and distributed file system that has been designed from scratch to leverage Flash technology. Both data and metadata are distributed across the entire storage infrastructure to ensure massively parallel access to NVMe drives.

PowerAI Vision makes computer vision with deep learning more accessible to business users. PowerAI Vision includes an intuitive toolset that empowers subject matter experts to label, train, and deploy deep learning vision models, without coding or deep learning expertise. It includes the most popular deep learning frameworks and their dependencies, and it is built for easy and rapid deployment and increased team productivity. By combining PowerAI Vision software with accelerated IBM® Power Systems™, enterprises can rapidly deploy a fully optimized and supported platform with blazing performance.

The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Its goal is to make scaling machine learning (ML) models and deploying them to production as simple as possible, by letting Kubernetes do what it’s great at: (1) Easy, repeatable, portable deployments on a diverse infrastructure, (2) Deploying and managing loosely-coupled microservices, (3) Scaling based on demand. Anywhere you are running Kubernetes, you should be able to run Kubeflow.

With DKube from One Convergence, the data scientists do not need extensive IT expertise to find, download, and maintain ML frameworks, CUDA libraries, RDMA tools and various of other tools and libraries. Dkube installs on the Cirrascale Cloud Services platform in less than hour and can onboard a customer's data scientists quickly allowing them to conduct their Tensorflow or PyTorch experiments with ease.

H2O is a fully open source, distributed in-memory ML platform with linear scalability. H2O supports the most widely used statistical and machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. It has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models.