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Tag: containers

HPE Pins AI Hopes on Services

Jun 21, 2019 |

HPE, like all the system vendors, has big plans to sell massive amounts of compute capability to companies to run machine learning and deep learning workloads that help transform their businesses. Read more…

HPE Folds BlueData into AI Offerings

May 7, 2019 |

Hewlett Packard Enterprise is integrating its recently acquired BlueData software with its Apollo infrastructure and other services to offer new AI and analytics capabilities running on hybrid clouds.

HPE, which acquired AI and big data software vendor BlueData last November, said Tuesday (May 7) it is folding those machine learning capabilities into a new service that also runs on “multi-vendor infrastructure.” Among the goals is taking advantage of application portability via containers running on-premises and multi-cloud deployments. Read more…

MapR to Autoscale Spark and Drill Via Prebuilt Kubernetes Containers

Apr 2, 2019 |

MapR Technologies today announced a technology preview of pre-built containers for Kubernetes that will give customers new capabilities for dynamically scaling their containerized Spark and Drill applications based on demand. Read more…

Intel Unveils Nauta, a DL Framework for Containerized Clusters

Jan 23, 2019 |

Intel today unveiled Nauta, a new distributed computing framework for running deep learning models in Kubernetes and Docker-based environments. The chip giant says Nauta will make it easier for data scientists to develop, train, and deploy deep learning workloads on large clusters, “without all the systems overhead and scripting needed with standard container environments.” Read more…

Data Manager Eyes NoSQL in the Cloud

Sep 12, 2018 |

Data management vendors continue to target the growing number of cloud-native NoSQL database applications while shifting their platforms to Docker containers to handle microservices-based apps.

Among them is Rubrik, which this week rolled out the latest version of its data protection platform upgraded to handle cloud-based applications on NoSQL databases, including Cassandra and MongoDB. Read more…

Agile Integration Comes to Microservices

Jul 16, 2018 |

As enterprises shift from the “waterfall” software development model to agile microservices architectures, integrators are offering new frameworks for easing the transition. Among them is WSO2, the open source integration vendor that this week released the latest version of its platform designed to hasten the implementation of microservices used to roll out distributed applications. Read more…

Anaconda: Data Science Exiting Hadoop for the Cloud

Jun 14, 2018 |

Data scientists are embracing cloud-native frameworks as they move on from on-premises data infrastructure previously dominated by Hadoop, concludes a survey on the state of data science.

The shift is driven in part by the enterprise transition from merely managing big data to using machine learning and other connected data tools to glean insights in real time, according to the data science survey released this week by Python platform specialist Anaconda Inc. Read more…

Want Kafka on Kubernetes? Confluent Has It Made

May 3, 2018 |

If the idea of streaming massive amounts of data on a virtual server platform that spans public cloud and on-premise clusters piques your interest, you’re not alone. Many organizations have attempted to wire Apache Kafka to run on the Kubernetes cluster manager, but it’s a challenging technical feat that few have succeeded at. Read more…

Inside MapR’s Support for Kubernetes

Mar 6, 2018 |

MapR today announced that customers can now run and deploy applications on MapR’s big data cluster utilizing the Kubernetes containerization technology. In addition to providing data statefulness, it also gives MapR customers a new way to move workloads from on-prem to cloud platforms. Read more…

One Containerized View of Data Science’s Future

Feb 8, 2018 |

Containers have emerged as legitimate platforms for running data science workloads. But are Docker and Kubernetes here for good, or is it just a passing data science fad? We looked to Anaconda’s SVP of Products and Marketing Mathew Lodge for insights on the matter. Read more…

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