Pavilion HyperOS Integrations

TensorFlow serves as a comprehensive, open-source platform for machine learning, guiding users through every stage from development to deployment. This platform features a diverse and flexible ecosystem that includes a wide array of tools, libraries, and community contributions, which help researchers make significant advancements in machine learning while simplifying the creation and deployment of ML applications for developers. With user-friendly high-level APIs such as Keras and the ability to execute operations eagerly, building and fine-tuning machine learning models becomes a seamless process, promoting rapid iterations and easing debugging efforts. The adaptability of TensorFlow enables users to train and deploy their models effortlessly across different environments, be it in the cloud, on local servers, within web browsers, or directly on hardware devices, irrespective of the programming language in use. Additionally, its clear and flexible architecture is designed to convert innovative concepts into implementable code quickly, paving the way for the swift release of sophisticated models. This robust framework not only fosters experimentation but also significantly accelerates the machine learning workflow, making it an invaluable resource for practitioners in the field. Ultimately, TensorFlow stands out as a vital tool that enhances productivity and innovation in machine learning endeavors.

Amazon Simple Storage Service (Amazon S3) is a highly regarded object storage solution celebrated for its outstanding scalability, data accessibility, security, and performance features. This adaptable service allows organizations of all sizes across a multitude of industries to securely store and protect an extensive amount of data for various applications, such as data lakes, websites, mobile applications, backup and recovery, archiving, enterprise solutions, Internet of Things (IoT) devices, and big data analytics. With intuitive management tools, users can effectively organize their data and implement specific access controls that cater to their distinct business and compliance requirements. Amazon S3 is designed to provide an extraordinary durability rate of 99.999999999% (11 nines), making it a trustworthy option for millions of applications used by businesses worldwide. Customers have the flexibility to scale their storage capacity up or down as needed, which removes the burden of upfront costs or lengthy resource procurement. Moreover, the service’s robust infrastructure accommodates a wide array of data management strategies, which further enhances its attractiveness to organizations in search of dependable and adaptable storage solutions. Ultimately, Amazon S3 stands out not only for its technical capabilities but also for its ability to seamlessly integrate with other Amazon Web Services offerings, creating a comprehensive ecosystem for cloud computing.

IBM Cloud® provides features that significantly boost business agility and resilience, enabling users to find a platform that delivers 2.5 times the value compared to traditional solutions. Designed for a variety of industries, it prioritizes security while offering the flexibility to develop and manage applications in any setting. The platform transforms business workflows by integrating automation and artificial intelligence, streamlining operations effectively. It also boasts a strong ecosystem of technology partners that cater to specific industry needs, drawing on extensive expertise to deliver customized solutions. With automated and auditable processes, it ensures compliance and operational efficiency for its users. Its advanced functionalities guarantee exceptional cloud security and monitoring, enabling a cohesive security and control framework across all applications. Furthermore, the platform’s containerized solutions promote seamless DevOps practices, enhancing automation, data governance, and security measures. Users enjoy a simplified integration process along with a consistent application development lifecycle, which enhances user experience. In addition to these capabilities, IBM Cloud leverages cutting-edge technologies such as IBM Watson®, analytics, the Internet of Things (IoT), and edge computing, which empower businesses to innovate and maintain a competitive edge in their respective markets. With these features, organizations can not only optimize their operations but also adapt swiftly to changing demands and challenges.

Splunk simplifies the transformation of data into actionable insights, offering a secure and reliable service that scales effortlessly. By relying on our Splunk experts to manage your IT backend, you can focus on maximizing the value of your data. The infrastructure provided and managed by Splunk ensures a smooth, cloud-based data analytics experience that can be set up within as little as 48 hours. Regular updates to the software mean you will always have access to the latest features and improvements. In just a few days, with minimal requirements, you can tap into the full potential of your data for actionable insights. Complying with FedRAMP security standards, Splunk Cloud enables U.S. federal agencies and their partners to make informed decisions and take action swiftly. The inclusion of mobile applications and natural language processing features further enhances productivity and provides contextual insights, expanding the reach of your solutions with ease. Whether you are overseeing infrastructure or ensuring compliance with data regulations, Splunk Cloud is built to scale efficiently, delivering powerful solutions tailored to your evolving needs. Ultimately, this agility and effectiveness can markedly improve your organization's operational performance and strategic decision-making capabilities. As a result, embracing Splunk can lead to a significant competitive advantage in today’s data-driven landscape.

Apache Kafka® is a powerful, open-source solution tailored for distributed streaming applications. It supports the expansion of production clusters to include up to a thousand brokers, enabling the management of trillions of messages each day and overseeing petabytes of data spread over hundreds of thousands of partitions. The architecture offers the capability to effortlessly scale storage and processing resources according to demand. Clusters can be extended across multiple availability zones or interconnected across various geographical locations, ensuring resilience and flexibility. Users can manipulate streams of events through diverse operations such as joins, aggregations, filters, and transformations, all while benefiting from event-time and exactly-once processing assurances. Kafka also includes a Connect interface that facilitates seamless integration with a wide array of event sources and sinks, including but not limited to Postgres, JMS, Elasticsearch, and AWS S3. Furthermore, it allows for the reading, writing, and processing of event streams using numerous programming languages, catering to a broad spectrum of development requirements. This adaptability, combined with its scalability, solidifies Kafka's position as a premier choice for organizations aiming to leverage real-time data streams efficiently. With its extensive ecosystem and community support, Kafka continues to evolve, addressing the needs of modern data-driven enterprises.

Flywheel offers an all-encompassing suite of data management tools designed for researchers who aim to enhance both productivity and collaboration in fields such as imaging research, clinical trials, multi-center studies, and machine learning. The platform delivers seamless end-to-end solutions that facilitate data ingestion while ensuring compliance with established standards. Additionally, it automates processing and machine-learning workflows, enabling secure collaboration across various sectors including life sciences, clinical research, academia, and artificial intelligence. With capabilities for cross-platform data and algorithm integration, Flywheel enables secure and compliant data discovery through its extensive global network. It also supports cloud-scalable and on-premise computational workflows tailored for diverse research and clinical needs. As a versatile data curation platform, Flywheel excels in managing a broad array of data types, encompassing digital pathology, imaging files, clinical electronic medical records (EMR), omics data, and various instruments, all while fostering innovation in multi-modality research. This comprehensive approach not only simplifies data handling but also accelerates advancements in scientific discovery.

Greenplum Database® is recognized as a cutting-edge, all-encompassing open-source data warehouse solution. It shines in delivering quick and powerful analytics on data sets that can scale to petabytes. Tailored specifically for big data analytics, the system is powered by a sophisticated cost-based query optimizer that guarantees outstanding performance for analytical queries on large data sets. Operating under the Apache 2 license, we express our heartfelt appreciation to all current contributors and warmly welcome new participants to join our collaborative efforts. In the Greenplum Database community, all contributions are cherished, no matter how small, and we wholeheartedly promote various forms of engagement. This platform acts as an open-source, massively parallel data environment specifically designed for analytics, machine learning, and artificial intelligence initiatives. Users can rapidly create and deploy models aimed at addressing intricate challenges in areas like cybersecurity, predictive maintenance, risk management, and fraud detection, among many others. Explore the possibilities of a fully integrated, feature-rich open-source analytics platform that fosters innovation and drives progress in numerous fields. Additionally, the community thrives on collaboration, ensuring continuous improvement and adaptation to emerging technologies in data analytics.

Teradata has introduced VantageCloud, a comprehensive cloud analytics platform designed to accelerate innovation through data utilization. By integrating artificial intelligence, machine learning, and real-time data processing, VantageCloud enables businesses to transform raw data into actionable insights. The platform supports a wide range of applications, including advanced analytics, business intelligence, and cloud migration, while facilitating seamless deployment across public, hybrid, or on-premise environments. With Teradata’s robust analytical tools, organizations can fully leverage their data, improving operational efficiency and uncovering new growth opportunities across various industries. This versatility positions VantageCloud as an essential resource for businesses aiming to excel in an increasingly data-centric world. As companies continue to navigate the complexities of their respective markets, the dynamic capabilities of VantageCloud will play a crucial role in their success.

Dell EMC Avamar streamlines the process of data backup and recovery through its innovative variable-length deduplication technology. It is tailored for performing swift, daily full backups across diverse settings, which encompass not only physical and virtual systems but also NAS servers, enterprise applications, remote offices, and personal devices. Offered in a virtual edition and integrated into the broader Dell EMC Data Protection Suite, Avamar features a comprehensive selection of data protection software options. Its effectiveness is particularly notable in virtual environments, where it guarantees application-consistent recovery for vital enterprise applications. By leveraging variable-length deduplication, Avamar achieves remarkable performance levels while also lowering costs significantly. Additionally, users benefit from a centralized management interface that is intuitive and robust encryption capabilities that bolster data security. Furthermore, Dell Technologies On Demand provides a wide range of consumption-based and as-a-service solutions that seamlessly adapt to the changing demands of modern on-premises infrastructure and services within today’s on-demand economy. This adaptability not only helps businesses scale their resources efficiently but also empowers them to maintain control over their unique data management strategies, ultimately supporting sustainable growth and innovation.

The Apache Hadoop software library acts as a framework designed for the distributed processing of large-scale data sets across clusters of computers, employing simple programming models. It is capable of scaling from a single server to thousands of machines, each contributing local storage and computation resources. Instead of relying on hardware solutions for high availability, this library is specifically designed to detect and handle failures at the application level, guaranteeing that a reliable service can operate on a cluster that might face interruptions. Many organizations and companies utilize Hadoop in various capacities, including both research and production settings. Users are encouraged to participate in the Hadoop PoweredBy wiki page to highlight their implementations. The most recent version, Apache Hadoop 3.3.4, brings forth several significant enhancements when compared to its predecessor, hadoop-3.2, improving its performance and operational capabilities. This ongoing development of Hadoop demonstrates the increasing demand for effective data processing tools in an era where data drives decision-making and innovation. As organizations continue to adopt Hadoop, it is likely that the community will see even more advancements and features in future releases.

Apache Spark™ is a powerful analytics platform crafted for large-scale data processing endeavors. It excels in both batch and streaming tasks by employing an advanced Directed Acyclic Graph (DAG) scheduler, a highly effective query optimizer, and a streamlined physical execution engine. With more than 80 high-level operators at its disposal, Spark greatly facilitates the creation of parallel applications. Users can engage with the framework through a variety of shells, including Scala, Python, R, and SQL. Spark also boasts a rich ecosystem of libraries—such as SQL and DataFrames, MLlib for machine learning, GraphX for graph analysis, and Spark Streaming for processing real-time data—which can be effortlessly woven together in a single application. This platform's versatility allows it to operate across different environments, including Hadoop, Apache Mesos, Kubernetes, standalone systems, or cloud platforms. Additionally, it can interface with numerous data sources, granting access to information stored in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and many other systems, thereby offering the flexibility to accommodate a wide range of data processing requirements. Such a comprehensive array of functionalities makes Spark a vital resource for both data engineers and analysts, who rely on it for efficient data management and analysis. The combination of its capabilities ensures that users can tackle complex data challenges with greater ease and speed.

Create, implement, manage, connect, and protect all your applications in any cloud setting. VMware's Multi-Cloud solutions offer a comprehensive cloud operating framework designed for diverse application types. Accelerate your digital transformation with the most dependable and widely embraced cloud infrastructure available today. Leverage the same expertise you use in your on-premises data center while tapping into a broad network that includes six leading hyperscale public cloud providers and over 4,000 VMware Cloud Provider Partners. By adopting a hybrid cloud strategy through VMware Cloud Foundation, you can maintain consistent infrastructure and operations for both legacy and new cloud-native applications, from your data center to the cloud, and even to the edge. This consistency not only enhances agility but also reduces complexity, costs, and risks. You have the ability to build, operate, and oversee modern applications across various cloud environments, meeting diverse needs with resources sourced from both on-premises and public cloud infrastructures. Additionally, you can effortlessly manage both containerized and traditional VM-based workloads on a single, unified platform, ensuring both efficiency and flexibility while preparing for future cloud expansion. This integrated approach positions you to adapt to evolving technology landscapes effectively.

StarWind HCA is provided as a fully pre-configured solution, customized to address your unique requirements by skilled StarWind Engineers. The company ensures a smooth transition to its platform without any extra costs, with no hidden fees or licensing complications, as it employs a clear and standardized licensing model. This unique offering sets StarWind apart, as other HCI providers do not provide similar free options. Additionally, each StarWind HCA license includes access to the StarWind Command Center, a robust web interface designed for management and monitoring, enabling users to manage their hardware (networking and storage) alongside their software resources (workloads, virtual machines, and backups) all from a single, easy-to-use HTML5 dashboard. StarWind prioritizes quality by sourcing only top-grade components from trusted hardware manufacturers, thereby eliminating the need for a conventional and cluttered data center environment. Everything necessary is incorporated into this streamlined HCI platform, which simplifies operations and enhances efficiency. As a result, users can concentrate on their primary responsibilities without the burden of intricate technical challenges, making it an ideal choice for organizations looking to optimize their IT infrastructure. This commitment to user-friendly solutions exemplifies StarWind's dedication to innovation in the technology landscape.

GlusterFS is a flexible network filesystem tailored for high-performance applications, such as cloud storage and media streaming services. Being both open source and free, it is designed to work seamlessly with standard hardware. This software serves as a scalable, distributed file system that integrates storage resources from multiple servers into a single global namespace. Organizations can easily adjust their storage capacity, performance, and availability as their needs grow, without being locked into a particular vendor, whether they are utilizing on-premises infrastructure, public cloud environments, or hybrid configurations. A variety of industries, including media, healthcare, government, education, web 2.0, and financial services, have successfully implemented GlusterFS within their production workflows. The system can effectively scale to several petabytes and adeptly handle thousands of clients while maintaining POSIX compliance. It runs on standard commodity hardware and is compatible with any on-disk filesystem that permits extended attributes. Additionally, GlusterFS can be accessed through popular protocols such as NFS and SMB, and it boasts vital features like replication, quotas, geo-replication, snapshots, and bitrot detection, all of which contribute to ensuring data integrity and availability. The combination of its versatility and powerful features positions GlusterFS as an appealing option for organizations striving to enhance their data storage solutions. With its ability to adapt to various technological landscapes, GlusterFS continues to be a valuable asset for businesses looking to innovate in their data management strategies.