Kinetica Active Analytics Platform and RAPIDS available on Oracle Cloud infrastructure to boost predictive data analytics performance

Kinetica announced Tuesday that the Kinetica Active Analytics Platform can now run predictive analytics on Oracle Cloud. The Kinetica Active Analytics Platform and Oracle Cloud Infrastructure bring historical data analytics, streaming data analytics, location intelligence, and artificial intelligence together in the cloud, simplifying the typical architecture for smart applications.

As new, highly complex data challenges arise as a result of the growth of the IoT, AI, and the smart device market, businesses across industries can address a variety of issues with the Kinetica Active Analytics Platform paired with RAPIDS, running on Oracle Cloud Infrastructure, from predicting portfolio risk to limiting relevant variables in drug trials, programming inventory management to optimizing telco network capacity. 

Kinetica and RAPIDS on Oracle Cloud Infrastructure deliver active analytics to industries including healthcare, energy, telecommunications, automotive, government, retail, and financial services, among others.

Kinetica and RAPIDS accelerate machine learning-driven predictive analysis by leveraging Oracle Cloud Infrastructure’s GPU instances for model training and inferencing, significantly reducing time to value. The Kinetica Active Analytics Platform now incorporates GPU-accelerated data science libraries using RAPIDS that are available on Oracle Cloud Infrastructure, a set of complementary cloud services to build and run a wide range of applications and services in a highly available hosted environment.

Data scientists can now streamline development and improve accuracy by GPU-accelerating their entire data pipeline with the Kinetica Active Analytics Platform and RAPIDS, incorporating machine learning into active analytical applications. 

Data scientists are able to explore data within Kinetica, launch an environment for model development and training, and automatically deploy the model into the application for production use. On Oracle Cloud Infrastructure, this enables end-to-end GPU-accelerated data science in the cloud, at enterprise scale. With Oracle and Kinetica, organizations can now combine data analysis, location intelligence, and machine learning into their active analytical applications.

“With data emerging as the undisputed most valuable corporate asset, it is essential to offer the full spectrum of corporate tools to deliver relevant, responsive data analysis at scale,” said Irina Farooq, Chief Product Officer, Kinetica. “We are pleased to combine the power of the Kinetica Active Analytics Platform with RAPIDS on Oracle Cloud to enable cloud-ready active analytics at enterprise scale.”

Qumulo boosts HPE Apollo Gen10 lineup, making unified hybrid cloud unstructured data storage and real-time insights possible

Qumulo announced Monday global availability of a new line of fully integrated file storage solutions on the highly performant Hewlett Packard Enterprise (HPE) Apollo 4200 Gen10 servers. The new solution provides enterprise organizations scalable, software-defined file storage with deep data visibility into unstructured data workloads that scale-across on-premise, hybrid and cloud environments.

HPE Apollo Gen10 addresses storage-centric workloads while adapting to future requirements with a superior hardware system architecture that is data-secure by design throughout the product lifecycle. 

HPE’s new technology, called silicon root of trust, allows enterprise organizations to be confident that nowhere in the supply chain were modifications made to hardware platforms. Coupled with FIPS 140-2 encryption-at-rest, the new Gen10-based platforms deliver innovation for secure, enterprise file storage.

The joint solution provides ultra-dense rack-scale file storage, low total cost of ownership (TCO) in a 2U chassis, and configurations optimized for performance, mixed workloads, and active archive. Geographically dispersed environments can leverage continuous replication to move data between data centers and the public cloud.

The file storage market is growing rapidly to process, analyze and store massive unstructured data sets. Analyst firm IDC reports that the scale-out file storage market will become an US$11 billion market by 2022, up nearly two times from previous forecasts.

“Global enterprises are increasingly looking to scalable file storage to address their massive unstructured data processing, analytics and retention demands,” said Amita Potnis, Research Director, Infrastructure Systems, Platforms and Technologies Group at IDC.

“By delivering our scale-across file storage technology as software, Qumulo provides customers an unprecedented level of choice, freedom and flexibility. Our software model enables customers to benefit from the world’s most capable and simple-to-manage file system, while at the same time, taking advantage of the significant advancements from HPE in security and predictive analytics to prevent infrastructure problems before they happen,” said Bill Richter, CEO of Qumulo. “Qumulo’s file storage, delivered on the Apollo Gen 10 platform, offers companies the best of both worlds. I’m delighted that the partnership with HPE delivers on our joint promise of innovation and customer success.”

“The powerful combination of HPE Apollo 4200 Gen10 servers, together with Qumulo’s hybrid cloud file storage, effectively addresses the growing unstructured data needs that enterprises are facing,” said Patrick Osborne, vice president and general manager for big data, analytics and scale-out data platforms at Hewlett Packard Enterprise.. By sharing our vision of the intelligent data platform, we provide the ability to scale and manage billions of files with instant control at lower costs and high performance on-prem, in the cloud, or spanning both, now and into the future.”