WEKA unveils industry’s first multicloud data platform for AI and next-generation workloads

the fourth The generation platform delivers new Hyperscaler integrations that enable organizations to run previously “impossible” workloads in the cloud of their choice, as well as improved data reduction, a new user interface, and rich data services to simplify data transfer, processing, and management

Campbell, California.And the June 15, 2022 /PRNewswire/- WEKAToday, AI’s data platform, revealed the fourth generation of its unified, software-based platform that delivers a consistent, high-performance, and scalable data management experience across on-premises, edge, hybrid—and now, multicloud—environments for organizations looking to innovate and deliver first results in Market with artificial intelligence (AI), machine learning (ML), and other next-generation workloads.

The WEKA® data platform delivers consistent high performance, powerful data services, and a simplified and seamless data management experience with best-in-class economics for on-premises, hybrid and multicloud environments.

The WEKA® data platform delivers consistent high performance, powerful data services, and a simplified and seamless data management experience with best-in-class economics for on-premises, hybrid and multicloud environments.

The seismic shift to the cloud by organizations looking to embrace digital-first strategies and harness transformative insights and discoveries using artificial intelligence and machine learning, is now accelerating, in large part due to the global disruptions caused by the COVID-19 pandemic and subsequent supply chain constraints.

“More than 90% of global companies are now actively moving to data-centric business models, which necessitate greater flexibility and agility in the way applications are deployed and consumed across their organizations,” Eric Burgner, Vice President of Research, Enterprise Infrastructure at IDC. “To support large-scale analytics workloads, many organizations choose a hybrid cloud environment and may also require access to multiple public clouds. This can present enormous challenges when deploying performance-intensive applications such as artificial intelligence and machine learning, and traditional data infrastructures may also be challenged. To provide the required scale and data movement across distributed environments, resulting in downtime and even failure of AI/machine learning initiatives.”

WEKA helps organizations harness AI and innovate the future by running extremely large, performance-intensive workloads in the cloud — or the cloud — of their choice, as well as cloud and hybrid edge environments. The fourth generation of the WEKA® Data Platform delivers consistent high performance, powerful data services, and a simplified and seamless data management experience with best-in-class economics – no matter where their data and applications are located. The main features and capabilities of the new version include:

  • A unified multicloud data platform for next-generation AI and workloads: WEKA 4 provides native integration with Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Oracle Cloud Infrastructure (OCI) to give organizations a single, unified deployment option that works consistently – regardless of their preferred location. Advanced data replication features enable workloads to be seamlessly extended across edge, on-premises, hybrid and multicloud environments, while advanced security features provide the best malware protection without compromising usability.

  • Class-leading economies: WEKA 4 provides three nested ways for customers to improve their environments in terms of cost, availability, scaling on on-premises and cloud object storage, a new choice of capacity (QLC) or performance-optimized NVMe (TLC) drives, and new file system-wide NVMe drives that can increase effective capacity.

  • Simplicity in Hyperscale:

“The world’s largest companies and research organizations are now doubling down on the use of AI and machine learning at scale to support innovation, discovery, and business breakthroughs,” said Liran Zwebel, co-founder and CEO of WEKA. “Hyperscale public clouds such as AWS, Azure, GCP, and OCI can provide the needed flexibility and economies of scale to fuel these critical transformation and innovation drivers, but the WEKA data platform is key to unlocking this value for AI/ML workloads in hybrid and now multi-cloud environments. WEKA uniquely helps organizations avoid cloud lockouts and operate their businesses with unparalleled economics.”

For more information on the benefits, features, and improvements of the fourth generation of the WEKA data platform, visit https://www.weka.io/multicloud And read the blog: https://www.weka.io/blog/weka4/.

ABOUT WEKA
WEKA delivers the industry’s first multicloud data platform for artificial intelligence (AI), machine learning (ML), and other next-generation workloads. The advanced architecture of the WEKA® Data Platform is optimized to solve complex data management challenges and deliver epic continuous performance at scale across on-premises, edge, hybrid and multicloud environments. WEKA accelerates innovation, research, and discovery for the world’s leading research organizations and institutions – including eight of the Fortune 50 – and helps them achieve first-to-market results with artificial intelligence. WEKA is backed by nine world-class strategic investors, including Hitachi, HPE, and NVIDIA, and operates in more than 20 countries around the world. For more information visit https://weka.io.

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WEKA and the WEKA logo are registered trademarks of WekaIO, Inc. Other trade names used herein may be trademarks of their respective owners.

The fourth generation WEKA® data platform delivers new Hyperscaler integrations that enable organizations to run workloads

The fourth generation WEKA® data platform delivers new Hyperscaler integrations that enable organizations to run previously “impossible” workloads in the cloud of their choice

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