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WEKA Unveils Industry’s First Multicloud Data Platform for AI  and Next Generation Workloads

WEKA, the Data Platform for AI company, unveiled the fourth  generation of its software-based solution that delivers first to market results with artificial intelligence (AI),  machine learning (ML) and other next generation workloads via a single, scalable, highly performant platform for hybrid cloud and edge environments – now available in any public clouds of their choosing.  

A seismic shift to the cloud by organizations looking to embrace digital first strategies and harness  transformational insights and discoveries using AI and ML is now accelerating, due in large part to the global disruptions wrought by the COVID-19 pandemic and subsequent supply chain constraints. 

WEKA is helping organizations to harness AI and innovate the future by running these impossibly large,  performance-intensive workloads in the cloud – or clouds – of their choosing, as well as hybrid cloud and  edge environments. The fourth generation WEKA® Data Platform provides a single, unified product that  offers consistent high performance and robust data services that deliver a seamless, simplified data  management experience with best-in-class economics – regardless of where their data and applications are  located. Key features and capabilities introduced in the latest release include:  

  • A Unified Multicloud Data Platform for AI and Next-Gen Workloads: WEKA 4 provides native  integration with Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and  Oracle Cloud Infrastructure (OCI) to give organizations a single, unified deployment option that  performs consistently across edge, core and multicloud environments – regardless of their preferred location.  
  • Class-leading Economics: WEKA 4 provides three overlapping ways for customers to optimize their  environments for cost, availability, scale – tiering to local and cloud object storage, new choice of  capacity (QLC) or performance-optimized (TLC) NVMe drives, and new, filesystem-wide data reduction that can increase effective capacity.  
  • Simplicity at Hyperscale: (i) Fully Redesigned User Interface: improves ease of use, streamlines repeated operations, simplifies day-to-day tasks, and supplies the foundation for management in multi-tenant  environments to help organizations better manage their data at scale; (ii) New Software Packages and Pricing Options: four new software packages to simplify the  buying experience and optimized to support the major use cases our customers face, with  the option of subscription or consumption-based pricing. 

“The world’s largest corporations and research organizations are now doubling down on using AI and ML  at scale to support innovation, discovery, and business breakthroughs,” said Liran Zvibel, cofounder and  chief executive officer at WEKA. “Hyperscale public clouds like AWS, Azure, GCP and OCI can provide the requisite agility and economies of scale needed to fuel these critical transformation and innovation  engines – but WEKA is the key to unlocking that value for AI/ML workloads in hybrid and now multi cloud environments, uniquely helping enterprises to avoid cloud lock-in and run their businesses with  unparalleled economics.” 

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