WekaIO Introduces Weka AI to Enable Accelerated Edge to Core to Cloud Data Pipelines
WekaIO™ (Weka), the innovation leader in high-performance and scalable file storage, and an NVIDIA (News - Alert) Partner Network Solution Advisor, today introduced Weka AI™, a transformative storage solution framework underpinned by the Weka File System (WekaFS™) that enables accelerated edge-to-core-to-cloud data pipelines. Weka AI is a framework of customizable reference architectures (RAs) and software development kits (SDKs) with leading technology alliances like NVIDIA, Mellanox (News - Alert), and others in the Weka Innovation Network (WIN)™. Weka AI enables chief data officers, data scientists and data engineers to accelerate genomics, medical imaging, the financial services industry (FSI), and advanced driver-assistance systems (ADAS) deep learning (DL) pipelines. In addition, Weka AI easily scales from entry to large integrated solutions provided through VARs and channel partners.
Artificial Intelligence (AI) data pipelines are inherently different from traditional file-based IO applications. Each stage within AI data pipelines has distinct storage IO requirements: massive bandwidth for ingest and training; mixed read/write handling for extract, transform, load (ETL); ultra-low latency for inference; and a single namespace for entire data pipeline visibility. Furthermore, AI at the edge is driving the need for edge-to-core-to-cloud data pipelines. Hence, the ideal solution must meet all these varied requirements and deliver timely insights at scale. Traditional solutions lack these capabilities and often fall short in meeting performance and shareability across personas and data mobility requirements. Today's industries demand solutions that overcome these limitations for AI data pipelines. The solutions must provide data management that delivers operational agility, governance, and actionable intelligence by breaking silos.
Weka AI is architected to deliver production-ready solutions and accelerate DataOps by solving the storage challenges common with IO-intensive workloads such as AI. It helps accelerate the AI data pipeline, delivering more than 73 GB/sec of bandwidth to a single GPU client. In addition, it delivers operational agility with versioning, explainability, and reproducibility and provides governance and compliance with in-line encryption and data protection. Engineered solutions with partners in the WIN program ensure that Weka AI will provide data collection, workspace and deep neural network (DNN) training, simulation, inference, and lifecycle management for the entire data pipeline.
Kevin Tubbs, Senior Director, Technology and Business Development, Advanced Solutions Group, Penguin Computing
Amrinderpal Singh Oberai, Director, Data & AI, Groupware Technology
Paresh Kharya, Director of Product Management for Acceerated Computing, NVIDIA
Gilad Shainer, Senior Vice President Marketing, Mellanox Technologies
Liran Zvibel, CEO and Co-Founder, WekaIO
Shailesh Manjrekar, Head of AI and Strategic Alliances, WekaIO
Gartner (News - Alert) Accelerate Your Machine Learning and Artificial Intelligence Journey Using These DevOps Best Practices, Nov. 12, 2019, Arun Chandrasekaran, Farhan Choudhary
Amita Potnis, Research Director, Enterprise Infrastructure Practice, IDC (News - Alert)
Weka offers WekaFS, the modern file system that uniquely empowers organizations to solve the newest, biggest problems holding back innovation. Optimized for NVMe and the hybrid cloud, Weka handles the most demanding storage challenges in the most data-intensive technical computing environments, delivering truly epic performance at any scale. Its modern architecture unlocks the full capabilities of today's data center, allowing businesses to maximize the value of their high-powered IT investments. Weka helps industry leaders reach breakthrough innovations and solve previously unsolvable problems.
WekaIO, WekaIO Matrix, WekaFS, Weka AI, Weka Innovation Network, WIN and the WekaIO logo are trademarks of WekaIO, Inc.
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