22 Jul WekaIO Named “Hot Vendor in AI” by Leading Analyst Firm
Vendors are evaluated based on completeness of strategy and performance
CAMPBELL, Calif.–(BUSINESS WIRE)–WekaIO™ (Weka), the innovation leader in high-performance, scalable file storage for data-intensive applications, today announced it has been included in the “Hot Vendors in Artificial Intelligence, 2020” report by Aragon Research, Inc.
Weka empowers companies to solve the most difficult IT infrastructure problems so that they can extract maximum value from their data and expedite time-to-market. WekaFS™, the world’s fastest parallel file system and Weka’s flagship product, maximizes CPU and GPU performance and ROI by eliminating I/O bottlenecks to accelerate the data-intensive applications commonly found in artificial intelligence (AI) and machine learning (ML). It is a POSIX file system that delivers high I/O bandwidth to data-hungry GPUs to keep them fully utilized and scales performance linearly as the GPU server farm grows.
Weka AI™, a transformative storage solution framework underpinned by WekaFS, accelerates edge-to-core-to-cloud data pipelines. Weka AI enables chief data officers, data scientists, and data engineers to accelerate genomics, medical imaging, applications in the financial services industry (FSI), and advanced driver assistance systems (ADAS) deep learning (DL) pipelines. Weka AI is architected to democratize AI by delivering production-ready solutions and accelerate DataOps by solving the storage challenges commonly presented by I/O-intensive workloads such as AI. In addition, it provides operational agility with versioning, explainability, and reproducibility and provides governance and compliance with in-line encryption and data protection.
“We believe that our inclusion in the Hot Vendor report by Aragon Research confirms our continued innovation and success,” said Shailesh Manjrekar, head of AI and strategic alliances at WekaIO. “As AI use cases are moving from computer vision to multi-modal and conversational AI, Deep Neural Networks are becoming more complex, with several billion hyper parameters and there is a growing need for parallelism and scalability from storage solutions. Weka AI effectively meets these requirements while democratizing the use of AI. Weka AI storage solutions allows line-of-business users as well as IT leaders to implement AI 2.0 and cognitive computing workflows that scale, accelerate, and derive actionable business insights.”
For the full Aragon Research report “Hot Vendors in Artificial Intelligence, 2020” by Jim Lundy, go to: https://aragonresearch.com/hot-vendors-in-artificial-intelligence-2020/
Accelerated DataOps with Weka AIEdge to Core to Cloud Pipelines Blog – Part 1, Part 2, and Part 3
WekaFS How it Works
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.
Follow WekaIO: Twitter, LinkedIn, and Facebook
WekaIO, WekaIO Matrix, WekaFS, Weka AI, Weka Innovation Network, Weka AI logo, WIN logo, and the WekaIO logo are trademarks of WekaIO, Inc.
Aragon Research does not endorse vendors, or their products or services that are referenced in its research publications, and does not advise users to select those vendors that are rated the highest. Aragon Research publications consist of the opinions of Aragon Research and Advisory Services organization and should not be construed as statements of fact. Aragon Research provides its research publications and the information contained in them “AS IS,” without warranty of any kind.
Sorry, the comment form is closed at this time.