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Weka Awarded Three Patents and Achieves ISO 27001 Certification

CAMPBELL, Calif., March 10, 2021

WekaIO assigned patents for “quality of service management in a distributed storage system,” “efficient networking for a distributed storage system,” and “storage system spanning multiple failure domains.”

WekaIO™ (Weka), the fastest-growing data platform for artificial intelligence/machine learning (AI/ML), life sciences research, enterprise technical computing, and high-performance data analytics (HPDA), today announced it has been assigned three patents, with thirty-four more patents pending, (10,929,021) for “Quality of service management in a distributed storage system,” (10,936,405) “Efficient networking for a distributed storage system,” and (10,942,807) “Storage system spanning multiple failure domains,” and has been assessed and complies with the requirements of ISO/IEC 27001:2013 certification.

The abstract of the patent (10,929,021) published by the U.S. Patent and Trademark Office states: One or more computing devices may comprise congestion management circuitry, one or more client file system request buffers, and DESS interface circuitry. The congestion management circuitry is operable to determine an amount of congestion in the DESS. The one or more client file system request buffers is/are operable to queue first client file system requests of a first priority level and second client file system requests of a second priority level, wherein the first priority level is higher priority than the second priority level. The DESS interface circuitry is operable to control a rate at which the first file system requests and second file system requests are fetched from the one or more client file system request buffers based on the amount of congestion in the DESS, on the first priority level, and on the second priority level.

The patent (10,929,021) application was filed on May 19, 2017 (15/599773).

Inventors: Maor Ben Dayan, Omri Palmon, Liran Zvibel, Kanael Arditti, Tomer Filiba

The abstract of the patent (10,936,405) published by the U.S. Patent and Trademark Office states: A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. Data communication is made more efficient by removing the need to copy data in the networking stack, using hardware accelerated end-to-end checksum calculation, and supporting transmission formatting of data and header for special cases.

The patent (10,936,405) application was filed on September 5, 2018 (16/121,942).

Inventors: Maor Ben Dayan, Omri Palmon, Liran Zvibel, Tomer Filiba

The abstract of the patent (10,942,807) published by the U.S. Patent and Trademark Office states: A plurality of failure domains are communicatively coupled to each other via a network, and each of the plurality of failure domains is coupled to one or more storage devices. A failure resilient stripe is distributed across the plurality of storage devices, such that two or more blocks of the failure resilient stripe are located in each failure domain.
The patent (10,942,807) application was filed on February 14, 2019 (16/275,737).
Inventors: Maor Ben Dayan, Omri Palmon, Liran Zvibel, Kanael Arditti

To read the patent abstracts and full detail go to: https://patents.justia.com/inventor/omri-palmon

For more information on the Weka leadership team, go to: https://www.weka.io/company/about-us

About WEKA
WEKA is the AI data and memory infrastructure company transforming the economics of agentic AI. Its WEKA® NeuralMesh™ platform unifies high-performance data storage with extended GPU memory, giving enterprises, AI cloud providers, and AI builders a single foundation for training, inference, and agentic workloads. With Augmented Memory Grid™, NeuralMesh extends GPU memory capacity by 1000x, accelerates time to first token by up to 20x, and delivers 10x more concurrent users from the same GPU footprint, proven in production benchmarks. Trusted by 30% of the Fortune 50, WEKA enables organizations to scale AI faster, optimize GPU utilization, and reduce the cost of every token served. Learn more at www.weka.io or connect with us on LinkedIn and X.

WEKA and the WEKA logo are registered trademarks, and WEKA NeuralMesh and Augmented Memory Grid are trademarks of WekaIO, Inc. Other trademarks mentioned herein are the property of their respective owners.

Media Contact:
WEKA Communications
pr@weka.io

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