Weka Within Certification Program for Server Partners

WekaIO, Inc. added another area of support for its server partner community with the launch of its Weka Within validation and certification program, which provides manufacturers the ability to deliver solutions that help customers accomplish their business goals.

Weka Within Certification Program For Server Partners

It makes it possible for server partners to save time and money by certifying their newest hardware running the Weka File System (WekaFS) with the NVIDIA DGX A100. Using a pre-established testing protocol developed by WekaIO and a pre-configured test system in a test lab, hardware can be validated by experts enabling faster time to market and delivery of reference architectures (RAs) and sales tools that accelerate pipeline and revenue.

“Weka Within is a symbol of guaranteed quality that indicates to customers that hardware will work in data-intense environments as designed and as promised,” said Ken Grohe, president and CRO. “We are pleased to have the opportunity to provide this recognition to our server partners who are looking to deliver the highest performing solutions that customers demand. By successfully completing interoperability and compatibility testing through the Weka Within program, hardware providers can quickly and readily sell products in the marketplace, with customers having the ultimate peace of mind that the integration solution will perform to the highest standards.“

As a program available from a scalable parallel file system provider, Weka Within certification and validation is a designation of interoperability and compatibility, functionality, and performance of hardware that meets company’s standards for next-gen storage systems designed for I/O-intensive workloads. Qualifying solutions through Weka Within helps OEMs drive customer adoption by providing customers peace of mind when deploying modern storage infrastructures complete with WekaFS software.

This later is architected to deliver the low latency and high bandwidth to speed I/O for AI training, ensuring each GPU in the DGX A100 system is saturated with data. WekaFS is for performance-intensive workloads such as AI/ML, deep learning, data analytics, life sciences research, financial modeling, log management, engineering development, and government/university research.

“Enterprises use the NVIDIA DGX A100 to meet the rigors of AI development fueled by ever-increasing datasets and massive computational power,” said Tony Paikeday, senior director DGX Systems, NVIDIA. “With the ‘Weka Within’ validation and certification program, storage OEMs can build WekaIO-based products that meet the performance requirements of the DGX A100, the world’s leading AI system, and shorten their time-to-market.“

Qualified solutions have the opportunity to incorporate the Weka Within logo on their offerings to indicate that their hardware has been stress tested with multiple applications and is ready to provide organizations with the ability to maximize the full value of their high-powered IT investments.

“Western Digital has teamed with WekaIO and NVIDIA to validate the combined power of our new OpenFlex Data24 NVMe-oF Storage Platform with WekaFS and NVIDIA DGX A100 to deliver scalable performance to meet the ever-increasing demands of AI workloads. With the Weka Within certification, our customers are ensured that the OpenFlex Data24 has met rigorous testing standards for performance and interoperability,” added Scott Hamilton, senior director of product management and marketing, Western Digital Corporation.

“The Weka Within certification program helps us deliver an unprecedented customer experience by validating and benchmarking our Penguin Computing ActiveData platform running the Weka File System on NVIDIA DGX A100. With 12 NVMe drives per node, our joint solution is a complete turnkey high-performance file-based storage solution that is highly scalable and easy to deploy, configure, manage, and expand,” added Kevin Tubbs, PhD, SVP strategic solutions group, Penguin Computing, Inc.

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