# Weka’s Massively Scalable Parallel File System Achieves AWS Outposts Ready Designation **Published:** September 15, 2020 **Location:** CAMPBELL, Calif. ![WEKA logo with abstract white shapes on a textured purple to orange gradient background](https://cdn.sanity.io/images/ult5g8gw/production/4061da3e03532447a685d4d60928329ecf6bfba7-1200x675.png) > WekaFS earns AWS Outposts Ready status, bringing high-performance, scalable storage to on-premises and cloud workloads for a seamless hybrid AWS experience. _WekaFS extends [hybrid cloud storage](https://www.weka.io/learn/hybrid-cloud-storage/) deployment capabilities for the enterprise wishing to leverage AWS services on-premises._ [WekaIO](http://www.weka.io)™ (Weka), an Advanced Technology Partner in the Amazon Web Services (AWS) Partner Network (APN) and an innovation leader in high-performance, scalable file storage for data-intensive applications, announced today that it has achieved the AWS Outposts Ready designation, part of the AWS Service Ready Program. This designation recognizes that the Weka File system (WekaFS™), a fast and scalable parallel file system for high-performance workloads, has demonstrated successful integration with AWS Outposts deployments. AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid cloud experience. Achieving the AWS Outposts Ready designation differentiates Weka as an APN member with a product fully tested on AWS Outposts. AWS Outposts Ready products are generally available and supported for AWS customers, with clear deployment documentation for AWS Outposts. AWS Service Ready Partners have demonstrated success building products integrated with AWS services, helping AWS customers evaluate and use their technology productively, at scale and varying levels of complexity. “Customers are looking for better ways to store and manage their data across the enterprise as part of a comprehensive digitization initiative,” said Joshua Burgin, General Manager, AWS Outposts, Amazon Web Services, Inc. “With WekaIO WekaFS for AWS Outposts, customers can benefit from high performance and a comprehensive data management solution for any application in their environment, on AWS Outposts, or in AWS Regions, for a truly consistent hybrid experience.” AWS Outposts is ideal for workloads that require low latency access to on-premises systems, local data processing, or local data storage. Weka supports all the leading industry use cases with AWS Outposts such as artificial intelligence/machine learning (AI/ML), healthcare, telecommunications, media and entertainment, financial services, retail, and manufacturing automation. “WekaFS was born on AWS, we deliver a no-compromise single infrastructure that delivers on the full promise of the cloud—highest performance with lowest latency, agility, cost-efficiency, ease-of-management and unlimited capacity scaling,” said Liran Zvibel, CEO and co-founder at WekaIO. “As an AWS Outposts Ready Partner, we are able to help AWS customers overcome the challenges of achieving fast application performance and data management at any scale and achieve their desired outcomes regardless of the implementation they pursue—edge to core or cloud. Weka is one of the early APN Technology Partners to participate in the launch of the AWS Outposts Ready program and the solution is available today.” To support the seamless integration and deployment of AWS Outposts ready solutions, AWS established the [AWS](https://aws.amazon.com/partners/competencies/) Outposts Ready Program to help customers identify products integrated with AWS Outposts. Customers can spend less time evaluating new tools, and more time scaling their use of products that are integrated with AWS Outposts deployments. WekaFS is available in AWS Marketplace. To get started go to: [https://start.weka.io/](https://start.weka.io/) Additional resources: - Blog: [Hybrid Cloud Data Pipelines with WekaFS on AWS Outposts – a match made in heaven](https://www.weka.io/blog/hybrid-cloud-with-weka-on-aws/) - [Weka AWS Overview](https://www.weka.io/parallel-file-system/public-cloud/aws/) - [Weka for AI Workloads on AWS](https://www.weka.io/resources/datasheets/weka-for-aws) - [Kx Qualifies Weka to Run With Its kdb+ Database in AWS EC2](https://www.weka.io/press-releases/matrix-qualified-kx-aws-ec2/) - [5 Reasons Why the WekaIO File System is Ideal for AWS](https://www.weka.io/resources/solution-briefs/top-5-reasons-wekaio-aws) - [How to Install a Weka Cluster on AWS](https://youtu.be/zsHQno2UEgo) - [Weka and Destiny SAS Analytics solution](https://www.weka.io/press-releases/weka-storage-reduces-wall-clock-time-for-sas-analytics/) - [WekaIO and Valohai Deep Learning Pipeline Management Solution](https://www.weka.io/press-releases/weka-furthers-weka-ai-by-integrating-with-deep-learning-pipeline-management-solution-from-valohai/) ## About WEKA **About WEKA** WEKA is the AI data and memory infrastructure company transforming the economics of agentic AI. Its 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](https://www.weka.io/) or connect with us on [LinkedIn](https://www.linkedin.com/company/weka-io/) and [X](https://x.com/weka). _WEKA and the W logo are registered trademarks of WekaIO, Inc. Other trade names herein may be trademarks of their respective owners._ **Media Contact:** WEKA Communications [pr@weka.io](mailto:pr@weka.io) ## More Press Releases - [Backblaze and WEKA Simplify Data Management Across the AI Lifecycle](/news/backblaze-and-weka-simplify-data-management-across-the-ai-lifecycle) - [WEKA and Andromeda Partner to Power AI Workloads at Global Scale](/news/weka-and-andromeda-partner-to-power-ai-workloads-at-global-scale) - [WEKA Unveils WEKApod 3: The World's Densest AI Storage and Memory System for Agentic Workloads](/news/wekapod-3-densest-ai-storage-memory-system) - [WEKA Debuts NeuralMesh 6 to Power Enterprise and Agentic AI Workloads at Production Scale](/news/neuralmesh-6-enterprise-agentic-ai)