WEKA for AWS

The fastest most scalable storage solution on AWS.

Use AWS for more of your workloads

Run high performance applications on AWS

Deliver performance for your most demanding applications running in AWS with the world’s fastest cloud native data platform supporting high I/O, low latency, small files, and mixed workloads with zero tuning.

Seamlessly tier data in AWS

Intelligent tiering automatically moves data between high performance flash-based storage on Amazon EC2 instances to low cost, massively scalable object storage in Amazon S3, all in a single namespace for the best performance, scale, and economics.

Scale your data in AWS

Autoscaling enables you to add and remove high performance storage capacity on the fly to meet the needs of your most demanding applications without paying for resources you don’t use.

Move data to AWS

Send snapshots of a filesystem to any Amazon S3 object store for backup and disaster recovery. Full and incremental snapshots include metadata to enable seamless data portability between on-prem and AWS.

Burst data analysis to AWS

Maintain a usable copy of your on-premises data in your AWS environment, where you can use elastic compute resources to run calculations and analyses and gain new insights.

Build agile data pipelines in AWS

Your researchers, data scientists, creative teams, and more can collaborate faster by using a single copy of data optimized to meet the performance needs of every step in your workflow.

How it works

WEKA is deployed on Amazon EC2 I3en instances with local NVMe storage to form a high-performance storage layer. The software extends the namespace to an Amazon S3 bucket for large scale capacity and optimal cost. The entire data set is available to the applications without the need to move or copy data. The namespace can extend from Terabytes to Petabytes. The same data can be accessed by multiple protocols – S3, NFS, SMB, POSIX and NVIDA GPUDirect.

Learn More

Explore WEKA on the AWS marketplace

WEKA is the most performant data platform on the AWS Marketplace, delivering 5x better performance than comparable alternatives at half the cost. Better still, WEKA delivers a true enterprise class product with multi-protocol support and namespace extensibility to S3 without the pain of copying data from one service to another.

AWS Marketplace

Resources

Dive a little deeper

Visit Resource Center

Video

AWS Deployment on WEKA

Solution Brief

High-Performance Computing With WEKA on Amazon Web Services

Podcast

AWS Summit – Leveraging the Cloud to Turn Science-Fiction into Science-FACT

“We can now reach 93% GPU utilization when running our AI model training environment using WEKA on AWS.”

Richard Vencu, MLOps Lead, Stability AI

“With WEKA, we can migrate our entire data set virtually with the push of a button. We continued doing model training across two AWS Regions simultaneously over two weeks while we migrated the compute.”

Alex Balan, Technical Lead, Synthesia

“WEKA is purpose-built for the cloud. It provides an extendable file system that offers the scale and economics of cloud object stores and the speed of SSD.”

Gavin Burris, Senior IT Leader

“I looked at a lot of storage systems in AWS and chose WEKA because of the ability to tier to S3 storage for best cost given the volume of data we are creating.”

Samuel Reid, Head of Technology, Untold Studios

“We needed to replicate our on-premises high performance computing environment in the cloud to be more scalable and more agile. WEKA and AWS enabled us to deliver a highly performant and compatible cloud environment which researchers could tell the difference in operations. By using the WEKA and AWS, we’re able to deliver breakthrough results for our customers faster.”

Arnold De Leon, Operations Manager, 23andMe

“Getting WEKA up and running was so easy, so fast. It just felt so slick. But I wasn’t really expecting what I saw once we ran performance metrics. I’ve never seen anything like it. Without WEKA, my life would be much harder, and my job as a studio technologist would be incredibly difficult.”

Alan McSeveney, Head of Technology, Preymaker

“We are using the WEKA shared file system on AWS instead of Lustre for its stability and stellar support for our geospatial workflows. Using WEKA, demanding analyses that used to take 2-3 months, are completed in less than 2 weeks.”

Alessandro Menegaz, Cloud IT Manager, Tre Altamira

WEKA for AWS

Use AWS for more of your workloads

How it works

Explore WEKA on the AWS marketplace

Dive a little deeper

Try WEKA on AWS