Alluxio is a proud sponsor and exhibitor at the AWS Summit in New York. If you weren't able to attend, here are the highlights!
What's AWS Summit? It's a one day conference bringing together the cloud computing community to engage on topics ranging from Machine Learning, Hybrid Cloud, Big Data & Analytics, and more.
What we learned
- Enterprises are advancing along the cloud journey, and data access has become a prevalent challenge, because enterprises adopting hybrid cloud are not able to efficiently access data on-premise and in their public cloud.
- Amazon's CTO Werner Vogels talks about AWS Outposts in his keynote. Amazon's investment in Outposts is another indication of the rise of hybrid cloud.
- Cloud applications are heavily weighed towards data driven applications such as analytics and machine learning applications.
Announcements
We were thrilled to have announced the release of Alluxio 2.0 at the Summit! Alluxio 2.0 is the largest release since inception with over 900 PRs as well as many new features to continue building on to our data orchestration approach for the cloud.
Learn more: Orchestrating Data for the Cloud World with Alluxio 2.0 , Download Alluxio
Thanks to everyone for stopping by the Alluxio booth and the great conversations!
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Blog
We are thrilled to announce the general availability of Alluxio Enterprise for Data Analytics 3.2! With data volumes continuing to grow at exponential rates, data platform teams face challenges in maintaining query performance, managing infrastructure costs, and ensuring scalability. This latest version of Alluxio addresses these challenges head-on with groundbreaking improvements in scalability, performance, and cost-efficiency.
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We’re excited to introduce Rapid Alluxio Deployer (RAD) on AWS, which allows you to experience the performance benefits of Alluxio in less than 30 minutes. RAD is designed with a split-plane architecture, which ensures that your data remains secure within your AWS environment, giving you peace of mind while leveraging Alluxio’s capabilities.
PyTorch is one of the most popular deep learning frameworks in production today. As models become increasingly complex and dataset sizes grow, optimizing model training performance becomes crucial to reduce training times and improve productivity.