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
If you’re building large-scale AI, you’re already multi-cloud by choice (to avoid lock-in) or by necessity (to access scarce GPU capacity). Teams frequently chase capacity bursts, “we need 1,000 GPUs for eight weeks,” across whichever regions or providers can deliver. What slows you down isn’t GPUs, it’s data. Simply accessing the data needed to train, deploy, and serve AI models at the speed and scale required – wherever AI workloads and GPUs are deployed – is in fact not simple at all. In this article, learn how Alluxio brings Simplicity, Speed, and Scale to Multi-GPU Cloud deployments.
Alluxio's strong Q2 featured Enterprise AI 3.7 launch with sub-millisecond latency (45× faster than S3 Standard), 50%+ customer growth including Salesforce and Geely, and MLPerf Storage v2.0 results showing 99%+ GPU utilization, positioning the company as a leader in maximizing AI infrastructure ROI.