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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.
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We are excited to announce Alluxio Enterprise Edition (AEE) 1.6.0 and Alluxio Community Edition (ACE) 1.6.0 releases. The AEE release brings a new embedded journal as well as enhancements in the areas of Security and Fast Durable Write. In addition, both the AEE and the ACE releases bring new clients support (Amazon S3 API and Python Client), major usability improvements as well as enhanced integrations with the ecosystem.
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Open source Alluxio 1.5.0 has been released with a large number of new features and improvements. Alluxio allows any application to access data from any storage system transparently and at memory speed. Interoperability with other technologies in the ecosystem is an important step for enabling this, and in the 1.5.0 release, we have improved the accessibility of Alluxio in several key ways.
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We are excited to announce Alluxio Enterprise Edition (AEE) 1.5.0 and Alluxio Community Edition (ACE) 1.5.0 releases. The AEE release brings enhancements in the areas of security, multi-tenancy as well as working with multiple under-stores. In addition, both the AEE and the ACE releases bring major usability and performance improvements as well as enhanced integrations with the ecosystem.
Today, we’re excited to announce our partnership with Mesosphere to enable fast on-demand analytics with Alluxio via Mesosphere’s DC/OS in one-click. This partnership is a natural extension of the synergy between Alluxio and DC/OS. Alluxio, the world's first system that unifies data at memory speed, allows enterprises to manage and analyze data stored across disparate storage systems on premise and in the cloud at memory speed. Mesosphere brings enterprises the power of cloud native technologies, with the control to run on any infrastructure - datacenter or cloud.
Alluxio 1.4.0 has been released with a large number of new features and improvements. This blog highlights some stand out aspects of the Alluxio 1.4.0 open source release: Improved Alluxio Under Storage API, Native File System REST Interface, Packet Streaming
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Deep learning algorithms have traditionally been used in specific applications, most notably, computer vision, machine translation, text mining, and fraud detection. Deep learning truly shines when the model is big and trained on large-scale datasets. Meanwhile, distributed computing platforms like Spark are designed to handle big data and have been used extensively. Therefore, by having deep learning available on Spark, the application of deep learning is much broader, and now businesses can fully take advantage of deep learning capabilities using their existing Spark infrastructure.
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Our mission at Alluxio is to unify data at memory speed. Today we’re excited to unveil our first products which enable organizations to turn data into value with unprecedented ease, flexibility, and speed. We believe our new products will substantially advance Alluxio for both the community and our enterprise customers. In this blog, I will share with you the big data challenges application developers and business line owners face today, and show how Alluxio addresses these challenges.
This is an excerpt from the Accelerating Data Analytics on Ceph Object Storage with Alluxio whitepaper. As the volume of data collected by enterprises has grown, there is a continual need to find efficient storage solutions. Owing to its simplicity, scalability and cost-efficiency object storage, including Ceph, has increasingly become a popular alternative to traditional file systems. In most cases the object storage system, on-premise or in the cloud, is decoupled from compute nodes where analytics is run. There are several benefits of this separation.
Alluxio is the world's first memory-speed virtual distributed storage system that bridges applications and underlying storage systems, providing unified data access orders of magnitudes faster than existing solutions. The Hadoop Distributed File System (HDFS) is a distributed file system for storing large volumes of data. HDFS popularized the paradigm of bringing computation to data and the co-located compute and storage architecture. In this blog, we highlight two key benefits Alluxio brings to a compute cluster co-located with HDFS.