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Tag: RDMA

HPE Preps for the AI Era with Updated Data Fabric, Storage, and Compute Offerings

Enterprises need a whole lot of data to power their AI applications. That includes structured and unstructured data, block and file data, streaming and static data, and data in the cloud and on the edge. To help keep all Read more…

FlashBlade//EXA Moves Data at 10+ TB/sec, Pure Storage Says

Pure Storage today unveiled FlashBlade//EXA, a new all-flash storage array designed to meet the demanding needs of AI factories and multi-modal AI training. FlashBlade//EXA separates the metadata layer from the data path Read more…

MinIO Pivots to AI with Launch of AIStor

MinIO is one of the most popular open-source S3-compatible object storage systems in the world. Thanks to its combination of performance and simplicity, it’s been adopted to store data for a wide range of applications. Read more…

Peak:AIO Cranks the Storage Throughput for Affordable AI Data Serving

Organizations that want to keep their pricey GPUs fed with data for machine learning training purposes but don’t want to break the bank with a big parallel file system installation may be interested in a fast new NFS-b Read more…

The Future of Storage: Software

In the previous story in this series, we looked at innovations occurring in storage hardware. Now it's time to turn our attention to what's going on in storage software, where innovation continues to push the boundaries Read more…

Does InfiniBand Have a Future on Hadoop?

Hadoop was created to run on cheap commodity computers connected by slow Ethernet networks. But as Hadoop clusters get bigger and organizations press the upper limits of performance, they're finding that specialized gear Read more…

Mellanox Addresses Big Data Acceleration

Mellanox Technologies announced UDA 2.0 this week, which is a network-based and software-driven approach to speeding Hadoop cluster performance. The company claims users can expect two times the performance for data-intensive applications. Read more…

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