Published 2 days ago • loading... • Updated 2 days ago

DDN unveils Infinia 2.0 object storage for faster AI data pipelines – Blocks and Files

Summary by Blocks and Files

DDN has announced the Infinia 2.0 object store for AI training and inference, making big claims for up to 100x improvement in AI data acceleration and 10x gain in datacenter and cloud cost efficiency. Infinia is a object storage system designed from the ground up with a key-value-based foundation. We have recently written about Infinia’s […]

This story is only covered by news sources that have yet to be evaluated by the independent media monitoring agencies we use to assess the quality and reliability of news outlets on our platform. Learn more here.

2 Articles

All

Left

Center

Right

aiwire.net

AI Workloads Have a Storage Problem. Can DDN's Infinia 2.0 Solve It?

AI’s insatiable demand for data has exposed a growing problem: storage infrastructure isn’t keeping up. From training foundation models to running real-time inference, AI workloads require high-throughput, low-latency access to vast amounts of data spread across cloud, edge, and on-prem environments. Traditional storage systems have often struggled under the weight of these demands, creating bottlenecks that can drastically delay innovation in t…

2 days ago

Read Full Article