The New Economics of AI Factory Efficiency

Solidigm, MinIO and Intel put object storage scaling to the test

AI infrastructure is at an inflection point as models grow from billions to trillions of parameters, as inference workload multiply through agentic systems, and as enterprises race to build their own AI factories. What is the one bottleneck that links all of these trends? Storage. Not just storage capacity, but the ability to serve massive datasets at the throughput modern GPU clusters demand without blowing up the data center power budget or floor space in the process.

That’s why Solidigm, MinIO, and Intel partnered to design and benchmark S3-compatible object storage, with a focus on performance and concurrency scaling. This effort leverages Solidigm 122TB QLC NVMe drives, MinIO AIStor software, and Intel® Xeon® 6 processors, showcasing how a tightly integrated stack can deliver the throughput and efficiency required for modern AI workloads at scale.