Breaking your AI storage bottlenecks
MinIO's co-founders discuss strategies to overcome storage bottlenecks in AI applications. They highlight their collaboration with NVIDIA on the STX reference architecture and the trend towards S3-compatible object storage. The conversation emphasizes the importance of optimizing GPU utilization through improved data management.
- ▪MinIO aims to eliminate storage bottlenecks that hinder GPU performance.
- ▪The company has partnered with NVIDIA to develop the STX reference architecture.
- ▪Modern AI infrastructure is increasingly adopting S3-compatible object storage.
Opening excerpt (first ~120 words) tap to expand
May 22, 2026Breaking your AI storage bottlenecksRecorded at HumanX, Ryan sits down with Garima Kapoor and Anand Babu Periasamy, co-founders and co-CEOs of MinIO, to chat about eliminating the storage bottlenecks that leave GPUs underutilized, their partnership with NVIDIA on the new STX reference architecture, and why modern AI infrastructure is converging on S3-compatible object storage. MinIO delivers exascale performance, unifying enterprise data across edge, core, and cloud environments. Reach out to them at [email protected] with Garima on LinkedIn.Connect with AB on LinkedIn.
Excerpt limited to ~120 words for fair-use compliance. The full article is at Stack Overflow Blog.
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