MinIO Enhances AIStor with NVIDIA Integrations

Mar 17, 2025
MinIO has announced new integrations for its AIStor platform to support the NVIDIA AI ecosystem, enhancing AI storage capabilities at a multi-exabyte scale.

MinIO has announced new integrations for its AIStor platform to support the NVIDIA AI ecosystem, enhancing AI storage capabilities at a multi-exabyte scale. Announced in a press release, these advancements were unveiled at NVIDIA GTC and include support for NVIDIA GPUDirect Storage (GDS), native integration with NVIDIA BlueField-3, and incorporation of NVIDIA NIM microservices.

The integration with NVIDIA GPUDirect Storage allows AIStor to bypass the traditional data path through the CPU, significantly increasing CPU efficiency and reducing infrastructure costs. This is achieved by establishing a direct data path between MinIO AIStor and NVIDIA GPU memory, optimizing AI data processing.

Additionally, AIStor's native integration with NVIDIA BlueField-3 networking platform reduces the Total Cost of Ownership (TCO) for object storage while maintaining high performance. This integration allows AIStor to run natively on NVIDIA's BlueField-3 Data Processing Unit (DPU), eliminating the need for separate x64 CPUs.

Furthermore, the incorporation of NVIDIA NIM microservices into AIStor simplifies the deployment and management of inference infrastructure, enabling faster inference via model optimizations for NVIDIA hardware. These features are currently available to beta customers under private preview, with a full release aligned with NVIDIA's general availability calendar.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

Free newsletter

AI Programming Weekly

Weekly news about AI tools for software engineers, AI enabled IDE's and much more.

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.