Hands-on training to deploy and operate MinIO AIStor, the industry-leading S3-compatible object store built for AI and analytics at scale. Learn how to design, manage, and scale object storage across modern data and AI workloads.
Explore featured role-based learning paths designed to build practical MinIO skills, from foundational training to advanced certification readiness. MinIO Academy also includes individual courses, guided video instruction, hands-on labs, and on-demand resources.
Learning paths combine expert-led courses, hands-on labs, real-world scenarios, and knowledge assessments that prepare learners for real-world success. Complete eligible programs to earn shareable digital badges that recognize verified achievement.
Unlock the full catalog, hands-on labs, and certification pathways with an annual Learning Subscription.
MinIO Academy focuses on how AIStor is used in real-world environments. Learn how to deploy and operate object storage as the foundation for modern data platforms, including lakehouse architectures and AI pipelines.
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Role-Based
Learning paths for developers and enterprise administrators
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Validate Your AIStor Expertise
Earn a MinIO digital badge to demonstrate your ability to deploy and operate AIStor in real-world environments. Share your credential to show expertise in object storage, data infrastructure, and AI workloads.
Hands-on training webinars covering real-world operations with MinIO AIStor—from capacity expansion and natural language management to seamless data lake migration with Apache Iceberg.
Breaking the GPU Memory Wall for AI Inference Presenters: Daniel Valdivia, Engineer - MinIO | Raj Grewal, Strategic AI Advisor - MinIO | Patrick Riel, Technical Marketing Engineer - NVIDIA | Adit Ranadive, Sr. Software Architect - NVIDIA
As AI models continue to grow in size and context windows expand, GPU memory has become a critical limitation for achieving fast, efficient inference. When context memory capacity is exceeded, organizations experience increased latency, context recomputation, reduced throughput, and inefficient GPU utilization.
Join MinIO for a technical discussion on how MinIO MemKV addresses the growing challenge of inference context memory, with participation from NVIDIA on the underlying infrastructure demands of AI inference.
Learn how MemKV provides a distributed, high-performance context memory layer that extends GPU memory capacity using RDMA-connected, memory-mapped NVMe storage.
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