MinIO builds AIStor, an object storage and data platform aimed at AI training, inference and lakehouse analytics. Its stack pairs vector databases (Milvus, Qdrant, Pinecone) and table formats (Iceberg, Hudi, Delta Lake) with NVIDIA, CUDA and Databricks, which it is actively adopting, signaling deep integration with GPU and lakehouse ecosystems. Hiring is senior-heavy and split between engineering and sales, with channel partner revenue a recurring pressure.
Notable leadership hires: Editorial Director, Chief Technology Officer
MinIO, founded in 2014 and headquartered in Redwood City, California, develops data infrastructure for AI and analytics, including its AIStor and MemKV products. The platform spans object and table storage, inference context memory and agentic AI workloads across core, edge and cloud deployments. It sells to enterprises and is pursuing public-sector opportunities, including defense, intelligence community and civilian agencies. The privately held company has 201–500 employees and hires in the United States, Saudi Arabia, South Korea and the United Kingdom.
MinIO works with Go, Python, Kubernetes, OpenShift, Rancher, Apache Spark, Trino, Apache Iceberg, Delta Lake, Milvus, Qdrant, PyTorch, NVIDIA CUDA, Databricks, AWS, GCP and Salesforce.
MinIO is hiring in the United States, Saudi Arabia, South Korea and the United Kingdom, with steady hiring weighted toward senior engineering and sales roles.
Current initiatives include AIStor architecture for AI/ML training and inference, data lakehouse integration, channel partner programs, and proof-of-value engagements for defense, intelligence and civilian agency opportunities.
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MinIO's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
