
Minio
Founded Year
2014Stage
Series B | AliveTotal Raised
$126.3MValuation
$0000Last Raised
$103M | 3 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-7 points in the past 30 days
About Minio
MinIO specializes in Kubernetes-native object storage with a focus on AI/ML data infrastructure. The company offers a software-defined, S3-compatible object storage system that is designed to run on any cloud or on-premises infrastructure. MinIO's main offerings include scalable object storage solutions with enterprise features such as inline erasure coding, bit-rot detection, encryption, and active-active replication, catering to a variety of use cases including AI/ML, analytics, backup, and archival workloads. It was founded in 2014 and is based in Redwood City, California.
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Minio's Products & Differentiators
MinIO
multi-cloud object storage
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Expert Collections containing Minio
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Minio is included in 2 Expert Collections, including Unicorns- Billion Dollar Startups.
Unicorns- Billion Dollar Startups
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Conference Exhibitors
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Minio Patents
Minio has filed 1 patent.

Application Date | Grant Date | Title | Related Topics | Status |
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11/14/2014 | Social networking services, Home computer magazines, Message transfer agents, Usability, Home computers | Application |
Application Date | 11/14/2014 |
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Title | |
Related Topics | Social networking services, Home computer magazines, Message transfer agents, Usability, Home computers |
Status | Application |
Latest Minio News
Mar 18, 2025
MinIO Deepens Support for the NVIDIA AI Ecosystem March 18, 2025 New MinIO AIStor integrations leverage NVIDIA’s emerging infrastructure technologies and capabilities to rapidly deliver unparalleled innovation in AI storage at the multi-exabyte scale To further support the demands of modern AI workloads, MinIO, the leader in AI data storage for the exascale data era, today at NVIDIA GTC unveiled three crucial, upcoming advancements to MinIO AIStor that deepen its support for the NVIDIA AI ecosystem. The new integrations will help users maximize the utilization and efficiency of their AI infrastructures while streamlining their management, freeing up personnel for more strategic AI activities. The new MinIO AIStor features include: Support for NVIDIA GPUDirect Storage (GDS) for object storage: Delivers significant increase in CPU efficiency on the NVIDIA GPU server by avoiding the traditional data path through the CPU, freeing up compute for additional AI data processing while reducing infrastructure costs via support for Ethernet networking fabrics. Native integration with NVIDIA BlueField-3 networking platform: Drives down object storage Total Cost of Ownership (TCO) while ensuring industry-leading performance, optimizing data-driven and AI workloads at petabyte to exabyte scale for modern enterprise environments. Incorporation of NVIDIA NIM microservices into AIStor promptObject inference: Brings simplified deployment and management of inference infrastructure while also enabling AIStor’s new S3 API promptObject, which allows users to “talk” to unstructured objects in the same way one would engage an LLM, to deliver faster inference via model optimizations for NVIDIA hardware. “MinIO’s strong alignment with NVIDIA allows us to rapidly innovate AI storage at multi-exabyte scale, leveraging their latest infrastructure,” said AB Periasamy, co-founder and co-CEO, MinIO. “This approach delivers high-performance object storage on commodity hardware, enabling enterprises to future-proof their AI, maximize GPU utilization, and lower costs.” Maximizing the Utilization and Efficiency of AI Compute Infrastructure (GPUs and CPUs) NVIDIA GPUDirect Storage (GDS) initially required InfiniBand, which necessitates specialized hardware. NVIDIA has extended the benefits of GDS and InfiniBand to Ethernet networks. This innovation provides flexibility, scalability, and cost efficiency, making it an ideal solution for accelerated AI adoption at scale for Enterprises. Renowned for its high performance, MinIO AIStor already fully utilizes the available per-node network bandwidth to feed data-hungry GPUs. MinIO AIStor’s GDS for object storage implementation leverages Ethernet fabrics by establishing a direct data path between MinIO AIStor and NVIDIA GPU memory. This drastically improves overall GPU server efficiency, increasing resources for additional AI-related compute. MinIO AIStor and NVIDIA GDS deliver a more efficient, adaptable solution for scaling AI infrastructure, and create a streamlined, ultra-fast pipeline that turns data lakes into high-speed AI/ML training environments. This integration with NVIDIA GDS for object storage reduces the burden on NVIDIA GPU server CPUs by establishing a direct data path between object storage and GPU memory. This drastically improves overall GPU server efficiency, increasing resources for additional AI-related compute. MinIO AIStor and NVIDIA GDS deliver a more efficient, adaptable solution for scaling AI infrastructure, and create a streamlined, ultra-fast pipeline that turns data lakes into high-speed AI/ML training environments. “We are excited to see MinIO bring AIStor to the NVIDIA AI ecosystem and to explore how AIStor and GPUDirect Storage together perform under the specific demands of our workloads,” said Alex Timofeyev, Director, High Performance Compute Engineering and Operations, Recursion. “Our work requires high scalability, throughput, and efficiency in handling AI workloads. Based on preliminary testing, we believe that MinIO AIStor will increase efficiency in the CPU’s on our AI compute infrastructure, ultimately enhancing the performance and economics in our data environment.” Additionally, MinIO AIStor becomes the first and only object storage software to run natively on NVIDIA’s BlueField-3 Data Processing Unit (DPU), made possible by AIStor’s remarkably compact ~100MB footprint. This ultra-efficient, low-cost architecture completely eliminates the need for separate x64 CPUs, transforming what were already commodity storage servers into MinIO and NIC-powered JBOFs (Just a Bunch of Flash). MinIO AIStor leverages Arm’s Scalable Vector Extension (SVE) instruction set to deliver MinIO’s industry-leading object storage performance and inline data management features directly from NVIDIA BlueField-3 DPUs. This integration allows MinIO to be Spectrum-X ready, ensuring seamless integration with NVIDIA’s next-generation networking stack for AI and high-performance workloads. It also means customers will get seamless integration with GPUDirect Storage for object storage, optimizing GPU server efficiency by minimizing data movement overhead. Maximizing Inference Performance and Streamlining Infrastructure Management MinIO AIStor simplifies AI-powered interactions with stored objects through the incorporation of AIStore promptObject into NVIDIA NIM microservices inference infrastructure. NIM provides pre-built Docker containers and Helm charts, and GPU Operator, which automates the deployment and management of drivers and the rest of the inference stack on the NVIDIA GPU server. MinIO AIStor, leveraging NVIDIA NIM microservices, accelerates time to value and frees personnel from manual data pipeline and infrastructure building, enabling them to concentrate on strategic AI initiatives. In addition, NVIDIA NIM model optimizations for NVIDIA hardware deliver accelerated promptObject inference results. These new features and integrations are open to beta customers under private preview. MinIO AIStor support for NVIDIA GDS and native integration with NVIDIA BlueField-3 networking platform will be released in alignment with NVIDIA’s GA calendar. PR Newswire PR Newswire empowers communicators to identify and engage with key influencers, craft and distribute meaningful stories, and measure the financial impact of their efforts. Cision is a leading global provider of earned media software and services to public relations and marketing communications professionals. previous post
Minio Frequently Asked Questions (FAQ)
When was Minio founded?
Minio was founded in 2014.
Where is Minio's headquarters?
Minio's headquarters is located at 275 Shoreline Drive, Suite 100, Redwood City.
What is Minio's latest funding round?
Minio's latest funding round is Series B.
How much did Minio raise?
Minio raised a total of $126.3M.
Who are the investors of Minio?
Investors of Minio include Nexus Venture Partners, General Catalyst, Dell Technologies Capital, Intel Capital, SoftBank and 10 more.
Who are Minio's competitors?
Competitors of Minio include Cloudian, Weka, Simplyblock, Scality, StorageOS and 7 more.
What products does Minio offer?
Minio's products include MinIO.
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Compare Minio to Competitors

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JuiceFS is a distributed file system designed for cloud environments. It has a data-metadata separation architecture that supports open-source storage engines and is capable of handling a large number of files. JuiceFS is compatible with POSIX, HDFS, and S3 protocols, and can be used in various applications including big data and AI. It is based in Emeryville, California.
StorageOS develops software-defined cloud native storage solutions within the technology sector. The company offers a platform that supports containerized production applications across environments, including cloud, on-premises, and hybrid/multi-cloud setups. StorageOS provides Kubernetes persistent storage, allowing enterprises to run services and stateful applications on infrastructure with elements such as scalability, availability, and data security. It was founded in 2015 and is based in London, United Kingdom.

SandStone provides cloud data storage and management solutions, focusing on the technology sector. The company offers products including a unified storage platform, metadata storage systems, and AI data processing tools, intended for handling large volumes of unstructured data across various industries. SandStone serves sectors such as finance, energy, manufacturing, IT infrastructure, and automotive, offering data management solutions to meet the needs of each industry. It was founded in 2014 and is based in Shenzhen, Guangdong.

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Scality specializes in file and object storage solutions, focusing on data management across edge, core, and cloud environments within the technology sector. The company offers scalable storage infrastructure designed to address complex data storage challenges and ensure data protection, particularly in hybrid and multi-cloud environments. Scality's solutions cater to a diverse range of sectors, including global enterprises, government, healthcare, media and entertainment, and cloud service providers. It was founded in 2009 and is based in San Francisco, California.
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