MinIO的封面图片
MinIO

MinIO

软件开发

Redwood City,California 27,439 位关注者

High Performance, Kubernetes Storage Built for AI

关于我们

MinIO is the standard for building large-scale AI data infrastructure. AIStor is a software-defined, Amazon S3-compatible object store that is optimized for the private cloud but will run anywhere—from the public cloud to the edge. Enterprises use MinIO to deliver against artificial intelligence, machine learning, analytics, application, backup and archival workloads—all from a single platform. The use cases include storage for HDFS replacements, AI datalakes, SIEM datalakes, analytics datalakes, object storage as a service, streaming and database warm/hot storage. MinIO’s AIStor is the fastest object storage server, with production READ/WRITE speeds in excess of 2.2 TiB/s on commodity hardware. Built for the cloud operating model, it is native to the technologies and architectures that define the cloud. These include containerization, orchestration with Kubernetes, microservices and multi-tenancy—making it the most widely integrated object store in the market today. AIStor offers a host of enterprise features including inline erasure coding, bit-rot detection, state-of-the-art encryption, active-active replication, object locking, lifecycle management, observability, key-management, caching, firewall/load balancing, global console, search and identity + access management. AIStor is priced on usable capacity and includes support through the MinIO Subscription Network. The Subscription Network is designed to optimize deployments of MinIO and reduce the risk associated with data loss and data breach while providing 24/7/365 direct-to-engineering support.

网站
https://min.io
所属行业
软件开发
规模
51-200 人
总部
Redwood City,California
类型
私人持股
创立
2014
领域
multi-cloud、hybridcloud、datastore、datalakes、AI和ML

产品

地点

  • 主要

    275 Shoreline Drive

    Suite 100

    US,California,Redwood City,94065

    获取路线

MinIO员工

动态

  • 查看MinIO的组织主页

    27,439 位关注者

    Building upon AIStor's robust #AI capabilities, MinIO’s PromptObject lets users query their data using natural language—no code or complex queries needed. Now, we're expanding these capabilities by adding support for NVIDIA NIM?, providing users with a powerful, GPU-accelerated option for AI model deployment and management directly from the Global Console. This integration enhances PromptObject's existing features by bringing #NVIDIA's optimized inference capabilities to your #datalayer, creating new possibilities for how users can leverage AI to interact with their stored data. Dileeshvar Radhakrishnan explores this powerful integration and how it works in this article: https://lnkd.in/gm9XMKe3

    • 该图片无替代文字
  • 查看MinIO的组织主页

    27,439 位关注者

    Are you struggling with #AI infrastructure scale challenges? MinIO's CTO Ugur Tigli is heading to Data Innovation Summit 2025 in Stockholm, Sweden where he will be giving a talk on "How to overcome AI Infrastructure Scale Challenges with Hyper-Performant Object Store." ??: Wednesday, May 7th, 2025 ??: 12:10 PM ??: [M3] - Modern Data Platform Stage Meet him at the Modern Data Platform Stage as he shares how a hyper-performant #objectstore can revolutionize your AI workloads. Get more details here: https://lnkd.in/gyBKTNS

    • 该图片无替代文字
  • 查看MinIO的组织主页

    27,439 位关注者

    Modern enterprises seeking to leverage AI capabilities often face a significant hurdle: the complex deployment and management of #GPU infrastructure in their #Kubernetes environments. MinIO's AIStor addresses this challenge head-on by integrating the NVIDIA GPU Operator, revolutionizing how organizations deploy and manage GPU resources for AI workloads. Through automated GPU setup, driver management and resource optimization, this integration transforms what was once a complex, multi-step process into a streamlined deployment that can be achieved with a single command. The result is an enhanced AIStor platform that brings powerful AI capabilities directly to your data layer, allowing organizations to focus on leveraging AI rather than managing infrastructure. Check out Dileeshvar Radhakrishnan's article on Enterprise AI Infrastructure Made Easy with AIStor and #NVIDIA GPUs: https://lnkd.in/gpkjf2Jm

  • 查看MinIO的组织主页

    27,439 位关注者

    The team at Ciente sat down with the CMO of MinIO Erik Frieberg to discuss AIStor's unique advantages against traditional #publiccloud solutions, its proactive #cybersecurity measures, its role in reshaping the future of a cloud-native economy and more. Erik states, "Rapid AI adoption has significantly increased the scale of data and this is driving a shift in tech infrastructure. MinIO stands alone miles ahead of the competition because this is exactly what it was designed for—storing massive volumes of structured and unstructured data and providing performance at scale." Read more as Erik unpacks the trajectory of #AI innovations and how it may open unique avenues for a drastic transformation in storage solutions: https://lnkd.in/gHyXtZcD

  • 查看MinIO的组织主页

    27,439 位关注者

    Join us as we showcase how MinIO’s high-performance, scalable object storage is transforming the life sciences and biotech industries at Bio-IT World in Boston, MA from April 2 - 4, 2025. Our very own AI/ML SME Keith Pijanowski will be taking the stage on Thursday, April 3rd at 4:15 PM to share insights on the current state of #GPUs and what they mean to #AI in the life sciences. He will present on NVIDIA, Intel and AMD’s GPU progress and discuss techniques for using object storage & GPUs to drive innovation in the life sciences. #BioITExpo

    • 该图片无替代文字
  • 查看MinIO的组织主页

    27,439 位关注者

    Prepare your enterprise for the #exascale era with AIStor. MinIO AIStor, our hyperscale object store, is designed for #AI scale challenges—to allow enterprises to consolidate all of their data on a single, private cloud namespace. Architected using the same principles as the hyperscalers, #AIStor delivers performance at scale at a fraction of the cost compared to the public cloud. Learn more here: https://min.io/

相似主页

查看职位

融资

MinIO 共 3 轮

上一轮

B 轮

US$103,000,000.00

Crunchbase 上查看更多信息