MinIO just reached an amazing milestone, one that no storage company has even come close to - one billion Docker pulls. Thank you to our customers, partners and our community for helping us get here. Read Garima Kapoor's thoughts here: https://hubs.li/Q01mQc9X0 #opensource
MinIO
Software Development
Redwood City, California 20,834 followers
High Performance, Kubernetes Native Object Storage
About us
MinIO has pioneered the creation of high-performance, kubernetes-native object storage. Their open source, software-defined, Amazon S3 compatible object storage system is optimized for the private cloud. It is the world's fastest growing object storage company, with more than 1 billion Docker pulls and more than 35K GitHub Stars. Enterprises use MinIO to deliver against ML/AI, analytics, application, backup and archival workloads - all from a single platform. The world's fastest object storage server, MinIO offers READ/WRITE speeds of 325 GB/s and 145 GB/s on standard hardware. In addition, MinIO was built from scratch in the last four years and is native to the technologies and architectures that define the cloud. These include containerization, orchestration with Kubernetes, microservices and multi-tenancy. MinIO 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 and identity access management. Commercial licenses and support are available 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. Subscribe to our LinkedIn Newsletter: https://hubs.li/Q024vkKZ0
- Website
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https://min.io
External link for MinIO
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Redwood City, California
- Type
- Privately Held
- Founded
- 2014
- Specialties
- multi-cloud, hybridcloud, and datastore
Products
MinIO
Object Storage Software
MinIO's High Performance Object Storage is Open Source, Amazon S3 compatible, Kubernetes Native and is designed for cloud native workloads like AI.
Locations
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Primary
275 Shoreline Drive
Suite 100
Redwood City, California 94065, US
Employees at MinIO
Updates
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Turn your Snowflake instance into a modern #datalake with Snowflake’s external table functionality and MinIO for scalable data storage and management. By treating data in MinIO as read-only tables in Snowflake, you can avoid the need for data migration. Integrating Apache Iceberg further improves your modern datalake architecture, offering improved performance through efficient data partitioning and advanced capabilities like schema evolution and time travel. Snowflake’s investment into external tables highlights the importance of flexible and efficient #data solutions, whether your data is on-prem, in the #publiccloud, or at the edge. Check out this blog post to see how these improvements can help you optimize your data strategy: https://hubs.li/Q02GN-8T0
Boosting Snowflake with External Tables
blog.min.io
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In today’s day and age, it’s critical to have a modern, scalable and high-performance #objectstorage optimized for #AI infrastructure—which is why organizations are moving to MinIO. Transitioning from the now legacy Hitachi Content Platform (HCP) to MinIO has never been easier, thanks to our HCP-to-MinIO tool. Developed to support our customers' evolving storage needs, this tool is freely available on GitHub and greatly simplifies the migration process. https://hubs.li/Q02Fbnz60
Migrate to AI-Ready infrastructure: Hitachi Content Platform to MinIO
blog.min.io
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AI is driving massive increases in storage requirements—often 4-10x. In parallel, that storage has to perform at scale—exascale to be specific. This is changing the storage landscape as enterprise IT moves away from file and block, architecting in #objectstorage instead. Grant Gross from CIO Online nails it in this well-researched article about how storage is the unsung hero of #AI deployments. It features some excellent commentary from MinIO CTO Ugur Tigli about scale, drive selection and the economics of AI in the #privatecloud (save 60% over the public cloud). Quick and insightful—you don’t want to miss this read: https://hubs.li/Q02H04Qp0
Storage: The unsung hero of AI deployments
cio.com
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AI and ML model are as good as the #data that underpins them. No one debates this fact. But what is the next most important attribute? We will argue that accessibility and performance are next and that they are massively important from a competitive perspective. We believe this so passionately that we built the industry's top performance assessment tool, WARP. This #opensource, full-featured, S3 performance assessment software is purpose built to conduct tests between WARP clients and #objectstorage hosts—making it ideal for benchmarking your #AI data infrastructure. Go deeper here: https://hubs.li/Q02D4ZPR0
WARP speed your AI data storage Infrastructure
blog.min.io
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We are thrilled to share the release of MinIO DataPod, a first-of-its-kind reference architecture for building data infrastructure to support exascale #AI and large-scale #datalake workloads. As object storage has become foundational for AI infrastructure, MinIO continues to innovate—building the blueprint for storing massive volumes of structured and unstructured data and providing performance at scale. Get all the details here: https://lnkd.in/gvrzepfP
The MinIO DataPod: A Reference Architecture for Exascale
blog.min.io
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In the age of #AI, data is your competitive moat. That requires building a production-grade Retrieval Augmented Generation (RAG) application with a robust data infrastructure for storing, versioning, processing, evaluating and querying your proprietary data. Our default infrastructure recommendation is to set up a modern #datalake and a vector database. These two units will serve as your center of gravity for all other elements of your #RAG application. Check out this post that uses MinIO to build a RAG-based chat application using commodity, off-the-shelf hardware. https://hubs.li/Q02FbnpR0
Earn your RAG-ing rights with MinIO
blog.min.io
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The MinIO Certification program is designed to validate your MinIO skills, boost your credibility and level up your career. Remember—there’s no #AI without #objectstorage. So why not get ahead? Get #miniocertified. https://hubs.li/Q02HwrXw0
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MinIO customers validate why MinIO is the unsurpassed choice for high-performance #objectstorage. Learn more about MinIO here: https://min.io/ #data #ai
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With all the buzz in the industry today regarding #LLMs with their encoders, decoders, multi-headed attention layers, and billions (soon trillions) of parameters, it’s tempting to believe that good #AI is solely a matter of model design. Unfortunately, this is not the case. Good AI requires more than a well-designed model. It also requires properly constructed training and testing #data. In this post, AI/ML SME Keith Pijanowski introduces the concept of data-centric AI, a term first coined by the folks at Snorkel AI, and talks how to use Snorkel Flow with MinIO to create a training pipeline for your AI workload. Check it out. https://hubs.li/Q02HsCry0
Data-Centric AI with Snorkel and MinIO
blog.min.io