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 21,006 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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In a modern #datalake, catalogs serve as the backbone for organizing and querying data efficiently. Recent news stories—such as Databricks' acquisition of Tabular (now part of Databricks) and Snowflake's open-sourcing of Polaris—have given catalogs their "it" moment. However, the industry is at a crossroads—with diverse implementations creating a fragmented ecosystem. Databases and datalakes SME Brenna Buuck thinks the era of fragmented data catalogs is ending. Check out her thoughts in this article: https://hubs.li/Q02L2ct80
The Catalog’s “IT” moment and what it means for MinIO, Object Storage and AI
blog.min.io
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Welcome back to the MinIO Newsletter... August edition. We have such good stuff for you this month, from the release of MinIO DataPod, the buzz around the new #privatecloud and data-centric AI to the ins and outs of the MinIO Enterprise Object Store's Firewall and Observability features. Our team was on 🔥 this month. Check it out.
MinIO DataPod, Architecting a Modern Data Lake, Apache Iceberg: The August 2024 MinIO Newsletter
MinIO on LinkedIn
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MinIO's customers are a true testament to why MinIO is the fastest growing #objectstorage company in the industry. Customers depend on MinIO to deliver outstanding support, simplicity and high performance. More about our best-in-class technology: https://hubs.li/Q02KSCP50
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For a few years there, the term #privatecloud had a negative connotation. But as we know, technology is more of a wheel than an arrow, and right on cue, the private cloud is getting a ton of attention—and it is all positive. The stats are clear. Forrester's 2023 Infrastructure Cloud Survey had 79% of the 1,300 enterprise decision-makers who responded saying they are implementing private clouds. (See more evidence in our blog post below…👇) So much for the cloud-industrial complex’s claims of “nothing to see here…” MinIO’s CTO Ugur Tigli’s Architect’s Guide to the New Private Cloud covers the right architecture to repatriate to, engineering-first principles of the private #cloud and how to design #AI data infrastructure. https://hubs.li/Q02KDyj30
The Architect's Guide to the New Private Cloud
blog.min.io
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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/Q02HsLnn0
Data-Centric AI with Snorkel and MinIO
blog.min.io
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In modern #datalake architectures, the semantic layer is key to adding meaningful context to data that would otherwise be lost. Acting as a bridge between uncurated data and the tools that use it, the semantic layer is essential for #AI, ensuring data is clean and ready for model training. For a universal semantic layer to succeed, the entire organization must evolve to use its semantics, integrating it into every tool in the toolchain. This blog post by datalakes and databases SME Brenna Buuck offers an overview of the best tools designed for modern datalakes. https://hubs.li/Q02Kwrxt0
Enhancing Modern Datalakes with a Robust Semantic Layer
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/Q02H08Kd0
Storage: The unsung hero of AI deployments
cio.com
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MinIO's CMO Jonathan Symonds breaks down Insight Partner's State of Enterprise Tech 2024 report, focusing primarily on the Data & AI and Infrastructure & Dev Ecosystem sections. This is a great report that echoes much of what we have been talking about for the last year or so. It’s well worth your time, and Jonathan makes it super digestible. #data #AI https://hubs.li/Q02KtYkY0
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Sidharth Rajaram explores four technical reasons why #AI workloads rely on #privatecloud, high-performance #objectstorage: 1) no limits on unstructured data 2) rich #metadata for model and datasets 3) model and datasets are available, auditable and versionable 4) read on to check out the final reason… 👀 https://hubs.li/Q02DQV-g0
The Real Reasons Why AI is Built on Object Storage