To ensure AI success, start by hiring a data engineer, not an AI/ML expert. Learn from our experience and find out why a strong data foundation—focused on object storage, data lakehouses, and optimized pipelines—is critical for scalable, efficient AI/ML workloads.
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Tesla just open-sourced its Tesla Transport Protocol over Ethernet (TTPoE). Like Tesla’s earlier move to share EV patents, this opens the door to faster innovation through open-source contributions, proving once again that transparency drives progress.
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Getting started with MinIO is easy—with a few simple commands and a small 100 MB binary, you can have a functional development environment up and running in no time. However, to harness the full capability of MinIO at production scale, professionals are encouraged to learn more about MinIO’s extensive capabilities. We are introducing the MinIO Learning Subscription, featuring
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You’ve surely version controlled code in the past. But have you version controlled your data? Did you ever want to collaborate on large sets of data with various teams without committing a large chunk?
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Enhance your AI workflows by combining MinIO’s scalable Enterprise Object Storage with Polars, a lightning-fast DataFrame library. Learn how this powerful duo accelerates data pipelines, handles massive datasets, and offers powerful performance and scale.
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Dell generally focused on the filer game, but they dabble in object storage and have a very old offering, ECS. That makes sense, it was a step up from tape and wasn’t suited for dynamic workloads like HDFS modernization or database workloads. Needless to say, AI was out of the question. For a few years now, Dell has been
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Faced with skyrocketing compute costs, MinIO data scientist Archana Vaidyanathan leveraged the power of the data lakehouse, which allows for flexible compute choices without overhauling storage. MinIO Enterprise Object Storage enhances this model, delivering speed, scalability, and cost savings.
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Simplifying your data streaming architecture with WarpStream, a cloud-native, Kafka-compatible platform that cuts costs and complexity, recently acquired by Confluent. Paired with MinIO's high-performance object storage, it's a powerful alternative to Kafka for scalable, cost-effective streaming.
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Large numbers of small files present big challenges for application performance.
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Confluent's WarpStream acquisition highlights the future of data streaming built on object storage. WarpStream’s cloud-native design cuts costs by 85% over traditional Kafka. Believe the hype: object storage drives low-cost, scalable performance.
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Pairing the Iceberg table format with MinIO Enterprise Store creates a powerful, flexible and extensible lakehouse platform. The Iceberg Table Spec declares a table format that is designed to manage “a large, slow-changing collection” of files or objects stored in a distributed system.
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MinIO introduced its conditional write feature long before AWS S3’s recent announcement. This powerful tool offers greater control in high-concurrency environments, ensuring data consistency and reliability, especially in AI and ML workflows.
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Databrick's CEO Ali Ghodsi Decouple storage and compute for more control, lower costs, and scalability. Modern datalakes, built on high-performance object storage like MinIO, empower you to handle AI/ML workloads with flexibility and performance—without relying on proprietary platforms.
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Take advantage of cloud native, Kubernetes-oriented, microservices-based architectures with object storage.
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When you think about object storage workloads and storage types - databases are increasingly a core workload. The changes are driven by two forces: the availability of high performance object storage and the explosive growth of data and specifically its associated metadata. Because of these two forces, almost every major database vendor now includes S3 compatible endpoints. Further, for many
Read more...![Gone [to Prod] in 60 Seconds](/content/images/size/w600/2024/09/gonetoprod-in60seconds-noeyes.jpg)
In this post we’ll show you how quickly you can get a production grade of MinIO cluster up and running in just a few seconds. Not only that, but we’ll also show you how you can expand that cluster quickly in just a few seconds as well.
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Microblink is an AI company specializing in image detection. They got their start in the identity space with products like BlinkID, BlinkID Verify, and BlinkCard. Most recently, their image detection capabilities have led to products that can process other types of images. For example, product detection can be performed on receipts, whereby product descriptions on a receipt are used to
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We really like the team over at Packet Pushers. Their podcast is one of the best in the industry, and they cover technology from the top of the stack to the bottom. We recently had the opportunity to sponsor the legendary Tom Lyon for an interview with Ethan Banks and Drew Conry-Murray. The team at Packet Pushers was intrigued by
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This post first appeared on The New Stack on July 29th, 2024. Artificial Intelligence is in the middle of a perfect storm in the software industry, and now Mark Zuckerberg is calling for open-sourced AI. Three powerful perspectives are colliding on how to control AI: 1. All AI should be open-source for sharing and transparency. 2. Keep AI closed-source and
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MinIO is the fastest object storage available, but how do you know that underlying infrastructure is free from bottlenecks?
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