Have you ever wondered how the big dogs with hundreds of apps and millions of users manage their Continuous Integration (Builds) and Continuous Delivery (Deployments) workflows?
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An educational services leader transformed its IT with MinIO, achieving 40% faster performance and 30% lower costs. Powered by Kubernetes, MinIO supports AI, ML, and scalable data lakes with active-active replication. Discover how they modernized for innovation and resilience.
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Tl;dr: GET, PUT, PROMPT. It’s now possible to summarize, talk with, and ask questions about an object that is stored on MinIO with just natural language using the new PromptObject API. In this post, we explore a few use-cases of this new API along with code examples.
Motivation:
Object storage and the S3 API’s ubiquity can be
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Today we announced the launch of AIStor, a new release which represents our singular focus on building the world’s finest object store for AI/ML workloads. The AIStor represents a year of accelerated learning from our biggest customers. MinIO is operating at a different level than the rest of the industry. We have multiple clients with more than 100
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The object storage world to date has been defined by the S3 API concepts of PUT and GET. The world in which we live now, however, requires more. Given that MinIO has more S3 deployments than even Amazon, it fell to us to come up with the next great S3 API.
That new API is the Prompt API and it
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As the demands of AI and machine learning continue to accelerate, data center networking is evolving rapidly to keep pace. For many enterprises, 400GbE and even 800GbE are becoming standard choices, driven by the need for high-speed, low-latency data transfer for AI workloads that are both data-intensive and time-sensitive. AI models for tasks like large language processing, real-time analytics, and
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One of the newest features of the AIStor is a private cloud version of the highly popular, open-source project, Hugging Face. This post details how AIStor’s AIHub effectively creates an API compatible, private cloud version of Hugging Face that is fully under the enterprise's control.
Before we get started, it makes sense to introduce Hugging Face.
Hugging
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The MinIO Console has been an evolving product for several years now. Every time we learn, we think about how to improve this incredibly important part of our interaction framework. First came the Console, which saw massive adoption within a year of its introduction. More than 10K organizations to be more specific.Next came the enterprise Console. That moved from
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As AI workloads drive cloud costs through the roof, many companies are rethinking their approach. Moving select AI tasks back on-prem offers a path to predictable costs, improved performance, and stronger data control.
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Interoperability is the key to building a flexible, future-ready AI data stack. As proprietary systems lock down innovation and drive up costs, open tools like S3-compatible storage and multi-format table systems offer the freedom to scale and adapt.
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MinIO recently surveyed 656 IT leaders as part of a primary research initiative with User Evidence. The results were very interesting and underscore the massive sea change we are seeing in the enterprise, both around the movement to object storage and the interest in using object storage as the primary building block for an organization’s AI initiatives. We will
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Before diving into Amazon’s S3 Connector for PyTorch, it is worthwhile to introduce the problem it is intended to solve. Many AI models need to be trained on data that cannot fit into memory. Furthermore, many really interesting models being built for computer vision and generative AI use data that cannot even fit on the disk drive that comes
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Object tags give you greater power. You now have the ability to categorize by up to ten dimensions. If you want to add the diagram to a project, then all you have to do is tag it appropriately.
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One of the biggest challenges facing organizations today for AI and data management is access to reliable infrastructure and compute resources. The Intel Tiber Developer Cloud is purpose-built for engineers who need an environment for proof-of-concepts, experimentation, model training, and service deployments. Unlike other clouds, which can be unapproachable and complex, the Intel Tiber Developer Cloud is simple and easy
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Parsec Labs is a company of engineers. Most have designed storage systems, been responsible for backups and replication, or worked in networking building switches. Founded in 2013, their Unified Data Mobility and Protection Appliance provides the most straightforward tools for migrating, replicating, and backing up data at scale.
A Common Request
As a one-time pre-sales engineer, Mark Clark, CEO of
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AIStor is a foundational component for creating and executing complex data workflows. At the core of this event-driven functionality is MinIO bucket notifications using Kafka.
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Everybody claims to be a software company these days. From the nearly decade old pronouncement by Marc Andressen that “Software Is Eating the World” to the push from Wall Street to produce recurring software revenue; the pressure is on to claim - at least - that you are a software company.
This is obviously problematic for appliance vendors. Try as
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Unlock real-time analytics, scalability, and future-proof your data with a lakehouse. Hadoop can't keep up with AI, but a lakehouse blends the best of data lakes and warehouses. Get actionable tips to smoothly phase your migration with minimal disruption.
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