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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We have said it before, but it bears repeating. The cloud is an operating model - not a physical location. That is why you will find MinIO everywhere on the public cloud, on the private cloud, at the edge. We don’t differentiate and because we are cloud native we are cloud (location) agnostic.
The public cloud has mindshare and
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In this post we’ll show you how you visualize the cluster metrics in a web browser and also we’ll set up alerting so that when something like a drive needs to be replaced or drive runs out of space we can get alerted for it.
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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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Replication
Versioning
Observability
Encryption
Key Management Server
S3 Compatibility
Object Immutability
Catalog
Object Prompt
Identity + Access Mgt
Firewall
AIHub
Lifecycle
Cache
Events and Lambdas
Console
Erasure Code Calculator
Reference Hardware
Integrations with MinIO
Download MinIO Object Store
Events
