Cloudian Delivers Scalable AI Infrastructure with Reference Architecture based on Supermicro and NVIDIA

March 19, 2025 07:00 AM AEDT | By EIN Presswire
 Cloudian Delivers Scalable AI Infrastructure with Reference Architecture based on Supermicro and NVIDIA
Image source: EIN Presswire

SAN MATEO, CA, UNITED STATES, March 18, 2025 /EINPresswire.com/ -- Cloudian today announced a reference architecture for GenAI workloads that integrates Cloudian HyperStore object storage with Supermicro servers based on NVIDIA OVX and NVIDIA HGX. The solution has been shown to deliver throughput over 20 GB/s per node, with performance scaling linearly to meet the demanding I/O requirements of modern AI workloads including model training, inference, and checkpointing.

Object storage is rapidly becoming a cornerstone technology for AI due to its ability to efficiently manage the massive volumes of unstructured data that power modern machine learning and deep learning models. Cloudian delivers full S3 API compatibility, robust data protection, and scalable-performance enabled by integration with NVIDIA GPUDirectStorage, all of which empower organizations to unlock the full potential of AI innovation.

The reference architecture showcases several important capabilities:

● High-performance flash, leveraging NVIDIA GPUDirect Storage and RDMA networking with linear throughput scaling
● Comprehensive enterprise feature set, including observability, self-healing and repair, multi-tenancy, QoS, dynamic storage provisioning, and data lifecycle management

● Enterprise-grade security certifications with built-in ransomware protection and no custom OS kernel

"The AI storage landscape demands extreme performance, exabyte scalability, and enterprise-grade data management capabilities," said Amit Rawlani, Sr. Director of Alliances at Cloudian. "This solution revolutionizes AI infrastructure by delivering HPC-class performance with the scalability and cost-effectiveness of S3-compatible object storage, all while providing the management features that enterprises require."

"This architecture combines Supermicro's GPU-optimized systems with Cloudian's enterprise object storage to create a complete solution for AI infrastructure," said Lawrence Lam, vice president of Architecture AI and Storage Technology at Supermicro. "Organizations can deploy with confidence knowing the platform will scale seamlessly to meet their evolving needs."

The reference architecture delivers native S3 API compatibility, security, and scalability, supporting configurations from entry-level deployments to massive enterprise AI implementations. This flexibility enables organizations to begin with modest installations and seamlessly expand their infrastructure as AI initiatives grow, while maintaining consistent performance and unified management across the entire environment. The architecture's proven linear scaling ensures predictable growth without compromising system efficiency or administrative simplicity.

Download the reference architecture document here.

About Cloudian
Cloudian is the leader in secure, S3-compatible AI data lake platforms. With enterprise-grade security, limitless scale, and seamless cloud integration, Cloudian delivers plug-and-play interoperability with NVIDIA GPUDirect Storage and with AI tools such as PyTorch, TensorFlow, Kafka, Arrow and more. Our software-defined, on-premises solutions let users simplify and accelerate AI workflows, meet data sovereignty requirements, and cut costs by consolidating information to a single, cloud-like environment. Cloudian’s geo-distributed architecture manages and protects object and file data at the edge, core, and in the cloud, for both traditional and modern applications.

Jon Toor
Cloudian
email us here

Legal Disclaimer:

EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.


Disclaimer

The content, including but not limited to any articles, news, quotes, information, data, text, reports, ratings, opinions, images, photos, graphics, graphs, charts, animations and video (Content) is a service of Kalkine Media Pty Ltd (“Kalkine Media, we or us”), ACN 629 651 672 and is available for personal and non-commercial use only. The principal purpose of the Content is to educate and inform. The Content does not contain or imply any recommendation or opinion intended to influence your financial decisions and must not be relied upon by you as such. Some of the Content on this website may be sponsored/non-sponsored, as applicable, but is NOT a solicitation or recommendation to buy, sell or hold the stocks of the company(s) or engage in any investment activity under discussion. Kalkine Media is neither licensed nor qualified to provide investment advice through this platform. Users should make their own enquiries about any investments and Kalkine Media strongly suggests the users to seek advice from a financial adviser, stockbroker or other professional (including taxation and legal advice), as necessary.
The content published on Kalkine Media also includes feeds sourced from third-party providers. Kalkine does not assert any ownership rights over the content provided by these third-party sources. The inclusion of such feeds on the Website is for informational purposes only. Kalkine does not guarantee the accuracy, completeness, or reliability of the content obtained from third-party feeds. Furthermore, Kalkine Media shall not be held liable for any errors, omissions, or inaccuracies in the content obtained from third-party feeds, nor for any damages or losses arising from the use of such content.
Kalkine Media hereby disclaims any and all the liabilities to any user for any direct, indirect, implied, punitive, special, incidental or other consequential damages arising from any use of the Content on this website, which is provided without warranties. The views expressed in the Content by the guests, if any, are their own and do not necessarily represent the views or opinions of Kalkine Media. Some of the images/music that may be used on this website are copyrighted to their respective owner(s). Kalkine Media does not claim ownership of any of the pictures displayed/music used on this website unless stated otherwise. The images/music that may be used on this website are taken from various sources on the internet, including paid subscriptions or are believed to be in public domain. We have made reasonable efforts to accredit the source wherever it was indicated as or found to be necessary.
This disclaimer is subject to change without notice. Users are advised to review this disclaimer periodically for any updates or modifications.


AU_advertise

Advertise your brand on Kalkine Media

Sponsored Articles


Investing Ideas

Previous Next
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.