Cloudian

Cloudian Cloudian is the leader in hybrid object storage solutions. Enterprises and service providers deploy

06/09/2026

Enterprise AI doesn't have a model problem. It has a data problem. Data is spread across file and object silos, security requirements limit access, and public cloud AI costs can quickly spiral as workloads scale.

That's why we're excited to announce HyperScale® AIDP v1.1. This latest release expands Cloudian's turnkey on-premises AI platform with:

✅ Native support for NVIDIA AI Blueprints for Enterprise Document RAG and Video Search & Summarization
✅ Direct ingestion from both NFS file shares and object storage - no migration projects required
✅ End-to-end security that enforces user permissions across ingest, vectorization, retrieval, and inference
✅ Validation on NVIDIA-Certified platforms from both Supermicro and Lenovo

The result? Enterprises can deploy production AI on their own infrastructure, maintain data sovereignty, and reduce AI infrastructure costs by up to 60% compared to public cloud alternatives.

If you're looking to move AI from pilot to production while keeping control of your data, this announcement is worth a read.

Read more: https://bit.ly/4oe2ydE

06/03/2026

In an era where speed and efficiency are paramount, financial institutions must adapt or risk obsolescence. By embracing on-premises AI solutions, financial institutions not only safeguard sensitive data but also enhance their operational efficiency, laying the groundwork for a future where innovation drives growth.

The power of AI is on the horizon—are you ready to seize it?

Learn more at cloudian.com

06/01/2026

Agentic AI is creating new security challenges for enterprise infrastructure teams.

As AI agents gain access to data, context memory, and distributed inference environments, organizations need security that operates at AI speed—not after-the-fact monitoring.

That's why Cloudian is extending its collaboration with NVIDIA to support NVIDIA Vera BlueField-4 STX architecture and new NVIDIA DOCA-powered security innovations within HyperStore.

Key capabilities include:
🔹 In-silicon AI-native data protection
🔹 Secure context memory isolation for multi-tenant AI environments
🔹 Continuous AI agent governance and threat detection
🔹 Runtime threat detection up to 1,000x faster than traditional agentless approaches
🔹 Policy enforcement at up to 800Gb/s line rates

By combining exabyte-scale S3-native object storage with security enforced directly in the data path, enterprises can build a stronger foundation for secure, scalable agentic AI.

Read the announcement to learn how Cloudian and NVIDIA are helping organizations protect data, context, and AI agents across the AI factory.

https://bit.ly/3Sco0Ud

05/28/2026

As enterprises build AI factories, a familiar problem is re-emerging: storage silos. One cluster for training. Another for RAG. Another for regulated workloads. Another for inference.

The result? Rising operational complexity, stranded capacity, and higher costs.

In this blog, explore why multi-tenancy is the "way out" of this silo problem. It is becoming essential for scalable enterprise AI because it allows organizations to consolidate AI workloads onto a single high-performance storage platform while maintaining security, isolation, compliance, and performance guarantees.

https://bit.ly/4f3wab5

A great read for anyone building or scaling AI infrastructure.

05/21/2026

Everyone is talking about AI models. But enterprise leaders are discovering the real differentiator is data...specifically, who controls it, where it lives, and how fast it can be accessed securely.

New research from 203 enterprise IT decision-makers reveals:
• 79% of organizations are already moving some AI workloads on-premises or to private infrastructure
• 58% have delayed or scaled back AI initiatives over concerns about sensitive data leaving their control
• Cloud AI costs are exceeding projections for many enterprises

As NVIDIA’s Daniel Glogowski explains: “Sovereignty isn’t a niche requirement anymore — it’s a tier-one enterprise concern.”

That challenge is reshaping enterprise AI strategy. Organizations across financial services, healthcare, legal, and insurance are increasingly prioritizing data sovereignty, predictable economics, and low-latency performance — driving a major shift toward hybrid and on-prem AI infrastructure.

This article from Data Center Dynamics dives into why enterprises are rethinking AI infrastructure, how hybrid AI models are evolving, and why bringing AI to the data may become the defining architecture of enterprise AI.

Read the full article to explore the survey findings and expert insights from Cloudian and NVIDIA.
https://bit.ly/4eUmsb1

05/20/2026

AI in financial services has moved beyond experimentation.

Banks and insurers are under pressure to deliver:
⚡ Faster customer experiences
🛡️ Smarter fraud detection
📄 Automated underwriting and compliance
🤖 Generative AI-powered internal knowledge systems

But there’s a problem most vendors gloss over: Public cloud AI creates major compliance, cost, and data sovereignty concerns for regulated financial workloads.

That’s why more financial institutions are shifting toward on-premises AI infrastructure - keeping sensitive data inside their own environments while still enabling high-performance AI at scale.

In this blog, we break down:
• The highest-ROI AI use cases in banking and insurance
• Why public cloud AI often fails compliance requirements
• How RAG, video intelligence, and document AI are being deployed today
• What “production-ready” AI infrastructure actually needs to deliver
• How organizations are reducing AI infrastructure costs by up to 70%

If you’re evaluating how to move AI from pilot projects into production without compromising security or governance, this is worth a read: https://bit.ly/4dhuKIN

AI is transforming how organizations extract value from video, but until now, video analytics often required complex inf...
05/15/2026

AI is transforming how organizations extract value from video, but until now, video analytics often required complex infrastructure, custom development, and specialized AI expertise.

That’s why Cloudian HyperScale AIDP (AI Data Platform) is such a game changer.

Delivered as a fully integrated on-premises appliance, HyperScale AIDP comes pre-configured with the compute, storage, and software needed to run AI workloads right away, no complicated setup required.

Even more powerful: it includes the NVIDIA Video Search and Summarization (VSS) Blueprint out of the box. That means teams can search, summarize, and analyze video using simple natural language prompts, no coding needed.

From compliance monitoring to security, manufacturing, and retail analytics, organizations can unlock enterprise-grade video intelligence while keeping full control of their data on-premises.

Read the full blog to see it in action: https://bit.ly/49zAdbx

05/14/2026

AI is transforming the factory floor - predictive maintenance cutting downtime by 50%, computer vision catching defects no human eye could, supply chain optimization saving millions. But manufacturers face two barriers that stop most AI projects cold:

• The data problem. The sensitive operational data that makes these use cases work — production parameters, quality metrics, proprietary processes — can't leave your four walls without serious risk.

• The skills problem. Building and running AI infrastructure has traditionally required specialized expertise most manufacturing IT teams simply don't have.

That's exactly what Cloudian HyperScale® AI Data Platform is built to solve.

On-premises. Fully integrated. Deployed in days, not months. No cloud dependency. No specialized AI skills required — just plug in, point it at your data, and go.

We broke down exactly how manufacturers are running enterprise AI without ever exposing their data and without needing a team of AI engineers to make it work, including use cases for technical documentation search, video intelligence, and OT security monitoring.

If you're thinking seriously about AI in manufacturing, read the full breakdown: https://bit.ly/4nCkvlN

05/06/2026

How does a leading IT provider guarantee 100% data sovereignty while neutralizing ransomware threats? Move AS was faced with this very challenge. They needed a premium Backup-as-a-Service (BaaS) that could scale across Norway’s public and private sectors without compromising on security or cost.

The Solution: A powerhouse integration of Cloudian and Cohesity. By combining Cohesity’s data management with Cloudian’s S3 Object Lock (WORM), Move AS achieved the following:

• Layered Immutability: Backups that cannot be encrypted or deleted by hackers.
• Total Sovereignty: All data stays on Norwegian soil, immune to foreign jurisdiction.
• Scale-out Economics: Predictable costs and seamless growth for multi-tenant environments.

Discover how they built a "Cyber Vault" for the Nordic market.

Read the full case study here: https://bit.ly/4w8w9bW

04/15/2026

For years, the move to the public cloud was seen as the ultimate goal. But in 2026, the tide is turning. A massive 93% of enterprises are now exploring "repatriation"—moving data and workloads back to on-premises infrastructure.

It isn’t about abandoning the cloud; it’s about moving from Cloud-First to Cloud-Smart.

SDxCentral writes about the reasons why the "Great Rebalancing" is happening right now, including:

• The Maturity Tax: Cloud is great for testing, but as workloads scale and reach a "steady state," monthly consumption fees often dwarf the cost of owning your own hardware.

• Data Sovereignty: With tightening global regulations (like GDPR) and geopolitical shifts, many organizations no longer feel comfortable keeping their crown jewels outside of their direct control.

• The AI Factor: AI dominance requires massive, predictable compute power. Moving these workloads on-prem provides better performance and cost-predictability.

The future isn't all-or-nothing—it’s Hybrid. Use the cloud as your "innovation lab," then graduate mature workloads to on-prem to save costs and stay compliant.

Read SDxCentral's full breakdown on how to master the practical repatriation model here: https://www.sdxcentral.com/marketwatch/the-great-rebalancing-the-give-and-take-of-cloud-and-on-premises-data-management/

Address

San Mateo, CA

Opening Hours

Monday 10am - 6pm
Tuesday 10am - 6pm
Wednesday 10am - 6pm
Thursday 10am - 6pm
Friday 10am - 6pm

Website

Alerts

Be the first to know and let us send you an email when Cloudian posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.

Contact The Business

Send a message to Cloudian:

Shortcuts

Share