The era of the AI factory has arrived. Data centers are no longer passive warehouses for storing bits and bytes—they are active manufacturing facilities for intelligence. AI models are being trained, fine-tuned, and inferred at unprecedented scale, and the infrastructure feeding them must evolve to match. In this new paradigm, data is the raw material … Read More
In a previous post, we introduced Cloudian HyperScale AIDP and the NVIDIA Video Search and Summarization (VSS) blueprint — showing how organizations can analyze video footage using plain language queries, no AI expertise required. That demo used a fixed set of recorded video to illustrate the capability. But real-world video environments don’t stand still. Cameras … Read More
As enterprises stand up AI factories, an awkward pattern keeps emerging: the more workloads they run, the more storage clusters they end up managing. A training environment here, a RAG pipeline there, a separate cluster for the regulated business unit, another one for the customer-facing inference service. Each new workflow brings another silo — and … Read More
Financial services leaders are under pressure from every direction. Boards are asking when AI will start moving the needle. Customers expect the same personalized, instant experience they get from their favorite consumer apps. Fraud teams are losing ground to attackers who already use AI. And regulators are tightening expectations on data handling, model governance, and … Read More
The promise of AI in manufacturing has never been clearer—or more urgent. Predictive maintenance that cuts unplanned downtime by up to 50%. Computer vision systems that catch defects faster and more accurately than the human eye. AI-driven supply chain optimization that can save millions in inventory costs. For manufacturers under relentless pressure to improve efficiency, … Read More
Artificial intelligence is transforming the way organizations extract value from video. Until recently, building AI-powered video analysis capabilities meant assembling complex infrastructure, writing custom code, and hiring specialized AI engineers. Now, Cloudian HyperScale AIDP changes that equation entirely. Introducing Cloudian HyperScale AIDP HyperScale AIDP (AI Data Platform) is an on-premises AI solution delivered as a … Read More
Data (or cloud) repatriation is the process of moving data, applications, and workloads from public cloud providers back to on‑premises data centers, private clouds, or alternative hosting environments. Organizations pursue repatriation to improve cost efficiency, gain tighter security and sovereignty, and better align infrastructure with long‑term business and regulatory requirements. In practical terms, repatriation means … Read More
Artificial intelligence is reshaping financial services—from fraud detection to loan processing to regulatory reporting. But for most financial institutions, public cloud-based services have limitations. Strict data privacy regulations, real-time latency requirements, and the sensitivity of customer financial data make public cloud a poor fit for some workloads. The answer is on-premises AI infrastructure purpose-built for … Read More
HPE and Cloudian have joined forces to offer a solution that can save 90% on object storage capacity, while still delivering the superior S3 API fidelity of the world’s leading object storage platform. Modern data platforms have converged on S3-compatible object storage as their preferred foundation. The reasons are clear: horizontal scalability, open API compatibility, … Read More
NCPs and NeoClouds operate at the intersection of AI infrastructure and enterprise service delivery. NCP/NeoCloud storage is mission-critical: it must perform at GPU speed, scale without disruption, and support the complex multi-tenant, multi-datacenter environments that modern AI clouds demand. Cloudian HyperStore is purpose-built for NCP and NeoCloud storage requirements. Below are the ten capabilities that … Read More
