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
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
Today, we are proud to announce that Cloudian HyperStore 8.2.6 has achieved the Foundation level of NVIDIA-Certified Storage designation—giving enterprises a verified, high-performance object storage solution purpose-built for AI workloads at scale. The era of the AI factory has arrived. Data centers are no longer passive warehouses for storing bits and bytes—they are active manufacturing … Read More
When NVIDIA announced the BlueField-4-powered Inference Context Memory Storage Platform at CES in January, we immediately recognized its significance. As we wrote in our January blog post, the KV cache represents a paradigm shift — a new class of ephemeral AI data that demands purpose-built storage infrastructure optimized for speed and efficiency rather than traditional … Read More
In the world of data storage, the S3 API has long been the undisputed language of the cloud. It is flexible, scalable, and universal. However, as data-intensive workloads—led by AI and machine learning—began to push the limits of traditional networking, a bottleneck emerged: the TCP/IP stack. To break this bottleneck, Cloudian recently introduced RDMA (Remote … Read More
The future of enterprise AI hinges on the ability to turn massive amounts of unstructured data—documents, images, videos—into actionable intelligence. While Large Language Models (LLMs) are powerful, their effectiveness is limited by the data and context you feed them. This is where the Vector Data Lake emerges as a critical architectural component. Cloudian HyperScale® AIDP … Read More
Cloudian has collaborated with NVIDIA to add support for RDMA for S3-compatible storage to its HyperStore® solution, drawing on its 13+ years of experience in S3 API implementation. As an S3-API based platform with parallel processing architecture, Cloudian is uniquely suited to both contribute to and capitalize on the development of this technology. This collaboration … Read More
As AI applications increasingly rely on massive vector databases for real-time similarity search and retrieval, the bottleneck of slow data indexing has become a critical performance barrier. In a recent test, Cloudian and NVIDIA achieved an 8-fold reduction in the time taken to index and store embedded data in a Milvus vector database reducing the … Read More
Imagine having an incredibly knowledgeable assistant who has read every manual, document, and piece of technical information in your organization. One that lets you instantly find exactly what you need when you ask a question in plain English. This unlocks the 80% of enterprise knowledge currently inaccessible to AI. That’s what the Cloudian HyperScale AI … Read More
