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 enterprise storage landscape has fundamentally changed. After years of steadily declining flash prices, IT leaders now face a stark new reality: enterprise NVMe flash costs are surging, and relief isn’t coming anytime soon. But there’s a strategic path forward that doesn’t require choosing between performance and budget—intelligent data tiering. The Flash Market Has Turned … Read More
Today’s CES announcement of NVIDIA BlueField-4-powered Inference Context Memory Storage Platform validates what forward-thinking AI architects have long understood: AI inference is creating a new class of data that doesn’t need traditional fault-tolerant storage—and treating it like permanent data is costing AI-native organizations billions in unnecessary infrastructure. The reason is the Key-Value (KV) Cache. When … 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
