Unstructured data keeps growing, and most of it lands on hard drives. HDD media still offers the lowest cost per terabyte for petabyte-scale storage. But HDDs carry a reputation: plenty of capacity, not much speed. As drives grow past 20 TB each, that worry gets louder. Bigger spindles are not faster spindles, and many teams … Read More
Every scale-out object storage cluster needs a way to spread client traffic across its nodes. Most teams reach for one of three options: plain DNS routing, a general-purpose load balancer (a commercial appliance or an open-source proxy such as HAProxy or NGINX), or a do-it-yourself stack built from kernel-level or cloud tools. Each of these … Read More
The customer is one of the largest cloud service providers in the Asia-Pacific region, with annual recurring revenue exceeding $500 million. It operates a full public cloud platform serving enterprise and public sector customers, including compute, networking, and storage services delivered from multiple domestic data centers. Having built its business as a traditional cloud service … Read More
Cloudian benchmarks of S3-native object storage with RDMA acceleration demonstrate up to 20x lower TTFT versus recompute, and a 31.77% mean latency advantage versus TCP across tested ISL sizes at P95. As large language models grow in capability, they’re also growing in cost. And not just the cost of GPUs. Every time a user returns … Read More
Neoclouds and GPU cloud providers compete on one promise: better GPU economics than the hyperscalers. Delivering it comes down to a storage layer most teams underestimate. Object storage for neoclouds has to do three hard things at once — feed GPUs fast enough to avoid idle time, scale to petabytes of training data and model … Read More
For the EU AI Act, August 2, 2026 is not a distant policy horizon. It is the moment compliance obligations become real. On that date, a significant set of EU AI Act requirements take effect for the organizations most directly involved in building and deploying AI systems. Providers, importers, distributors, deployers, and others will be … Read More
Begasoft AG selected Cloudian HyperStore as the object storage foundation for an AI data lake supporting Brandbot and its broader data services portfolio. Here’s why. Begasoft is a Bern-based information technology company that has been shaping Switzerland’s digital landscape for more than 25 years. The company delivers managed cloud infrastructure, IT operations and security, custom … Read More
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
