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
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
