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At the Supercomputing Conference (SC25), DDN has introduced a transformative solution to the critical data bottleneck plaguing modern AI infrastructure. The company unveiled DDN CORE, a breakthrough unified data engine designed to sustain the world's most data-intensive AI and high-performance computing (HPC) environments by unifying workflows and maximizing computational efficiency.
DDN launches CORE, a unified data engine merging its EXAScaler and Infinia technologies for HPC and AI.
It solves the critical data bottleneck that leaves expensive GPUs idle and inflates infrastructure costs.
CORE delivers performance breakthroughs, including >99% GPU utilization and 15x faster checkpointing.
The platform offers significant efficiency gains with 11x higher performance-per-watt and 40% lower power use.
It is a software-defined intelligence layer validated across leading ecosystems like NVIDIA and Google Cloud.
DDN CORE is proven at scale, already powering over one million GPUs in global AI deployments.
Enterprises and research centers invest over $180 billion annually into AI infrastructure, yet many struggle with complex environments where data bottlenecks between training, inference, and data preparation leave vast amounts of compute power idle. This inefficiency also contributes to soaring data center power consumption. DDN CORE is engineered specifically to change this equation by replacing fragmented systems with a single, intelligent data engine.
"The bottleneck in AI isn’t compute anymore—it’s data," said Alex Bouzari, CEO and Co-Founder at DDN. "DDN CORE gives organizations a single data foundation where HPC and AI operate together at full speed and scale. It’s how we turn infrastructure cost into intelligence ROI."
DDN CORE unites the company's proven EXAScaler and Infinia technologies into a single high-performance data fabric. It is designed as an intelligent software layer that optimizes the entire AI lifecycle. Key performance highlights include training acceleration with up to 15x faster checkpointing and 4x faster model loading, driving sustained GPU utilization over 99%. For inference and RAG, it delivers 25x faster response times and a 60% lower cost per query. The system also boasts extreme density and efficiency, achieving up to 11x higher performance-per-watt and 40% lower power consumption.
As a software-defined data engine, DDN CORE acts as the intelligence layer that unifies performance, observability, and orchestration across diverse compute and storage architectures. It runs natively on DDN’s AI400X3 and Infinia platforms and is certified on partner systems from Supermicro and leading cloud providers. This ensures consistent, high-performance AI data processing everywhere, from on-premises deployments to the cloud. The platform is optimized for the NVIDIA AI Data Platform and validated across major cloud ecosystems, including Google Cloud, Oracle Cloud Infrastructure, CoreWeave, and others.
About DDN
DDN is a leading AI and data intelligence company, empowering organizations to maximize the value of their data with end-to-end HPC and AI-focused solutions. Its customers range from the largest global enterprises and AI hyperscalers to cutting-edge research centers, all leveraging DDN’s proven data intelligence platform for scalable, secure, and high-performance AI deployments that drive 10x returns.
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