DDN, the global leader in AI and data intelligence solutions, unveiled DDN CORE, a breakthrough unified data engine built to sustain the world’s most data-intensive AI and HPC environments.
For decades, DDN has powered the fastest AI supercomputers and most advanced research institutions on Earth. With DDN CORE, that same precision-engineered foundation now becomes the backbone of the AI Factory Era-unifying HPC and AI data workflows under one intelligent, high-performance system that keeps GPUs at full throttle and infrastructure fully productive.
“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 was engineered to eliminate idle GPUs,” added Sven Oehme, CTO, DDN. “By combining our expertise in parallel data systems with new intelligence-driven automation, CORE removes I/O latency, streamlines orchestration, and keeps every GPU working-not waiting.”
The Problem: Billions in Compute, Stalled by Data
Enterprises and research centers are pouring more than $180 billion into AI infrastructure each year. However, many admit that their environments are too complex to manage-burdened by bottlenecks between training, inference, and data preparation that leave vast amounts of compute power idle.
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At the same time, global data-center power use is on track to double to 1,000 TWh, roughly the annual electricity consumption of the United Kingdom. Inefficient I/O and fragmented data architectures are wasting both power and progress.
DDN CORE changes this equation. It replaces the patchwork of separate HPC and AI systems with one unified data engine designed to move information at the speed of computation-converting every watt of power and every GPU cycle into meaningful work.
“AI-ready storage is no longer optional-it’s foundational to running at scale with data that moves at the speed of compute. Leveraging the NVIDIA AI Data Platform reference design, DDN powers AI factories with the performance, throughput, and scale needed to turn data into intelligence in real time.”—Justin Boitano, vice president, Enterprise AI Products, NVIDIA
“By combining the scale of GCP with the performance of DDN CORE, we’re unlocking new levels of throughput for customers training models in days, not weeks.”—Sameet Agarwal, VP Engineering, Google Cloud
“DDN’s GPU-optimized storage technology, combined with the scalability and security of OCI, gives customers a cloud-native platform purpose-built for AI,” said Sachin Menon, Vice President, Cloud Engineering, Oracle. “Together, we are enabling enterprises to run complex AI and analytics workloads at scale, with predictable low latency and high throughput.”
SOURCE: Businesswire