Our special guest today is Paul Bloch, President and Co-founder of DDN, the high performance storage and intelligent data platform company.
AI runs on massive amounts of fast and reliable data, which makes topics related to ….
@HPCpodcast: DDN’s Paul Bloch on High Performance Storage Strategies for AI Data Centers
January 23, 2026 by
What I Saw at the Revolution
January 15, 2026 by
If it’s not too late to take stock of 2025 in HPC-AI, then holding up the Supercomputing Conference as a trends test site might be a good approach. I’m no perennial* but I’ve been to about half of the 37 SCs , including all 11 since 2015. Looking ….
DDN Report: 65% of Organizations Struggling to Achieve AI Success
January 13, 2026 by
The findings reveal that while organizations are seeking to adopt AI, most lack the foundation to sustain it. Rising complexity associated with infrastructure, underutilized cloud ….
DDN Powers Integrated Compute, Data, and Offload at Scale for NVIDIA Rubin Platform
January 8, 2026 by
Los Angeles — DDN today announced deep collaboration with NVIDIA to support the company’s next-generation AI factory architecture unveiled at CES 2026, including the NVIDIA Rubin platform and NVIDIA BlueField-4 DPU. DDN and NVIDIA are enabling enterprises and hyperscalers to operationalize large-scale AI faster by eliminating data bottlenecks that limit performance, utilization, and time-to-value. As generative and agentic AI workloads evolve toward million-token context windows, distributed inference, […]
DDN Introduces AI Data Architecture, Addresses NAND Shortages
December 5, 2025 by
Chatsworth, CA — AI data platform provider DDN announced new capabilities across its EXA and Infinia product lines desitned to enable organizations to enhance AI performance and GPU utilization even as global NAND shortages drive SSD prices up by 75–125 percent. These advancements uniquely position DDN as the only vendor capable of maintaining AI factory […]
DDN Touts MLPerf Storage Benchmark Performance
August 5, 2025 by
Chatsworth, Calif. — August 4, 2025 — DDN announced it has set a new benchmark for performance and efficiency with its AI400X3 storage appliance in the latest MLPerf Storage v2.0 benchmarks. Powered by DDN’s EXAScaler parallel file system, the AI400X3 is engineered to accelerate AI workloads. For large enterprises, this means faster time-to-insight, lower operational costs, […]
SNIA Announces Storage.AI
August 4, 2025 by
Santa Clara, CA., August 4, 2025 – SNIA, a not-for-profit organization for technologies related to handling and optimizing data, today announced Storage.AI, an open standards project designed for efficient data services related to AI workloads. Storage.AI will focus on industry-standard, non-proprietary, and neutral approaches to solving AI-related data problems to optimize the performance, efficiency, and […]
SNIA Announces Storage.AI
August 4, 2025 by
Santa Clara, CA., August 4, 2025 – SNIA, a not-for-profit organization for technologies related to handling and optimizing data, today announced Storage.AI, an open standards project designed for efficient data services related to AI workloads. Storage.AI will focus on industry-standard, non-proprietary, and neutral approaches to solving AI-related data problems to optimize the performance, efficiency, and […]
Google Cloud Managed Lustre with DDN EXAScaler Now Available for AI and HPC
July 8, 2025 by
Chatsworth, Calif. — July 8, 2025 — AI and data intelligence solutiosn compa ny DDN today announced that Google Cloud Managed Lustre, a managed, high-performance parallel file system service, powered by DDN’s EXAScaler technology, is now generally available. Designed to accelerate the most demanding workloads in AI, high-performance computing (HPC), and data-intensive enterprise environments, Google Cloud Managed […]
DDN Teams With NVIDIA on AI Data Platform Reference Design
May 19, 2025 by
AI and data intelligence vendor DDN today announced the NVIDIA AI Data Platform reference design, built in collaboration with NVIDIA to support organizations’ generative AI strategies by simplifying how unstructured data is stored, accessed ….
