DDN, the global leader in AI and data intelligence solutions, today announced a collaboration with NVIDIA within the Storage-Next initiative and focused on helping organizations achieve greater business and financial value from their AI investments.
The companies are working together to create a faster, more efficient connection between NVIDIA accelerated computing and the DDN Infinia data intelligence platform. By enabling GPUs to access the data they need more directly, the collaboration is designed to reduce delays, keep valuable computing resources productive, and accelerate the delivery of AI-driven outcomes.
DDN will demonstrate the technology at Flash Memory Summit, highlighting how a more efficient flow of data can help organizations increase the productivity of their AI infrastructure. For customers building large-scale AI environments, even small improvements in GPU utilization can translate into faster results, lower operating costs, and a greater return on significant compute investments.
As AI initiatives move from experimentation into business-critical production, organizations face growing pressure to control infrastructure costs while increasing performance and scale. GPUs represent one of the largest investments within an AI environment, yet their value is underutilized whenever they are left waiting for data. DDN and NVIDIA are addressing this challenge by helping data move more efficiently, allowing organizations to complete more AI work with the infrastructure, power, and data-center capacity they already have.
“AI success will increasingly be measured not by how much infrastructure an organization owns, but by how productively it uses that infrastructure,” said Sven Oehme, chief technology officer at DDN. “Our work with NVIDIA is focused on helping customers keep their GPUs working, accelerate time to insight, and improve the economics of AI at scale. By reducing the friction between compute and data, we can help organizations generate greater value from every accelerator, watt, and dollar invested.”
“AI factories are most productive when accelerated computing and high-performance data infrastructure work together seamlessly — and organizations that optimize that connection will scale faster and generate greater return on their AI investments,” said Jason Hardy, vice president, storage technology, NVIDIA. “Through the Storage-Next initiative, NVIDIA and DDN are collaborating to help customers strengthen that foundation and get more from their AI infrastructure at scale.”
Over the past several months, DDN’s Infinia research and development team has worked with NVIDIA to evaluate the technology. The collaboration has already produced working capabilities that demonstrate the potential to improve the efficiency and scalability of large AI environments.
The development builds on the distributed architecture of DDN Infinia, which is designed to support the performance, security, and scale required by AI factories, sovereign AI initiatives, research institutions, and enterprise AI deployments. For customers, the objective is straightforward: reduce data-related delays, increase infrastructure productivity, accelerate AI outcomes, and improve the overall economics of deploying AI at scale.
DDN and NVIDIA will continue collaborating to advance the technology and support its adoption across next-generation accelerated computing environments. Additional information about performance, customer benefits, and availability will be shared as development progresses.
Learn more about DDN at ddn.com.
About DDN
DDN is the world’s leading AI and data intelligence company, powering the world’s most demanding AI workloads by keeping GPUs fed, efficient, and productive—at massive scale—so organizations can train, checkpoint, and infer faster with less footprint and power while achieving tremendous ROI from their AI investments. From hyperscalers and next-gen cloud builders to enterprises, governments, and research institutions, DDN delivers proven data intelligence at exabyte scale across hundreds of thousands of GPUs—so customers can deploy AI with confidence, accelerate time-to-value, and realize outsized returns. Discover more at ddn.com.
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