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<\/a><\/a>\nThe announcements include the launch of the new AI400X3M high-performance appliance, the official release of DDN\u2019s distributed KV Cache acceleration technology integrated with NVIDIA Dynamo<\/a>, and new security, observability, and infrastructure efficiency enhancements for large-scale AI environments.<\/p> \nAs organizations race from AI pilots to production-scale AI operations, DDN is addressing the industry\u2019s most critical bottlenecks across the entire AI data pipeline \u2014 from data ingestion and preparation to training, inference, RAG, and agentic AI. The company\u2019s latest innovations are designed to maximize GPU utilization, accelerate inference performance, reduce infrastructure complexity, and significantly improve AI economics by lowering cost per token and increasing tokens-per-watt efficiency across enterprise AI factories.<\/p> \n\u201cAI infrastructure is no longer just about compute. The economic success of AI depends on how efficiently organizations move, manage, secure, and operationalize data across the entire AI lifecycle,\u201d said Alex Bouzari, CEO and Co-Founder at DDN. \u201cAt ISC 2026, DDN is introducing the next generation of AI data intelligence innovations designed to help customers maximize GPU utilization, reduce inference costs, accelerate time-to-token, and improve the overall economics of AI factories at massive scale.\u201d<\/p> \nIntroducing the AI400X3M: Extreme Performance Density for AI and HPC<\/b><\/p> \nLeading the announcements is the new DDN AI400X3M appliance, the latest evolution of DDN\u2019s industry-leading EXAScaler platform.<\/p> \nDesigned for the most demanding AI and HPC environments, the AI400X3M delivers:<\/p> \nThe AI400X3M enables enterprises, sovereign AI programs, and cloud providers to dramatically increase infrastructure efficiency while reducing power, cooling, and operational costs.<\/p> \nGeneral availability is expected by the end of Q3 2026.<\/p> \nOfficial Launch of DDN KV Cache Acceleration with NVIDIA Dynamo Integration<\/b><\/p> \nFollowing its preview at GTC 2026, DDN also announced the official launch of its distributed KV Cache acceleration architecture integrated with NVIDIA Dynamo and available across DDN Infinia and EXAScaler AI data platforms.<\/p> \nThe solution dramatically accelerates large-scale AI inference by eliminating memory bottlenecks and enabling ultra-fast retrieval of model context directly from DDN\u2019s AI-native data intelligence platform.<\/p> \nKey capabilities include:<\/p> \nBy moving KV cache closer to the data layer and reducing memory and networking bottlenecks, DDN enables enterprises and cloud providers to dramatically increase inference efficiency while reducing power consumption and infrastructure overhead associated with large-scale generative AI deployments.<\/p> \nAccelerating the AI Data Pipeline from Training to Inference<\/b><\/p> \nDDN\u2019s latest innovations extend across the full AI data pipeline, helping enterprises operationalize AI faster and more efficiently from data preparation and model training to inference, RAG, reasoning, and agentic AI workflows.<\/p> \nDDN Infinia delivers AI-native object storage engineered specifically for modern inference and retrieval-intensive workloads, providing ultra-low latency metadata performance, massive concurrency, and high-speed object access required for enterprise-scale AI factories. Combined with EXAScaler\u2019s industry-leading parallel file system performance for training and checkpointing, DDN enables organizations to unify AI data infrastructure across the entire AI lifecycle.<\/p> \nThis architecture allows customers to eliminate data silos, maintain consistently high GPU utilization, accelerate time-to-first-token, and optimize AI infrastructure economics at scale.<\/p> \nAdditional Enterprise AI Infrastructure Enhancements<\/b><\/p> \nDDN also introduced several platform enhancements focused on security, enterprise AI operations, multi-tenancy, and infrastructure observability, including:<\/p> \nThe updates are designed to help enterprise, sovereign, and cloud AI operators improve workload isolation, governance, visibility, and infrastructure efficiency across production AI environments.<\/p> \nExpanding Cloud AI Momentum with Managed Lustre and Salesforce<\/b><\/p> \nDDN also highlighted continued momentum in cloud AI infrastructure, including new Managed Lustre innovations announced alongside Google Cloud Next and a new Salesforce deployment<\/a> showcasing enterprise-scale AI performance and operational efficiency.<\/p> \nThe announcements further validate DDN\u2019s leadership in enabling AI-native cloud architectures optimized for large-scale enterprise inference, RAG, and AI training workloads.<\/p> \nDDN\u2019s work helping Salesforce clear data bottlenecks offers a clear example of that momentum in action. With Google Cloud Managed Lustre, powered by DDN EXAScaler, Salesforce achieved 1.5x faster model training, a 75% reduction in I\/O latency, and a 42% reduction in training costs. The results demonstrate how DDN is helping enterprise customers remove data bottlenecks and unlock greater productivity from every GPU, reducing the cost of AI while accelerating time to insight. As AI moves from experimentation to enterprise-scale deployment, DDN is providing the data intelligence foundation organizations need to maximize performance, efficiency, and return on AI investment.<\/p> \nView the case study<\/a> to learn more.<\/p> \nPowering the World\u2019s Largest AI Factories<\/b><\/p> \nDDN\u2019s AI data intelligence platform powers many of the world\u2019s largest and most advanced AI environments, including deployments supporting hyperscalers, sovereign AI initiatives, cloud providers, research institutions, and enterprise AI factories operating at massive GPU scale.<\/p> \nBy combining ultra-high-performance data infrastructure, AI-native orchestration, inference acceleration, observability, and operational efficiency, DDN continues to define the future of AI data intelligence \u2014 enabling organizations to build AI factories that maximize GPU ROI, reduce cost per token, and accelerate business outcomes across the full AI lifecycle.<\/p> \nFor more information, visit ddn.com<\/a>.<\/p> \nAbout DDN<\/b><\/p> \nDDN is the world\u2019s leading AI and data intelligence company, powering the world\u2019s most demanding AI workloads by keeping GPUs fed, efficient, and productive\u2014at massive scale\u2014so 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\u2014so customers can deploy AI with confidence, accelerate time-to-value, and realize outsized returns. Discover more at ddn.com<\/a>.<\/p> \nFollow DDN: <\/b>LinkedIn<\/a>, X<\/a>, and YouTube<\/a><\/p> \nDDN Media Contact:<\/b><\/p>\n
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