en.Wedoany.com Reported - Data intelligence and storage company DDN (DataDirect Networks) is considering a new round of financing to more accurately reflect the value it provides to its customers. The Chatsworth, California-based vendor, according to Bloomberg, is planning to complete a potential funding round by the end of this year.

DDN CEO Alex Bouzari stated that this move aligns with the goal of "bringing smarter, more sophisticated, and more intelligent people into our circle." DDN focuses on providing high-performance data storage and management infrastructure designed to accelerate AI workloads. Its products include the software-defined data platform Infinia 2.0, which unifies AI datasets across on-premises, edge, and cloud environments. Another product, xFusionAI, integrates a high-speed parallel file system with elastic object storage into a single hardware platform, enabling users to train large models and run real-time inference using the same data pool.

In January, DDN secured approximately $300 million in financing from Blackstone, with the asset management giant valuing DDN at $5 billion at the time. Industry reports had previously suggested that the company was considering a potential initial public offering (IPO). Founded in the late 1990s, DDN has focused on supporting AI infrastructure in recent years, with clients including xAI and neocloud Lambda.

Earlier this month, DDN enhanced its AI data intelligence platform to support agentic workloads. The company adopted Nvidia's BlueField-4 STX reference architecture to help enterprise customers scale secure AI environments for training and inference. Powered by Nvidia accelerated computing, the DDN platform enables organizations to operate secure AI environments by combining high-performance data orchestration and multi-tenant isolation with real-time services optimized for training, inference, vector databases, retrieval-augmented generation (RAG) pipelines, and autonomous workflows. Prior to this agentic update, DDN's Lustre platform had added features allowing users to share key-value (KV) caches to accelerate AI inference workloads.

This product, co-managed by DDN and Google Cloud, uses a shared cache layer in inference clusters, replacing the approach of retaining KV caches in each server's local memory. DDN and its related hyperscaler partners claim this can boost total inference throughput by up to 75%.

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