DDN introduced DDN Infinia 2.0, a software data platform that unifies global AI data in data centers and multi-clouds. Built on a proven, infinitely scalable architecture, Infinia 2.0 solves core challenges in AI data analytics, model training, inference, and boosts GPU efficiency, and minimizes power consumption. Independent benchmark tests indicate up to 100X improvement in AI data acceleration and 10X gain in data center and cloud cost efficiency.
“Infinia 2.0 represents a paradigm shift in how enterprises and cloud providers gain value from AI while safely managing and optimizing AI data workloads,” said Alex Bouzari, CEO at DDN. “85 of the Fortune 500 businesses run their AI and HPC applications on DDN’s Data Intelligence Platform. With Infinia, we accelerate customers’ data analytics and AI frameworks with orders of magnitude faster model training and accurate real-time insights while optimizing GPU efficiency and power usage. Infinia integrates seamlessly into cloud-native ecosystems, delivers the safest multi-tenancy, and mixes enterprise and cloud AI ROI without disrupting existing IT infrastructures.”
Adding further perspective, Paul Bloch, Co-founder and President of DDN, commented, “Whether you’re a CXO of an enterprise looking to kickstart and accelerate your AI initiatives or a data scientist seeking to supercharge AI applications with the most performant and scalable data fabric, DDN’s Infinia is the only answer. Our platform has already been deployed at some of the world’s largest AI factories and cloud environments, proving its capability to support mission-critical AI operations at scale.”
“Data is the lifeblood of AI, which is why enterprises need integrated, full-stack systems and software to drive modern applications,” said Charlie Boyle, vice president of DGX platforms at NVIDIA. “Combined with NVIDIA accelerated computing and enterprise software, platforms like DDN Infinia 2.0 provide businesses the infrastructure they need to put their data to work.”
“By combining DDN’s data intelligence platform Infinia 2.0 with Supermicro’s cutting-edge server workload-optimized solutions, the companies collaborated on one of the world’s largest AI data centers,” said Charles Liang, president and CEO at Supermicro. “The ease of the Infinia deployment was due to the close working relationship between Supermicro and DDN.”
Infinia 2.0 simplifies complexity, accelerates performance, and secures data at any scale while reducing power consumption and cooling needs in data centers by 10x. By unifying data operations and automating AI workflows, Infinia empowers organizations to unlock the full potential of their data, driving AI transformation, and success.
“AI workloads require real-time data intelligence that eliminates bottlenecks, accelerates workflows, and scales seamlessly in complex model listing, pre- and post-training, RAG, Agentic AI, Multimodal environments and inference,” said Sven Oehme, CTO at DDN. “Infinia 2.0 was designed to maximize AI value in these areas, while also delivering real-time data services, highly efficient multi-tenancy, intelligent automation, and a very powerful AI-native architecture. This is the future of AI data enablement.”
Infinia 2.0 addresses AI’s biggest challenges—complexity, performance, cost, and security— by delivering a unified data platform that seamlessly integrates AI inference, data analytics, and model preparation across core, cloud, and edge environments. It empowers enterprises to eliminate bottlenecks, maximize GPU efficiency, and enhance operational efficiency while ensuring data security and reliability at any scale. Core tenets of Infinia 2.0 include:
- Dynamic Data Services & Workflow Acceleration
- Unified AI Data Intelligence Platform
- Unrivaled Performance & Efficiency
- Sustainable, Cost-Effective AI
- Proven, Trusted Reliability & Security at Any Scale
These tenets create a platform optimized for AI operations by maximizing performance, enhancing data security, and reducing complexity and cost, empowering organizations to unlock the full potential of their data and drive AI innovation and success.
