DDN Unveils Infinia 2.4 at RAISE, Establishing an Enterprise Foundation for Production AI, Inference Economics, and Sovereign AI Factories

New release delivers enterprise-grade multi-tenancy, identity management, security and POSIX capabilities required to move AI from pilots to large-scale production

PARIS--(BUSINESS WIRE)--DDN, the global leader in AI and data intelligence solutions, today announced the launch of DDN Infinia 2.4 at the RAISE Summit in Paris, extending the industry's leading platform for production AI, large-scale inference, and sovereign AI infrastructure.

As AI moves from training models to operating intelligent systems in production, enterprises face a new challenge: maximizing the economic return of AI infrastructure investments. The bottleneck is no longer acquiring GPUs—it is keeping those GPUs productive, reducing cost-per-token, accelerating inference, and securely governing data across multi-tenant AI environments.

Infinia 2.4 establishes the enterprise-grade foundation required to run AI factories at scale, combining production-ready multi-tenancy, identity management, governance, and security with the high-performance data architecture that powers some of the world's largest AI deployments.

By enabling higher GPU utilization, faster data access, improved inference efficiency, and simplified operational management, Infinia 2.4 supports NVIDIA DSX-based AI factory deployments by helping organizations accelerate time to value while improving the return on billions of dollars invested in AI infrastructure.

"The economics of AI are rapidly becoming more important than the models themselves," said Alex Bouzari, CEO and Co-Founder at DDN. "The industry has entered an era where success is measured by cost-per-token, inference efficiency, GPU utilization, and business outcomes—not simply the number of GPUs deployed. Organizations need infrastructure that transforms expensive AI investments into productive AI factories. Infinia 2.4 provides the governance, security, performance, and operational foundation required to maximize AI ROI while enabling the next generation of enterprise and sovereign AI."

Accelerating Inference Economics and Token Efficiency

As enterprises increasingly deploy agentic AI, retrieval-augmented generation (RAG), copilots, and autonomous AI systems, inference has emerged as the dominant operational cost in modern AI environments.

Infinia's architecture is designed to optimize the economics of production inference through ultra-low-latency data access, high-performance object storage, and intelligent data services that help keep accelerators fully utilized.

DDN continues to lead innovation in AI data infrastructure through capabilities such as:

• High-performance distributed KV Cache acceleration
• Sub-millisecond access to AI datasets and model artifacts
• Massive concurrency for multi-tenant inference environments
• Optimized support for RAG, vector databases, agentic AI, and large-scale inference workloads
• Improved GPU utilization and reduced infrastructure waste

These capabilities help organizations reduce cost-per-token, improve inference throughput, accelerate response times, and generate greater business value from AI investments.

Introducing the Enterprise Foundation for AI

Infinia 2.4 focuses on four strategic pillars designed to help organizations operationalize AI at scale:

AI Cloud Partner and AI Operator Readiness

The release introduces foundational capabilities required by many of NVIDIA’s cloud partners, managed AI services operators, and enterprise AI platforms, including:

• Advanced multi-tenancy
• Identity integration and management
• Quota enforcement and governance controls
• Enhanced operational isolation for shared AI environments

These capabilities allow organizations to securely support multiple teams, customers, business units, or sovereign AI workloads from a single platform.

POSIX Support Reaches Limited Availability

Infinia 2.4 delivers the first Limited Availability milestone for POSIX support, including:

• POSIX client qualification on Red Hat Enterprise Linux and Ubuntu
• Defined throughput commitments
• Documented deployment guidance and operational parameters

This milestone expands application flexibility while maintaining Infinia's high-performance architecture for modern AI and data-intensive workloads.

S3 Compatibility and Continuity

Organizations can adopt Infinia 2.4 without disruption to existing applications and workflows. The release maintains full compatibility with established S3 environments and SDKs while preserving the performance and scalability advantages that enterprises rely on today.

Driving the Future of Enterprise and Sovereign AI

The launch comes as DDN expands its leadership position across hyperscale AI, enterprise AI, inference infrastructure, and sovereign AI initiatives worldwide.

Organizations including NVIDIA, xAI, Salesforce, Mistral, SK Telecom, Yotta, and leading government and research institutions rely on DDN technology to power some of the world's largest AI environments, achieving higher infrastructure utilization, faster model deployment, improved inference efficiency, and greater returns on AI investments.

At RAISE, DDN executives will share insights on the next phase of AI infrastructure evolution and the growing importance of data intelligence in enabling enterprise and sovereign AI initiatives.

DDN Executive Keynotes at RAISE

As part of RAISE 2026, DDN executives will take center stage to discuss two of the most important forces shaping the future of artificial intelligence: the economics of AI and the rise of sovereign AI infrastructure.

Alex Bouzari

CEO & Co-Founder, DDN
July 8 | 1:20 PM – 2:00 PM
The AI Gold Rush: Models Are Shovels, Data Is the Gold

In this keynote, Alex Bouzari will explore why the next phase of AI competition will be determined not by who builds the largest models, but by who can most effectively harness, govern, and operationalize data. As organizations invest billions in AI infrastructure, the critical challenge has shifted from acquiring compute to maximizing its economic value.

Drawing on DDN's experience powering some of the world's largest AI factories, Bouzari will discuss why inference economics, token efficiency, GPU utilization, and data intelligence are becoming the defining metrics of enterprise AI success, and why the next generation of AI leaders will be determined by operational efficiency rather than model size alone.

Mohsen Moazami

Vice Chair, DDN
July 8 | 2:00 PM – 2:40 PM
Sovereign Stacks: Building Trusted AI on National Terms

As nations increasingly view AI as a strategic capability, governments and enterprises are seeking new approaches to maintain control over their data, infrastructure, and innovation ecosystems. In this keynote, Mohsen Moazami will examine the emergence of sovereign AI and the technology foundations required to build trusted, secure, and economically sustainable national AI capabilities.

The session will explore how countries, enterprises, and service providers are developing sovereign AI strategies, the importance of trusted infrastructure and data governance, and why sovereign AI is becoming a defining factor in global competitiveness and technological independence.

Meet DDN at RAISE

DDN executives, technical leaders, and collaborators will be available throughout RAISE to discuss the future of AI factories, sovereign AI infrastructure, enterprise AI deployment, and the capabilities introduced with Infinia 2.4.

For more information about DDN Infinia and DDN's AI Data Intelligence Platform, visit DDN at RAISE or visit https://www.ddn.com/lp/events/raise-2026/book-a-meeting/.

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 millions 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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