F5 and Scality Expand Partnership to Tackle AI's Data Infrastructure Crisis

SEATTLE and SAN FRANCISCO – February 18, 2026 – Application security leader F5 and cyber-resilient storage provider Scality today announced an expanded partnership aimed at solving one of the most significant challenges in the artificial intelligence revolution: the data infrastructure bottleneck. The collaboration integrates F5’s Application Delivery and Security Platform with Scality’s highly scalable, S3-compatible object storage, creating a unified architecture designed to deliver fast, secure, and resilient data access for demanding AI workloads across on-premises and hybrid-cloud environments.

The AI Data Dilemma: A Growing Infrastructure Crisis

As enterprises race to adopt AI and generative models, they are colliding with a stark reality: traditional IT infrastructure is ill-equipped to handle the unprecedented data demands. Industry analysts have repeatedly warned that data bottlenecks are the "silent killer" of AI initiatives. Even the most powerful and expensive GPU clusters are rendered ineffective if the underlying data pipelines cannot feed them fast enough, leading to costly idle cycles and stalled projects.

The challenges are multi-faceted. AI training and inference workflows require both massive throughput—often hundreds of gigabytes per second—and predictable latency to process vast datasets of text, images, and video. Storage systems must scale seamlessly from terabytes to petabytes and even exabytes without performance degradation. This exponential data growth overwhelms legacy storage systems, creating performance chokepoints that cripple AI development.

Furthermore, the data powering these advanced models is often an organization's most valuable and sensitive asset, making it a prime target for cyberattacks. Protecting this data requires a sophisticated, multi-layered security strategy that encompasses everything from encryption and access control to robust defense against denial-of-service attacks. Many organizations find their existing security postures are not prepared for the unique threat landscape surrounding AI applications. These mounting pressures for performance, scale, and security are forcing a fundamental rethink of enterprise data architecture, creating a critical need for pre-validated, AI-ready solutions.

A Unified Architecture for Secure AI Data Delivery

The F5 and Scality partnership aims to provide a practical blueprint for this new data architecture. The joint solution creates a resilient and high-performance S3 environment by integrating F5's BIG-IP platform with Scality's RING object storage, addressing the data delivery lifecycle from the network edge to the storage core.

At the heart of the integration is F5’s ability to intelligently manage S3 traffic. The platform routes and load-balances requests across Scality storage nodes and even across geographically distributed sites. This use of precise DNS control and advanced traffic management eliminates single points of failure and ensures that AI applications receive data with optimal speed and reliability. By offloading TLS encryption and leveraging hardware-accelerated cryptography, the solution also minimizes performance overhead on the storage system.

“AI workloads place unprecedented demands on infrastructure, particularly when it comes to moving, protecting, and accessing data at scale,” said John Maddison, Chief Marketing Officer at F5. “By combining F5’s application delivery, traffic management, and security capabilities—all within the F5 Application Delivery and Security Platform—with Scality’s proven object storage platform, we’re giving customers a powerful foundation for building AI-ready environments that deliver consistent performance, high availability, and strong security, wherever their data and applications reside.”

This traffic optimization is layered on top of Scality RING, a software-defined storage platform designed for petabyte-scale durability and cyber-resilience. RING’s self-healing capabilities and enterprise-grade data protection are further strengthened by F5's security services, including a web application firewall (WAF) to inspect traffic for threats, comprehensive DDoS protection, and granular, policy-driven access controls to safeguard data in transit.

“Enterprises adopting AI need data infrastructure that grows seamlessly without compromising cyber resilience, data protection, or uptime,” said Paul Speciale, Chief Marketing Officer at Scality. “With this validated architecture, F5 and Scality provide customers a practical, high-performance path to secure S3 access across distributed environments, accelerating AI and analytics while simplifying how teams deliver, protect, and operate data at scale.”

Navigating a Competitive and Complex Market

The F5-Scality offering enters a competitive market where enterprises are weighing various approaches to building their AI infrastructure. Large, integrated hardware vendors offer comprehensive, single-vendor stacks, while public cloud providers like AWS, Azure, and Google Cloud provide a vast suite of native AI and storage services.

The partnership’s "better together" strategy carves out a distinct position by combining two best-of-breed specialists. It is designed for organizations that require the enterprise-grade control and robust security of on-premises or hybrid-cloud deployments, rather than committing fully to a single public cloud ecosystem. This approach provides flexibility for managing sensitive data, complying with data sovereignty regulations, or optimizing costs by avoiding potential cloud egress fees associated with large-scale data movement.

By focusing specifically on optimizing the S3 protocol—the de facto standard for modern analytics and AI data access—the collaboration provides a level of specialized performance and security that is often difficult to achieve with general-purpose infrastructure. This validated design promises to simplify deployment and reduce the operational burden on IT teams, allowing them to focus on deriving value from their data rather than managing complex infrastructure integrations.

The solution supports a wide range of use cases critical to the modern enterprise, including AI and machine learning model training, multi-site disaster recovery, building hybrid storage architectures, and ensuring secure, long-term data retention for compliance. Ultimately, the partnership seeks to lower the total cost of ownership for data-driven initiatives by improving operational efficiency and providing a scalable foundation that can evolve with an organization's AI strategy. This allows businesses to confidently scale their most ambitious projects without hitting an infrastructure wall.