AI infrastructure shifts focus from chips to data pipelines and system design

The race to build artificial intelligence infrastructure has moved beyond the pursuit of faster processors. The real constraint now lies in delivering data to those processors reliably, maintaining high-speed connections between components, and keeping systems within acceptable thermal and power budgets. This shift toward systems-level optimization will be examined at the AI Data Pipeline Forum in San Jose, California, held alongside the OCP Global Summit.

TheCUBE, the livestreaming operation of SiliconANGLE Media, will broadcast coverage of the event on October 13, with John Furrier, executive analyst at theCUBE Research, serving as host. The forum convenes technology industry figures to discuss the structural changes needed to support dense clusters of AI hardware and geographically distributed inference systems.

The evolution in how companies approach AI infrastructure reflects a fundamental reorientation. Rather than perfecting individual components in isolation, the industry is now focused on orchestrating entire ecosystems. As data centers grow more tightly integrated, the flow of information across storage, compute and network layers has emerged as a central architectural concern. This shift is generating fresh requirements across storage systems, memory hierarchies, networking equipment and the physical infrastructure itself.

Companies like ScaleFlux Inc., which specializes in storage and memory controller technology, and Dell Technologies Inc. are among those working to overcome data movement limitations as AI workloads demand more memory resources. Both are developing solutions aimed at improving how data travels through increasingly complex hardware stacks.

System-level design becomes critical as AI workloads scale

As inference operations grow in scope, the efficiency with which data moves through sophisticated hardware configurations is becoming a key metric for evaluating AI infrastructure performance.

Dave Vellante, chief analyst at theCUBE Research, recently published analysis identifying memory bottlenecks, inefficient data movement patterns and the economics of inference as escalating problems. Storage is taking on an expanded role within the broader AI data pipeline, according to this assessment.

These pressures are reshaping how semiconductor companies design their products. ScaleFlux unveiled new PCIe Gen6 SSD and CXL memory controllers in July, engineered to boost data throughput and expand memory capacity while keeping power draw in check.

AI infrastructure is driving unprecedented demand for higher bandwidth, greater memory capacity, and lower power consumption. With the introduction of FC6116 and MC600, ScaleFlux is extending its silicon platform into the PCIe Gen6 era, giving customers the building blocks to design faster, more efficient, and more flexible storage and memory systems.

Hao Zhong, co-founder and chief executive officer of ScaleFlux

The challenge encompasses more than just moving data efficiently. Thermal management and electrical power distribution must also scale to handle denser hardware configurations, making modular approaches and coordinated system engineering increasingly vital.

You have data centers that require cooling coming in from the top, cooling coming from the bottom. You have power whips of various sizes. We have learned now to build modular rack-scale infrastructure that can quickly adapt to all of these needs.

Sarat Krishnan, director of PowerEdge AI architecture and systems development engineering at Dell

These trends will form the foundation for discussions at the AI Data Pipeline Forum, where participants will examine how standardized approaches and modular infrastructure design can support emerging AI systems without creating new constraints.

Event coverage and access

TheCUBE will livestream its coverage of the AI Data Pipeline Forum on October 13, with on-demand access to exclusive content available after the broadcast concludes.

Viewers can access theCUBE's reporting through its dedicated website and YouTube channel, with additional coverage available on SiliconANGLE. The "theCUBE Pod" podcast, featuring John Furrier and Dave Vellante discussing major developments in enterprise technology, is available on Apple Podcasts, Spotify and YouTube. SiliconANGLE also produces "Breaking Analysis," a weekly program where Vellante reviews top enterprise technology stories using insights from theCUBE combined with spending data from Enterprise Technology Research, distributed across Apple Podcasts, Spotify and YouTube.

Scheduled participants

During theCUBE's October 13 coverage, Furrier will conduct interviews with executives from ScaleFlux, Cerebras, Cisco, Dell and other companies. The conversations will focus on how these organizations are tackling AI infrastructure constraints through innovations in storage, memory, high-speed networking, liquid cooling and power delivery systems. Discussions will also explore the role of open standards and modular design patterns in enabling data centers to support increasingly dense AI deployments and distributed inference operations.