Victoria Gayton

Victoria is a field editor for theCUBE, SiliconANGLE Media's livestreaming studio. As a writer for IBM Global Services, she produced thought-leadership white papers on diverse topics, ranging from internet security to AI to cloud computing, for nearly two decades. Today, Victoria's enthusiasm for exploring and writing about emerging technologies continues unabated. In her spare time, she works with an animal rescue group, listens to podcasts that inspire her and prepares (easy) recipes that make her seem like a far better cook than she is.

Latest from Victoria Gayton

Three insights you may have missed from theCUBE’s coverage of the AMD Advancing AI event

AI By VICTORIA GAYTON1 MONTH AGO

The momentum behind full-stack AI infrastructure reflects a broader shift in enterprise thinking. The value of AI now comes from integrated systems — not isolated accelerators — and from the ability to shape intelligence around how people actually work. That shift was a …

Inside Cisco’s approach to edge AI: Tune in to theCUBE on July 29

AI By VICTORIA GAYTON1 MONTH AGO

Organizations are expanding their use of edge AI infrastructure as workloads move beyond traditional data centers, creating new demands on systems designed for an earlier era of computing. Cisco Systems Inc.’s Unified Edge platform, winner of the 2026 Tech Innovation CUBEd Award …

Three insights you may have missed from theCUBE’s coverage of RAISE Summit

AI By VICTORIA GAYTON2 MONTHS AGO

Agentic inference is reshaping the center of gravity in artificial intelligence infrastructure. What began as a race to scale training has shifted into a phase defined by expanding context windows, memory‑augmented reasoning and the need to keep graphics processing units continuously fed …

Three insights you may have missed from theCUBE’s coverage of the ‘Scaling the Agentic Era’ event

AI By VICTORIA GAYTON2 MONTHS AGO

As artificial intelligence agents move from proof-of-concept tools to production systems, the cost of every generated token is becoming a direct business concern. The shift is pushing infrastructure providers to focus not just on raw performance, but on efficiency, throughput and the …

What to expect at the AMD Advancing AI event: Join theCUBE July 22-23

AI By VICTORIA GAYTON2 MONTHS AGO

Enterprise artificial intelligence infrastructure has become as critical to AI success as the models themselves. As organizations move AI into production, attention is increasingly shifting toward the infrastructure, software and ecosystems required to support deployment at scale. Those themes are reflected across …

Three insights you may have missed from theCUBE’s coverage of Pure Accelerate

AI By VICTORIA GAYTON2 MONTHS AGO

As enterprises advance their artificial intelligence initiatives, they’re discovering that the real constraint isn’t model sophistication — It’s data. AI outcomes now depend on whether organizations can access, mobilize and operationalize data as an active system rather than a passive repository. This shift …

Three insights you may have missed from theCUBE’s coverage of FinOps X

AI By VICTORIA GAYTON3 MONTHS AGO

AI costs are becoming one of the most difficult aspects of enterprise AI adoption. Unlike traditional cloud or software-as-a-service spend, AI costs are shaped by dynamic usage patterns, model behavior and external interactions, making it harder to keep investments aligned with business …

Three insights you may have missed from theCUBE’s coverage of Snowflake Summit

AI By VICTORIA GAYTON3 MONTHS AGO

If the first wave of enterprise artificial intelligence was about compute and foundation models, the next is shaping up to be about the software and data infrastructure needed to make those models useful in real businesses. The first AI winners sold compute: …

What to expect during Nutanix .NEXT: Join theCUBE April 7-8

AI By VICTORIA GAYTON5 MONTHS AGO

Artificial intelligence workloads are scaling rapidly across enterprise environments, putting infrastructure under increasing pressure to keep pace. As organizations push further into production, enterprise AI infrastructure is emerging as a key layer for managing how applications, data and compute come together to …

The new control plane: How the cloud-native ecosystem is shaping production AI

CLOUD NATIVE By VICTORIA GAYTON6 MONTHS AGO

The era of artificial intelligence experimentation is giving way to the realities of production infrastructure. As enterprises move past early large language model deployments, the conversation in the cloud-native ecosystem is shifting from what these models can do to how they can …

Victoria Gayton

Latest from Victoria Gayton

Three insights you may have missed from theCUBE’s coverage of the AMD Advancing AI event

Inside Cisco’s approach to edge AI: Tune in to theCUBE on July 29

Three insights you may have missed from theCUBE’s coverage of RAISE Summit

What to expect at the AMD Advancing AI event: Join theCUBE July 22-23

Three insights you may have missed from theCUBE’s coverage of Pure Accelerate

Three insights you may have missed from theCUBE’s coverage of Snowflake Summit

What to expect during Nutanix .NEXT: Join theCUBE April 7-8

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