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

Cisco and Nvidia take AI factories from rack to runtime

INFRA By VICTORIA GAYTON2 MONTHS AGO

AI factories are moving from ambitious plans toward production, but the path from graphics processing unit acquisition to usable systems remains a race against time. Neoclouds already have customers waiting for capacity, enterprises are looking to bring inference workloads closer to home …

The AI inference race moves beyond GPUs to reshape data center infrastructure

AI By VICTORIA GAYTON2 MONTHS AGO

AI inference infrastructure is becoming a system-level challenge as organizations move generative and agentic applications into production. Graphics processing unit performance remains essential, but storage latency, network bandwidth, data movement and power consumption increasingly determine the cost and speed of producing tokens. …

Three insights you may have missed from theCUBE’s coverage of Black Hat USA

AI By VICTORIA GAYTON2 MONTHS AGO

Cyber resilience is becoming a business imperative as AI accelerates attacks, expands the enterprise attack surface and gives autonomous systems greater access to sensitive data and critical operations. Preventing every disruption is no longer a realistic measure of security success, even for …

Three insights you may have missed from theCUBE’s coverage of the Neo4j GraphTalk event

AI By VICTORIA GAYTON2 MONTHS AGO

Graph intelligence is fast becoming the enterprise’s missing connective tissue — the knowledge layer that lets models move from clever prototypes to reliable, decision‑grade systems. By preserving relationships across fragmented data, it gives artificial intelligence the context needed to produce more accurate …

Agentic AI infrastructure shifts enterprise focus from model choice to platform control

AI By VICTORIA GAYTON2 MONTHS AGO

As agentic AI infrastructure moves from experimentation into production, enterprises are confronting a more complex question than which model to use: how to control the cost, data exposure and infrastructure supporting production AI applications. That shift is pushing organizations to rethink how …

Real-time tax compliance puts agentic AI accuracy to the test

AI By VICTORIA GAYTON2 MONTHS AGO

AI-powered tax compliance has to meet a standard that many artificial intelligence applications don’t: The answers must be exactly right. While large language models can generate unpredictable results, tax calculations require accuracy, speed and reliability across thousands of jurisdictions. That tension has …

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

AI By VICTORIA GAYTON3 MONTHS 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 GAYTON3 MONTHS 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 GAYTON3 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 GAYTON4 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 …

Victoria Gayton

Latest from Victoria Gayton

Cisco and Nvidia take AI factories from rack to runtime

Three insights you may have missed from theCUBE’s coverage of the Neo4j GraphTalk event

Agentic AI infrastructure shifts enterprise focus from model choice to platform control

Real-time tax compliance puts agentic AI accuracy to the test

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

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