Victoria Gayton
Latest from Victoria Gayton
AI infrastructure strategy is expanding beyond compute and storage specifications as artificial intelligence reshapes who manages enterprise applications and data. Infrastructure teams are increasingly being asked to support virtual machines, Kubernetes, graphics processing units and AI workloads together. That expansion is reshaping …
The packet path becomes the place to catch shadow AI before it spreads
Enterprise infrastructure software is being redrawn around a user that never sleeps, never logs off and can act thousands of times a minute. As autonomous agents move from pilots into production, the controls built for human employees are proving a poor fit …
Private cloud grows up as enterprises push AI into production
Enterprise infrastructure is being rebuilt around agentic AI, and the center of gravity is shifting back toward private environments where data, cost and control sit under one roof. As inference workloads scale, the questions facing information technology teams are less about model …
Workday rethinks the enterprise workflow for AI agents
Enterprise AI agents promise to simplify everyday work, but delivering that experience requires far more than embedding AI into existing enterprise applications. Enterprise AI has expanded well beyond chatbots and copilots into workflows that affect hiring, finance and other business operations. As …
AI inference gets a new tier as context windows grow
AI storage infrastructure is becoming a more consequential planning issue as organizations move from model training toward agentic AI. As agents reason, act and reassess, they build longer contexts and generate more data that they must access quickly during inference. Agentic AI …
Banco BS2 takes a foundation-first approach to scaling enterprise AI
Scaling enterprise AI depends on more than deploying intelligent agents. For Banco BS2, a Brasil-based digital bank, it begins with establishing the infrastructure, governance and operational discipline needed to support AI before expanding its use across the organization. Operating in Brasil’s highly …
Cisco and Nvidia take AI factories from rack to runtime
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 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
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
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 …