Victoria Gayton
Latest from Victoria Gayton
Unified application intelligence reshapes how enterprises run mixed workloads
Infrastructure strategy is tilting toward unified application intelligence as enterprises try to keep up with increasingly mixed workloads across data centers and public clouds. Hybrid patterns are now the norm rather than the exception, and organizations are looking for ways to run virtual machines, containers and serverless side by side without multiplying complexity, according to Sudeep ...
What to expect during Microsoft Ignite: Join theCUBE Nov. 20
The infrastructure conversation is shifting. For years, organizations treated content management as a storage problem: more capacity, better organization and faster retrieval. But as AI agents move from experimentation into operational roles, the challenge isn’t just holding information anymore. It’s about infrastructure that knows what it contains, understands context without constant human curation and serves ...
Representation takes center stage as Merge Forward amplifies underrepresented voices in open-source communities
Open-source communities have spent years building powerful technology platforms, but tech community accessibility extends far beyond code. Creating truly inclusive spaces means addressing the full spectrum of human experience — from neurodiversity to communication needs — and ensuring that underrepresented voices shape the solutions designed to support them. Merge Forward, a new coalition launched two ...
Red Hat’s agentic AI strategy tackles enterprise AI ROI challenges
Enterprises have spent the past year spinning up artificial intelligence pilots, watching costs spiral and wondering when proof-of-concept magic will translate into production value. The gap between experimental models and scalable enterprise AI deployment has become an expensive problem with no clear path forward. Red Hat Inc.’s latest platform release targets that bottleneck head-on, emphasizing ...
Scaling smarter: Nvidia and Portworx advance self-service data management for Kubernetes
In enterprise R&D environments, teams need self-service infrastructure that scales without friction, enabling thousands of developers to spin up resources, test at velocity and meet deadlines without waiting on tickets or risking downtime. Nvidia Corp.’s platform engineering teams support chip design, firmware development and AI training workloads across on-premises and cloud Kubernetes clusters, all operating ...
Three insights you might have missed from theCUBE’s coverage from Nvidia’s GTC Washington, D.C. event
Enterprise infrastructure is no longer measured in servers or racks but in the architectural decisions that determine what those systems can accomplish at scale. As organizations race to deploy artificial intelligence workloads, the question is less about acquiring technology and more about integrating it through reference architectures that support rapid iteration without forcing teams to ...
The modernization mandate: Inside Dell and AMD’s new playbook
The modernization mandate is clear: Enterprise IT can no longer wait. Disruptive workloads and brittle legacy systems are forcing companies to act fast, with many now searching for tools that can support a next-generation AI architecture and redefine the data center. The nearly 20-year alliance between Dell Technologies Inc. and Advanced Micro Devices Inc. has ...
What to expect during SC25: Join theCUBE Nov. 18-20
Exascale computing systems are no longer theoretical milestones on research roadmaps. They’re operational infrastructure handling workloads that stress every layer of the stack, from interconnects to observability tooling. The challenge isn’t just building faster processors or denser storage; it’s ensuring that the infrastructure meant to secure and monitor these exascale platforms doesn’t become the bottleneck. ...
How business insights are reshaping decision-making in defense operations
Even the largest institutions can lose sight of how systems actually function. Business insights — the ability to understand how operations actually run, not just how they’re designed to — has become increasingly essential for complex organizations. That lack of internal visibility, especially in environments as wide-ranging as the U.S. Army and Department of War, ...
Inside the enterprise AI wall: Building context for real impact
Enterprise technology projects are stalling, and the problem isn’t a lack of capability. Companies deploy sophisticated AI agents only to watch them fail in isolation, disconnected from the messy, multi-system reality of how work actually happens. The missing ingredient isn’t more advanced algorithms, but operational context that bridges siloed systems and fragmented workflows, according to ...