Victoria Gayton
Latest from Victoria Gayton
Physics AI is bringing a new approach to semiconductor engineering, where increasingly complex designs make physical behavior harder to predict. Advanced accelerators combine multiple chips, memory and packaging components, creating tightly coupled engineering challenges. Vinci4D Inc. uses physics AI to bring simulation …
IBM ties intelligent operations to agent safety and business value
Intelligent operations begin with a business question: What should artificial intelligence help an enterprise accomplish? As agents take on more work, organizations need an operating model that connects their actions to customer outcomes, infrastructure dependencies and financial accountability. IBM Corp.’s approach brings …
Deliverance AI puts sovereign AI control to the continuity test
Sovereign AI control is becoming a business continuity issue as autonomous agents take on essential enterprise workflows. Keeping data within national boundaries addresses part of the challenge, but organizations also need control over agent behavior, external dependencies and the economics of keeping …
IBM connects enterprise AI orchestration to production readiness ahead of TechXchange
Enterprise AI orchestration must account for agents working across the data, applications and infrastructure businesses already use. As organizations move beyond experiments, running those systems consistently brings questions of access, oversight and operational control into sharper focus. Those deployment challenges will help …
Three key insights you may have missed from theCUBE’s coverage of the Supermicro Open Storage Summit interview series
AI storage strategy is taking on a larger role as enterprises move from successful experiments to systems that must deliver dependable business results. How organizations store, serve and manage data increasingly shapes the performance, cost and practicality of artificial intelligence deployments. The …
AI infrastructure reliability moves beyond the rack
AI infrastructure reliability depends on how well compute, networking, power and cooling operate together. Turning early hardware breakthroughs into repeatable deployments requires coordination across engineering, manufacturing and operations. Dell Technologies Inc.’s partnership with CoreWeave Inc. has helped it adapt successive generations of …
What to expect during the AI Cybersecurity and Resilience Summit
AI trust increasingly determines whether enterprise AI scales. As organizations move beyond pilots and put models and agents into operational systems, the question is no longer whether AI performs well in isolation. Enterprises also have to determine whether the infrastructure, data and …
Nvidia and CoreWeave tackle the CPU bottleneck in agentic AI infrastructure
Agentic AI infrastructure must support the work between a model’s decisions as agents move from answering questions to executing tasks. Central processing units handle much of that execution, while graphics processing units power model reasoning. Those complementary roles shape Nvidia Corp.’s planned …
CrowdStrike and CoreWeave bring AI security to machine speed
AI-native cybersecurity requires defenses that can keep pace with attackers while protecting infrastructure that never stops running. That challenge is bringing security expertise and specialized computing closer together, with automation embedded throughout the systems enterprises use to train and run models. CrowdStrike’s …
IBM and CoreWeave co-design controls for agent workloads
Agent workload isolation is becoming a practical infrastructure challenge as research teams move beyond training models to running code and testing agents. Systems built for intensive computation must now accommodate workloads that interact with tools, storage and other services. IBM Research’s infrastructure …