Wide-ranging software updates from IBM are aimed at helping enterprises scale their AI operations faster and stay on top of emerging quantum risks.
AI clusters require top-notch connectivity components given that a single slow GPU link or failed connection can significantly impede performance.
IBM Network Intelligence uses AI to gather network telemetry and agents to help with reasoning, root-cause analysis and remediation.
Cisco software includes a compiler that enables quantum workloads to run in distributed environments, including multivendor quantum compute nodes.
Traditional attempts to merge IT/OT threat detection, network segmentation, and secure remote access are impractical in today’s world, Cisco exec says.
Arista executives discuss liquid-cooled networking gear and support for Linear Pluggable Optics to achieve power and cost optimization for AI data centers.
AI adoption is accelerating among mainframe users, and it’s spurring increased usage of the big iron platform, according to Kyndryl’s annual State of Mainframe Modernization Survey.
Cisco says the integrated package will enable fast data extraction and retrieval to unlock agentic AI use cases for enterprises.
Large-scale AI workloads, with their high-bandwidth and low-latency requirements, are reshaping data center network architecture, Nvidia says.
IBM and AMD want to develop hybrid computing resources for advanced quantum algorithms.
