Cisco, today, unveiled a unified quantum networking software stack that enables quantum computers to work together as one system, overcoming the hardware limitations of today’s machines. This enables ...

Cisco introduces the industry’s first distributed quantum compiler, eavesdropper-proof security demo, and entanglement-based coordination tools to advance real-world use cases. Riyadh, Saudi Arabia – ...

(MENAFN- Weber Shandwick) Riyadh, Saudi Arabia – October 7th, 2025 – Cisco, today, unveiled a unified quantum networking software stack that enables quantum computers to work together as one system, ...

46 followers United States of America https://www.cisco.com/c/en/us/solutions/design-zone/data-center-design-guides.html ucssolutions-github-admins@cisco.com ...

The latest chip that’s part of the Cisco Silicon One portfolio comes as AI places new and unprecedented demands on the data center, according to the tech giant. With AI workloads growing faster than ...

SAN FRANCISCO, Oct 8 (Reuters) - Cisco Systems (CSCO.O), opens new tab launched on Wednesday a new networking chip designed to connect artificial intelligence data centers, with the cloud computing ...

50,000 Cisco firewalls vulnerable to actively exploited RCE flaws CVE-2025-20333 and 20362 Cisco and CISA urge immediate patching; no workarounds available for affected ASA/FTD devices Shadowserver ...

Roughly 50,000 Cisco Adaptive Security Appliance (ASA) and Firewall Threat Defense (FTD) appliances exposed on the public web are vulnerable to two vulnerabilities actively leveraged by hackers. The ...

NetApp® (NASDAQ: NTAP), the Intelligent Data Infrastructure company, today announced a collaboration with Cisco to deliver a significant evolution in converged infrastructure that builds on over 20 ...

This repository contains scripts and resources for deploying Cisco Secure Client components via Microsoft Intune as a Win32 application. The deployment automatically removes the legacy Umbrella ...

Wide area networks and datacenter interconnects, or DCIs, as we have known them for the past decade or so are nowhere beefy enough or fast enough to take on the job of scaling AI training workloads ...