Cisco has unveiled the Unified Edge Platform, combining compute, networking, storage, and safety to energy real-time AI inferencing and agentic workloads on the edge.
The platform solves infrastructure limitations which have towed AI workloads to be processed as near the supply information era level as attainable – a vital prerequisite for industries together with retail, healthcare, and manufacturing.
Unified Edge boasts modular, scalable structure with CPU/GPU configurations, high-performance SD-WAN, and zero-touch deployment for easy operations.
“At this time’s infrastructure can’t meet the calls for of powering AI at scale,” says Jeetu Patel, president and chief product officer at Cisco. “As AI brokers and experiences proliferate, they may naturally emerge nearer to the place clients work together and selections are made – the department workplace, retail retailer, manufacturing facility ground, stadium, and extra. That’s the place compute must stay. With our Unified Edge we’re making it simpler to energy AI in the actual world with versatile, safe methods which are easy to deploy, function, and scale as demand grows.”
Moreover, it comes embedded with multi-layered zero-trust safety that safeguards AI environments from each bodily and cybersecurity threats. The platform considers each conventional and AI workloads, agile and defending investments according to altering enterprise calls for.
Cisco labored with a number of events to develop the suitable system for the world’s advanced environments and distinct trade directions. Unified Edge is obtainable for ordering now, with common availability anticipated earlier than the tip of the 12 months.
Cisco and SiMa.ai lately partnered to ship real-time AI on the industrial edge.
Associated
agentic AI | AI inference | AI/ML | Cisco | edge AI | edge computing
