How Cisco's G300 Boosts Performance of AI Network Builders

Speculations of an AI bubble is in the air and executives are rushing to get ROI on their booming AI investments.

Meanwhile, Cisco has stepped up its AI game. 

With new AI infrastructure innovations unveiled at the Cisco Live Conference in Amsterdam, the tech giant can now help organisations build more profitable data centres, free from complexity, to finally rake in profits on their AI expenditure. 

Cisco’s array of software and hardware innovations together with its AI defence capabilities, enable customers to raise their ambitions for secure and trusted agentic AI.

“AI innovation is moving faster than ever before and we’re delivering the critical infrastructure our customers need to move fast and adopt AI safely and securely,” says Jeetu Patel, President and Chief Product Officer at Cisco.

“Today’s announcements highlight the power of Cisco as a unified platform, showcasing how our innovations in silicon and systems, AgenticOps, security and observability come together to unlock value for our customers from the data centre to the workplace and beyond.”

Hardware and software innovations for faster, better AI

Cisco’s new Silicon One G300 – a 102.4 Tbps switching silicon – sets new standards to backend networking and allows customers to massively scale AI cluster buildout. 

It offers Intelligent Collective Networking that can deliver 33% increase in network utilisation and promises 28% improvement in job completion time compared to the traditional non-optimised traffic. 

Cisco’s G300-powered N91000 and Cisco 8000 systems are specifically designed for high performing AI network builders – hyperscalers, neoclouds, sovereign private deployments, service providers and enterprises.

These systems are 100% liquid cooled and provide significantly higher bandwidth as well as 70% energy efficiency improvements.

Hardware improvements aside, Cisco’s new Nexus One unified management plane helps organisations to simplify operations across on-premises and cloud-based data centre deployments.

“As AI training and inference continues to scale, data movement is the key to efficient AI compute; the network becomes part of the compute itself,” says Martin Lund, Executive Vice President of Cisco’s Common Hardware Group.

“It’s not just about faster GPUs – the network must deliver scalable bandwidth and reliable, congestion-free data movement.

“Cisco Silicon One G300, powering our new Cisco N9000 and Cisco 8000 systems, delivers high-performance, programmable and deterministic networking – enabling every customer to fully utilise their compute and scale AI securely and reliably in production.”

Cisco AgenticOps and AI Defence

Cisco’s innovations across AgenticOps spans across the organisation’s portfolio helping to “automate, scale and simplify IT operations in the AI era”.

AgenticOps is enriched by cross-domain telemetry across Cisco Networking, Security Cloud Control, Cisco Nexus One, Splunk and more, bringing new AI capabilities that bolster “networking, security and observability”.

With its biggest rollout of updates to its Cisco AI Defence, the company helps support AI supply chain governance and runtime protections from cyber threats.

Most exciting of all are the AI-driven enhancements Cisco brings to its Secure Access Service Edge (SASE), which includes “intent-aware inspection of agentic AI interactions and tool requests, evaluating the ‘why’ and ‘how’ of agentic traffic to ward off novel threats”.

As companies accelerate their AI developments, Cisco announced rollout of Critical National Services Centers (CNSCs) in UK, France and Spain to support organisations as they build AI-confidently with Cisco.