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While the industry is racing on port speed, AI compute network have already entered the System Era.
Is it just a switch, or an intelligent network?
Amid frequent launches of 800G and 1.6T products, port density, chip specifications, and power consumption have become the focus of industry events.
Yet amid the AI computing boom, a more fundamental question emerges:
Over the next three years, what will truly define network value—faster ports, or higher computing efficiency?
In the AI Era, Switches Are No Longer Just “Traffic Movers”
Large model training is reshaping data center architecture.
In clusters with thousands or even tens of thousands of GPUs, the real bottlenecks are no longer single-port speed, but:
· Cross-node synchronization efficiency
· Network congestion control
· Task scheduling stability
· Fault recovery capability
When computing power scales exponentially, networks limited to “high-speed forwarding” will become the new performance ceiling.
That is why more enterprises are redefining the value of data center switches:
It is not about parameter comparison, but computing power delivery capability.
Spine-Leaf Architecture
400G AI Switches
GPU Interconnection Topology
From Single Devices to AI Computing Power Network Architecture
Genuine upgrading is not a simple leap from 400G to 800G, but a shift from device thinking to architecture thinking.
The new-generation network approach represented by AurCore focuses on three core pillars:
a) Building a High-Bandwidth, Low-Latency AI Fabric Foundation
400G/800G high-density switching is foundational, not the final goal.
The key lies in building a stable computing interconnection architecture that ensures data consistency and throughput efficiency in large-scale training scenarios.
b) Enhancing Network System Stability
Every disruption in an AI cluster can cost millions.
The network must deliver:
· High-reliability design
· Fast convergence
· Visualized O&M system
This means switches are no longer just hardware—they are part of a system-level solution.
c) Upgrading to “Computing Power Network Overall Solutions”
The era of standalone devices is ending.
What customers truly need is:
· Unified data center networking solutions
· End-to-end architecture from edge to core
· Convergence of industrial interconnection and computing power networks
Competitive advantage will no longer come from chip specs alone, but from system integration capabilities.
The Real Industry Risk Is Not Technological Lag, But a Single-Minded Path
The switch industry’s greatest risk is not technological stagnation, but over-reliance on one path:
If competition remains focused only on port speed over the next three years:
· Cost pressure will keep rising
· Homogeneous competition will intensify
· Profit margins will shrink
Enterprises with long-term value will be those that:
· Integrate 400G/800G into complete data center architectures
· Deeply integrate AI computing power networks with real business scenarios
· Bridge data centers and industrial interconnection
This is the underlying logic behind AurCore’s ongoing layout in data centers, 2.5G/10G product series, and the M12 industrial interconnection solution:
not to build a faster switch, but to create a more stable, efficient, and scalable intelligent network.
Cabinet-density Diagram of Traditional “Stacked Devices”
lligent Scheduling Network Schematic (Central-Brain-Centric View)
2026: Computing Power Networks Enter the “Efficiency Competition Era”
2026 will mark a real watershed.
As AI models continue to scale, enterprises will gradually realize:
A 10% improvement in GPU utilization delivers greater business value than a generational upgrade in port speed.
Core network metrics will shift from:
peak bandwidth to computing utilization / uptime / energy efficiency per unit.
This is a transformation from parameter competition to system competition.
Conclusion
In 2026, the real question for the switch industry will no longer be:
“Who has faster ports?”
But:
“Who can truly power the next generation of AI computing power networks?”
In this transformation, parameters are only an entry ticket.
System capability is the decisive factor.
As the industry moves from hardware competition to architecture competition,
the real winners will be enterprises that have already laid out end-to-end computing power network solutions.
