AurCore Technology

09/03/2026

This week, AurCore was on the show floor at BICSI Las Vegas, showcasing our data center, enterprise, and industrial switching solutions live on the ADI booth rack.

It was great connecting with integrators, IT teams, and industry peers who stopped by to see our hardware in action and talk through real-world deployment needs — from data center backbones to enterprise and industrial network infrastructure.

A big thank you to everyone who took the time to visit us this week!

Good news for anyone who wants to get their hands on our switches: AurCore products are now live on the ADI website and ready to order.

👉 https://zurl.co/vKtOU

08/31/2026

We just published our take on why 2026 is a genuine inflection point for the switch industry — and why "who has the faster port" is no longer the right question.

👉 https://zurl.co/eBzf4

While the industry is racing on port speed, AI compute network have already entered the System Era.

08/17/2026

AUGUST SALE ⚡ AurCore is now at ADI.

Enterprise switches for offices and campuses. Industrial switches built for factory floors and outdoor cabinets. And every single one ships with the ACC/ACN management platform free.

Launch pricing ends Aug 31.

Shop now: https://www.adiglobaldistribution.us/listing/aurcore-promo

08/12/2026

AI clusters need more than fast GPUs—they need a network that keeps them working together.

AurCore AES8001:
• 32 × 400GE
• 25.6 Tbps capacity
• Up to 98% AllReduce network utilization
• GPU-to-GPU latency as low as 1,880 ns
• SONiC or AURCNOS

08/11/2026

CPO, NPO, or XPO — which optical interconnect route wins the AI computing power race?
As AI clusters push bandwidth from 800G toward 1.6T, 3.2T, and beyond, traditional pluggable optics are hitting real physical limits. Three architectures are now leading the industrialization race:

🟢 CPO — chip-level co-packaging, the ultimate energy-efficiency play
🔵 NPO — board-level proximity, the pragmatic bridge to CPO
🟠 XPO — panel-level pluggable, hot-swappable and commercial-ready by 2027
None of them "wins" outright — each is built for a different scenario, from closed AI superclusters to cabinet-to-cabinet interconnects.
We broke down the architecture, power, maintainability, and industry maturity of all three in our latest blog. Full comparison + industry outlook 👇
https://zurl.co/0e2Zy

The explosive growth of AI large models and general computing power is driving the rapid upgrade of data center interconnection bandwidth from 800G to 1.6T, 3.2T and even 6.4T.

08/10/2026

Aurcore's AES6002 (48×10GE SFP + 6×100GE QSFP28, 2.18T) and AES6201 (32×100GE QSFP28, 6.4T) bring carrier-level performance to 10G/100G deployments: ECMP, RoCEv2, ECN/PFC, MPLS, stacking, MLAG, ERPS, PTP-V2 timing accurate to ±20ns, and dual U-Boot for hardware-level reliability.

08/07/2026

One dropped packet doesn't just slow one server. It can delay thousands of GPUs.
Traditional Ethernet was designed to recover from packet loss.
AI clusters are designed to avoid it.

In distributed AI training, every GPU must synchronize before the next iteration can begin.
When a single packet is delayed or dropped, the entire collective communication operation waits.

The result?
• Idle GPUs
• Longer training time
• Lower infrastructure efficiency

That's why modern AI networks prioritize preventing packet loss, not simply recovering from it.

08/05/2026

The AurCore AES8001 delivers 400G AI Ethernet powered by Marvell silicon, featuring Lossless Ethernet, up to 98% AI network utilization, and Dual U-Boot for seamless switching between SONiC and AURC-NOS.

08/03/2026

Your GPUs Aren't Slow. They're Waiting.

Everyone is chasing faster GPUs. But faster compute doesn't always mean faster AI.

As AI clusters grow, GPUs spend more time waiting—for gradients, synchronization, and data moving across the network.

In distributed AI training, communication becomes part of the computation. That's why AI networking is no longer just about bandwidth. It's about keeping thousands of GPUs working together with:

• Lossless transport
• Predictable latency
• Intelligent load balancing
• Congestion-aware traffic management

The goal isn't simply a faster network.

It's a network that keeps GPUs doing what they were built for:

Follow our AI Networking Deep Dive series as we explore the technologies shaping next-generation AI infrastructure.

07/28/2026

Missed the live session? The recording is up.

We walked through ACC — AurCore's cloud network management platform — end to end: where it fits in real deployments, what it actually does, and a live tour of the platform itself.

If you're managing switches across multiple sites and still doing it box by box, the walkthrough section is worth your 30 minutes. Onboarding a device, pushing config, watching topology and health from one dashboard.

Watch the full recording → https://zurl.co/dGRWP

What would you want to see us cover in the next one? Drop it in the comments.

Managing switches one CLI session at a time doesn't scale. In this ...