Aria Networks, Inc.

T-minus 2 hours. Chris Summers takes the stage at @DataCentre_Cong "The Network: The Key Lever in Improving AI Factory MFU and Token Efficiency" 12:10 - 12:20 p.m. PT San Jose McEnery Convention Center. Be there. datacentrecongress.com/northamerica/

Everyone's obsessed with the model. Nobody's asking what happens when the model has no idea what's going on in the physical layer. @djspry wrote about it. It's good. arianetworks.com/news/models-ha…

Next week at @DataCentre_Cong North America — @AriaNetworks' Chris Summers is presenting: "The Network: The Key Lever in Improving AI Factory MFU and Token Efficiency" The network is 10–15% of cluster spend. A 1% MFU gain offsets the entire investment. It's not plumbing. It's the highest-leverage variable in your AI factory. 👇 Register datacentrecongress.com/northamerica/

The network is no longer plumbing. As distributed inference, reasoning models, and agentic AI systems scale, it becomes one of the highest-leverage components in the entire AI factory — and one of the least understood. Grateful to Shane Snider and @datacenter for the opportunity to dig into this thinking in a recent feature. datacenterknowledge.com/infrastructure… @mansourkaram

Paid TH6 orders. The network is catching up. Onwards. @Broadcom @mansourkaram

In the 1920s, factories finally got electric motors and bolted them straight where the steam engine used to be. Productivity barely moved. For thirty years. That's what most AI infrastructure vendors are doing today. Same architecture. Same dashboards. Just with a chat window on top. In his latest blog, @djspry breaks down the three frameworks shaping how @AriaNetworks decides what to build and why the context layer is where durable value actually accumulates. Worth a read if you're building anything in the AI era. 🔗 arianetworks.com/news/old-patte…

Exactly right! Lots of problems to be solved here. On the networking side, this is exactly why we started @AriaNetworks - improve utilization, uptime and network support for multitenancy.

How do you maximize AI cluster utilization? Mansour Karam of Aria Networks demonstrates specialized AI that extracts signals from telemetry at scale for dynamic optimization across all layers #EnterpriseAI #TechLeadership ngi.fyi/dcnet26-aria-m…

May the 4th be with you. 📷 In a galaxy of AI factories, the network is everything. Every Jedi knows: raw power means nothing if it's poorly directed. The same is true for AI infrastructure. You can pack a data center with the most powerful accelerators in the universe, but if your network is congested, every idle GPU, every stalled training job, every microsecond of latency is a direct tax on your outcome. The Force multiplier isn't the hardware. It's the network. At Aria, we built the networking platform for the AI factory era from scratch. Not adapted from legacy enterprise infrastructure, not a bolt-on. Designed to convert accelerators into intelligence, and intelligence into revenue. Maximum Goodput. Real-time telemetry at 100x the resolution of traditional tools. Open, vendor-agnostic, and in production today. May your GPUs be fully utilized, your congestion windows clear, and your MFU forever in your favor. @mansourkaram

In February, we did white-glove installs of our first 1.6Tb/s TH6 samples. This week, we received our first TH6 Purchase Order. Samples → Commercial Order → Revenue. The Aria #DeepNetworking journey is accelerating. 🚀 @AriaNetworks @Broadcom

The launch. The demo. The Network That Thinks. Live and on record. Our YouTube channel is now live with everything from the GA launch. The full event. The live Deep Networking demo. The people who showed up and said things out loud that the industry has been thinking quietly. And this is just the beginning. We will be adding more content regularly as we continue to build, ship, and show our work. All of it. One place. Come see. @Aria_Networks" target="_blank" rel="nofollow noopener">youtube.com/@Aria_Networks

This is what we see every day at @AriaNetworks, and the problem #DeepNetworking was built to solve. The AI infrastructure conversation is focused on xPUs and power. But the network governs how quickly gradients synchronize, how efficiently KV caches transfer, how seamlessly jobs schedule across thousands of xPUs. When it underperforms, it drags down every other component in the stack. As @DellOroGroup put it: "The network is no longer just plumbing — it's a first-order limiter of AI performance." Exactly right. You can't solve a network problem by buying more xPUs.

"Downtime, setup time, debugging time, and required performance tuning of networking and storage can dramatically impact how much useful work users can do per dollar spent." This is the line that should be on every xPU cloud buyer's wall. AI Factories typically model cost-per-xPU-hour. Just as important is the networking and storage performance that determines how many of those hours produce useful work. SemiAnalysis found that tuning the network + NCCL to deliver optimal performance can take weeks to months of engineer time, burning cluster hours the whole way. Networking isn't a line item. It's a multiplier on every other cost in the stack.

@Google just confirmed our strategy. Their new Virgo Network fabric is built on a telemetry-first approach to handle AI's sub-millisecond traffic bursts, synchronized collectives, and massive bandwidth demands purpose-built for TPUs. At @AriaNetworks, we've been saying this all along: telemetry-first is the only way to run accelerated infrastructure at scale. What Google does for TPUs in their backend network, we do for ALL accelerators and for every cloud and enterprise customer running them. cloud.google.com/blog/products/… @googlecloud @mansourkaram @stefandyckerhof

We launched @AriaNetworks to the world. At @shv in Palo Alto, industry leaders and the people building AI infrastructure came together for our GA launch event. @stefandyckerhof, @dylan522p , Hasan Siraj from @Broadcom, @GavinSBaker, and our own team showed live, in the room, a network that thinks. We are still riding the energy from that night. If you were there, you know. If you weren't, here's your front row seat. youtu.be/7jR_JiCjYcE?si… If you're building or operating AI infrastructure and want to see what the network layer can actually do for your cluster economics, run your own numbers at arianetworks.com/calculator We're live. We're shipping. And we're just getting started. @mansourkaram