Aria Networks, Inc.

Networks that Think.

[Aria Networks, Inc. @AriaNetworks]

A proud moment in Times Square last week - our CEO @mansourkaram, was there to sit down with @Nasdaq's The Signal for an interview on building networking purpose-built for AI clusters.

Seven weeks post-GA, we're heads-down doing exactly that: a Deep Networking platform made for the demands of modern inference and training.

The full interview drops in a few weeks - stay tuned.

Thank you to our team, partners, and customers putting Deep Networking to work.

[Mansour Karam @mansourkaram]

@GavinSBaker’s prefill/decode point is the unlock: managed inference is moving beyond monolithic GPU clusters. The network connects prefill to decode, storage to accelerators, and server to server. It’s not plumbing. It’s where token economics get optimized.

That’s @AriaNetworks Deep Networking.

[Mansour Karam @mansourkaram]

In many cases, clusters will still be GPU-heavy. But the trend is clear: prefill, decode, storage, and serving paths are becoming more specialized.

That means the network has to be accelerator-agnostic, use case aware, and optimized for token output.

[Mansour Karam @mansourkaram]

Pure play is critical to managed inference.

The fabric has to span front-end + back-end networks across heterogeneous accelerators, without assuming a single-vendor architecture.

That’s what we’re building at @AriaNetworks.

[Aria Networks, Inc. @AriaNetworks]

Your AI infrastructure wasn't built for this tenant.

@djspry's blog starts with a simple math problem: a 99% reliable network sounds fine until you run a 50-step agent chain through it and end up with a 60% completion rate.

Every failed step is wasted compute. At scale, that's not an ops problem. It's a revenue ceiling.

The next users of AI infrastructure don't have heartbeats.

@AriaNetworks has been building for them since day one.

Read the full post 👇

https://t.co/KPHCIpcIKg

[Aria Networks, Inc. @AriaNetworks]

The gold rush analogy is real.

@MFelsberg_Aria, our Head of Sales, breaks down what's actually happening in the neocloud market right now and why the next generation of AI infrastructure companies need something the incumbents can't offer.

Read "The AI infrastructure gold rush: why the market needs more than deep pockets" here 👇

https://t.co/lLLpzecu3F

[Aria Networks, Inc. @AriaNetworks]

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.

https://t.co/HFDLXeeLOE

[Aria Networks, Inc. @AriaNetworks]

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.

https://t.co/IBxnTj9vjP

[Aria Networks, Inc. @AriaNetworks]

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
https://t.co/X89lu7vyqB

[Aria Networks, Inc. @AriaNetworks]

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.

https://t.co/mWce8o1IP6

@mansourkaram

[Aria Networks, Inc. @AriaNetworks]

Paid TH6 orders. The network is catching up.

Onwards.

@Broadcom @mansourkaram

[Aria Networks, Inc. @AriaNetworks]

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.

🔗 https://t.co/ujfq7W4MAx

[stefan dyckerhoff @stefandyckerhof]

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.

[Next Gen Infrastructure @NextGenInfra_io]

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 https://t.co/zWeBmerJuN

[Aria Networks, Inc. @AriaNetworks]

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