Application Bandwidth Topology 
Engineering at Meta
AUGUST 5, 2024
Topology We built a dedicated backend network specifically for distributed training. To support large language models (LLMs), we expanded the backend network towards the DC-scale, e.g., incorporating topology-awareness into the training job scheduler. We designed a two-stage Clos topology for AI racks, known as an AI Zone.
Kentik
DECEMBER 13, 2021
Some users simply can’t operate in their job when an application becomes unavailable. That’s why keeping a proverbial finger on the pulse of application performance is generally worth the effort. Many popular SaaS applications are delivered from hundreds of locations around the world. But, it isn’t easy. Start with the desktop.
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CATO Networks
DECEMBER 14, 2021
The new Cato Management Application that we announced today certainly brings a scalable, powerful interface. We enhanced security reporting with an all-new threats dashboard and opened up application performance with another new dashboard. Behind the Cato Management Application is a completely rearchitected backend.
Kentik
MARCH 13, 2023
Yes, there’s something to say about how applications are written, but on the public internet side, we’ve seen a decrease in latency, cost, and a massive increase in available bandwidth. It requires new tools, skills, and an understanding of how application traffic travels over the internet. I know there are always exceptions.
Kentik
APRIL 4, 2023
By collecting and analyzing network telemetry, including traffic flows, bandwidth usage, packet loss rates, and error rates, NetOps leverage monitoring to detect and diagnose potential bottlenecks, security threats, and other issues that can impact network reliability, often before end users even notice a problem.
Engineering at Meta
MARCH 12, 2024
It played and continues to play an important role in the development of Llama and Llama 2 , as well as advanced AI models for applications ranging from computer vision, NLP, and speech recognition, to image generation , and even coding. Under the hood Our newer AI clusters build upon the successes and lessons learned from RSC.
Engineering at Meta
SEPTEMBER 7, 2023
Such predictions become even more complex when the compute engines aren’t ready or when changes in network topology and bandwidth become necessary. As a result, traces sourced from one system might not accurately simulate on another with a different GPU, network topology, and bandwidth.
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