AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
A new class of highly scalable, effective, and resilient network-native services is made possible by Synapse, which removes the main storage bottleneck in contemporary data centers by offloading the entire telemetry capture process to the network fabric.
Datacenter congestion control (CC) and load balancing (LB) evolve rapidly as workload demands change, but deployment depends on RDMA hardware and transport interfaces. Emerging programmable RDMA engines tie policy code to vendor APIs. Operators must therefore port each policy for every platform they deploy. We address...
It is argued that scale-up fabrics should become software-defined, as programmable switches did for Ethernet over the past decade, and that the switch is the natural place to begin.
This paper presents an FPGA-based SmartNIC architecture designed to address critical network challenges in data-intensive scientific computing. As scientific workflows increasingly demand high-bandwidth data movement and real-time monitoring across wide-area networks, the Open Cloud Testbed (OCT) provides an ideal plat...
Deploying trillion-parameter large language models across metropolitan environments is required to sustain real-time inference. Urban power constraints, however, prohibit monolithic GPU clusters, forcing the integration of distributed supernodes into a citywide compute fabric. Over 100-km distances, optical propagation...
Cloud-native microservices architectures rely on network namespaces for isolation, with the overhead of container communications remaining a critical performance bottleneck. While colocating containers on the same host mitigates some of this overhead, it cannot match the performance of communication within a single net...
Results demonstrate that RSC can make RDMA economically viable for serverless services, and workflow, request‑mix, resource, noisy‑neighbor, endpoint‑scale, and QP‑density diagnostics confirm that connection reuse removes millisecond‑scale RC setup from warm service invocation paths.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.