Touring the F5 BIG-IP Next for Kubernetes Lab to Make AI Clusters More Efficient

What happened

Touring the F5 BIG-IP Next for Kubernetes (software that runs and manages applications across many servers) Lab to Make AI Clusters More Efficient, according to ServeTheHome. It can also run on host CPUs (the general-purpose processor at the centre of a computer), but then it consumes those valuable cores. F5 BNK, short for BIG-IP Next for Kubernetes, sits between clients and GPU (a chip built for many calculations at once, used for graphics and AI) infrastructure to handle LLM (the kind of AI system trained on text to produce text) routing, token governance, and L4 to L7 security at the network edge.

If you can find ways to increase GPU performance in a meaningful way, that means you can get more performance from the same power and GPU footprint, both constraints today. Another neat thing about touring the lab is that F5 makes hardware appliances as well.

Realistically, there are networks for GPU-to-GPU traffic, GPU-to-storage, for users and applications, for control planes both for the nodes as well as the host OSes, even the switches, cooling infrastructure, PDUs, serial console servers, and more all have networks. Some of these are low speed networks.

Others are high-speed networks often running at 400Gbps or 800Gbps per port these days. Beyond networking, many servers sit outside traditional GPU servers in these clusters.