About

This is where infrastructure meets inference. Where compute moves off the whiteboard and into the bloodstream of science, one GPU-driven pipeline at a time.

Rackbound is a publication about the physical, financial, and philosophical machinery behind high performance life science. That's HPC. That's AI. And a lot of middleware that fits in the cracks between both.

We cover systems. The kind built for sequencing, structure prediction, digital pathology, molecular simulation, multi-omic integration, and whatever comes after “AI in drug discovery” stops being a category and becomes the default.

Whether it's the datacenter built under a hospital or the storage system undergirding a federated learning pipeline, if it makes modern biocomputing possible, it belongs here.

It’s where we talk about liquid-cooled protein design, sovereign bioclouds, intelligent instrumentation, and why your molecule’s success might depend less on its chemistry than on your architecture.

We talk to the people building the stack, the engineers behind the systems, the scientists driving requirements, the architects finding room for inference and simulation to coexist.

The audience is equally at home in SLURM queues and clinical trials. If you care about what it takes to run machine learning at the edge of the human body, or how datacenter strategy affects drug pipelines, you’re in the right place.

And if that all sounds a bit much, well, good. Complexity is the price of being early.

This is Rackbound. We’re here for the infrastructure of what’s next.

MJH

editor (@) rackbound.com