In a revelation that surprised absolutely no one familiar with the tech industry's propensity for inefficiency, Expanse has emerged with innovative algorithms that can miraculously predict the resources your GPU actually needs. Following extensive research (read: reading some source code), they assert that a staggering 59% of compute resources are wasted in some national-scale HPC clusters. This translates to a small sum of $8.5 million in wasted compute – pocket change, really.
The founders assure us that their sophisticated models, which are basically juiced-up calculators, outperform those inferior LLMs by an 'astounding' 8 times. "We feed live hardware telemetry alongside job scripts into our models," said Expanse's fictional spokesperson, Jane Doe, "It's like reading the stars, but for GPUs."
Expanse takes the hassle out of guessing how much juice your next AI experiment will need by allowing their software to make those guesses for you. If it happens to flag impending failures, they'll even provide you with one or two-line logs that can fix them, because we all know complex software issues can be summarized so succinctly.
Luring customers into their orbit, Expanse will happily install their software to 'demonstrate' real capacity savings and resource management magic. If your cluster fails to perform due to excessive underestimation, blame can always be redirected to LLMs – the universal scapegoats of modern computing.
In a world where every byte counts, Expanse seeks to empower data center operators to bask in the opulence of peak utilization rates. (Surely, a noble cause.)