Stop adding more GPUs: Weka's new storage platform reduces load by caching 100% of an AI model's pre-calculated tokens

GPU memory is the most expensive resource in production AI, and it's also the one running out fastest. Long context windows and multi-turn conversations force AI models to repeatedly recompute information they've already processed, consuming GPU memory and compute that could otherwise serve additional users or generate new responses. Instead of treating GPU memory as the limiting resource, why not extend it with much cheaper storage technologies?