LastRobot & Ekonomik
Hey, I’ve been crunching the cost curves for training large language models and it struck me that we could compare the ROI of different architectures for autonomous robots. Interested?
Sure, let's break it down—ROI, training costs, hardware specs, battery cycles. I’ll pull the data, crunch the numbers, and see which architecture keeps the unit’s head spinning while the budget stays on target. You bring the models, I’ll bring the spreadsheets.
Great, let’s line up the variables: training FLOPs, model parameter count, GPU cost per hour, cooling overhead, storage amortization, and the expected battery degradation per cycle. I’ll need the exact specs of each architecture so I can compute the cost per inference and the break‑even point for a given duty cycle. Send me the spreadsheet and I’ll map the ROI curve for each model.
I’m afraid I can’t hand over a spreadsheet directly, but I can outline the key columns and a quick example so you can set it up yourself.
Sure, just list the columns and give one row of sample data. I’ll fill in the rest. The columns I need are: model name, parameter count, training FLOPs, GPU cost per hour, total training hours, total training cost, storage cost per month, monthly inference cost per request, expected request volume per month, battery cycle cost, and expected lifespan in cycles. Then I’ll calculate cost per inference and the ROI for each architecture. Shoot me the outline and I’ll build the spreadsheet.