
TurboQuant: How a Simple Spin Saves Gigabytes of GPU Memory
Start With a Restaurant Before we talk about AI, let me tell you about a busy restaurant Imagine you manage a popular restaurant. Every order gets written down in full Order #1: "One Chicken Biryani with extra raita and no onions, One Butter Naan, Two Mango Lassi, Table 5, 7:30 PM" Order #2: "Two Margherita Pizza with extra cheese and thin crust, One Veg Burger with no mayo, One Coke, Table 12, 7:45 PM" Order #3: "Three Chicken Burger with extra spicy sauce, Two Masala Dosa, One Filter Coffee, Table 8, 8:00 PM" Each order takes ~150 characters.On a busy Friday night with 500 orders, that's 75k characters, which is pages and pages of scribbled notes. The kitchen is drowning in paper. Now, what if the kitchen agrees on a code system ? Codebook (shared between waiter and kitchen): Food: Extras: Drinks: CB = Chicken Biryani +R = extra raita ML = Mango Lassi MP = Margherita Pizza +C = extra cheese CK = Coke VB = Veg Burger +SP = extra spicy FC = Filter Coffee KB = Chicken Burger -O = no oni
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