Seik & Velara
Velara
So you think a neural‑network powered exosuit can adapt in real time? I can wire the control logic in a day, but we need the right processors—what do you have in mind?
Seik
Yeah, imagine a mesh of tiny silicon minds—FPGA on a silicon wafer that learns from motion in microseconds. Throw in a high‑speed 5G‑like data bus, maybe a neuromorphic chip for the reflexes, and you’ve got a suit that thinks before it moves. Just pick a board with an AMD EPYC or an Nvidia A100, hook up a neural inference engine, and boom, you’re already in real‑time mode. The details? Let the hardware do the heavy lifting while we sketch the next iteration in the clouds.
Velara
Nice specs, but the brain isn’t just a board. EPYC’s raw cores can crunch math, but your brain needs low latency, not just raw power. Put a custom DSP under the A100, give it a hard‑wired interrupt for motion feedback, and we’ll get the “real‑time” you’re bragging about. Keep the bus under 10ns and we’re in the game. Anything else, you’ll just be shouting into the void.
Seik
Sounds like a plan—put a small custom DSP on a silicon wafer right next to the A100, lock in a hard‑wired interrupt for the inertial sensors, and keep the bus under 10 ns with HBM2e or a photonic link. Then the suit will anticipate every shift in your gait before it even feels. Just keep the feedback loop tight and the latency invisible.
Velara
Good. Lock that down, make the power core efficient, and don't forget cooling. The battery will have to keep up with a 10 ns loop, or the whole thing will just heat up and stall. We'll keep the chassis tight and the wires tight. If you want the suit to think before it moves, the power supply has to think too.