coolest thing about us in the 50’s is that we’ve seen and read this shit many times before and don’t fall the “bubble du jour” or “shit’s really bad this time…” - especially readers here on HN, bubbles be bursting for yeeeears now, recession is coming, crashes are coming… genuinely am sitting here scared and shook about Buffet hoarding cash, that never happened before…
a next fresh new 1M tokens context window.
The most important figure is the power consumed per token generated. You can optimize for that and get to a reasonably efficient system, or you can maximize token generation speed and end up with two times the power consumption for very little gain. You also will likely need to have a way to get rid of excess heat and all those fans get loud. I stuck the system in my garage, that made the noise much more manageable.
1. Start by learning a simulation tool, e.g. Mujoco (open source) or Isaac Sim. 2. Learn basics of optimal control and reinforcement learning, reproduce papers/ideas in the simulation. 3. Get your hands dirty on a cheap robot, and try deploy your trained model on it. For mobility and manipulation. Unitree Go1/Go2 for mobility, and robotic arms for manipulation.
I recently did an Enphase system of a similar size to yours. It was fully DIY except for wiring the combiner and a roofing company to plug all the holes I drilled. Working with PG&E was truly an epic year-plus battle culminating in a CPUC complaint, but in the end it was really just a bunch of emails.
I don't have any installer recommendations, but it should be easy enough to find a local electrician, and I've found that they tend to know others in adjacent fields.