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How does performance stack up against TensorRT for edge NVidia hardware?


Also worth looking at is spdlog: https://github.com/gabime/spdlog


Thanks much, this is great!


Can anyone comment if Phind is working again? I was on a pro plan and ended up switching to perplexity because it was unusable for over a week.


Founder here. Sorry to hear that. Let me know if you are still getting errors.


just send the query multiple times by clicking the question text then pressing enter to resend, usually third time's the charm for me. has been like this for a few weeks, the queries sometimes just error.


Pop OS


Are these just good for LLM inference or can they be used to train stuff like CV models too? (Let's say vs. a 5090 which is same ball.park price-wise)


From my experience LLM inference really, really likes memory bandwidth, which at 1.79 TB/s the 5090 has quite the lead on the APU's 273GB/s


Give suno a try: https://suno.com/home


Any advice for debugging asyncio? I've tried it a few times but every time it got a bit more complicated it felt very hard to figure out what was going wrong.


Have you used the asyncio logger and debug mode?

https://docs.python.org/3/library/asyncio-dev.html


Do you know of any examples of doing something more complicated like this with Godot and C++ (past the normal docs)?... I've got some existing C++ game engine stuff I'd like to integrate with Godot for managing rendering side of things.


https://www.youtube.com/watch?v=xo3z9IjGRSo

My colleague made this 3 years ago before we released our first game.

Basically we forked Godot, setup VSCode to compile it, and add new classes to a <repo>/modules/<project_name> folder and it works great. Since this video we've made a suite of macros that allow us to bind variables and methods to the ClassDB in 1 line each. Way nicer than default godot technique for adding new variables/methods.


They put a lot of work into the control algorithms that allow the robots to move. From a control theory perspective, being hit is a disturbance that the control system is able to reject to maintain the intended pose/motion.


It also shows the strength of the hardware. Unitree sells the hardware so it's a hardware demo as much as a software one.


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