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breakds commented on A simple habit that saves my evenings   alikhil.dev/posts/the-sim... · Posted by u/alikhil
breakds · 3 months ago
Sure, write a step-by-step action plan and leave it for

a next fresh new 1M tokens context window.

breakds commented on 25L Portable NV-linked Dual 3090 LLM Rig   reddit.com/r/LocalLLaMA/c... · Posted by u/tensorlibb
jacquesm · 3 months ago
I used a large supermicro server chassis, a dual Xeon motherboard with 7 8 lane PCI Express slots, all the ram it would take (bought second hand), splitters, four massive powersupplies. I extended the server chassis with aluminum angle riveted onto the base. It could be rack mounted but I'd hate to be the person lifting it in. The 3090s were a mix, 10 of the same type (small, and with blower style fans on them) and 4 much larger ones that were kind of hard to accommodate (much wider and longer). I've linked to the splitter board manufacturer in another comment in this thread. That's the 'hard to get' component but once you have those and good cables to go with them the remaining setup problems are mostly power and heat management.
breakds · 3 months ago
Thanks that is very inspiring. I thought there are no blower type consumer GPUs, but apparently they exist!
breakds commented on 25L Portable NV-linked Dual 3090 LLM Rig   reddit.com/r/LocalLLaMA/c... · Posted by u/tensorlibb
jacquesm · 3 months ago
I've built a rig with 14 of them. NVLink is not 'an absolute must', it can be useful depending on the model and the application software you use and whether you're training or inferring.

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.

breakds · 3 months ago
I am curious about the setup of 14 GPUs - what kind of platform (motherboard) do you use to support so many PCIe lanes? And do you even have a chassis? Is it rack-mounted? Thanks!
breakds commented on Ask HN: How do I learn robotics in 2025?    · Posted by u/srijansriv
breakds · 7 months ago
My suggestion

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.

breakds commented on How I like to install NixOS (declaratively)   michael.stapelberg.ch/pos... · Posted by u/secure
sohrob · 7 months ago
Every time I try to use NixOS I start off excited about all the benefits it can provide, but it always ends up frustrating me in some way and I'm reminded of why distributions exist in the first place. I don't want to have to dig into a config file for every little aspect of my OS to be in working order and then worry about having some hackey workaround when something has issues due to the lack of adherence to the FHS.
breakds · 7 months ago
I think having to debug to find problem of your system is frustrating. But with NixOS, I at least won't be afraid of "breaking the system" or doing something "irreversible". This is totally a peace of mind when tinkering with my setup.
breakds commented on Building my own solar power system   medium.com/@joe_5312/pg-e... · Posted by u/JKCalhoun
sowbug · 7 months ago
Greenlancer will draw up code-compliant plans that you can submit to your local building permit agency, and they'll revise if anything needs it. It cost less than $400 last year. You've done enough research that they'll be able to easily take your project and turn it into something legal.

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.

breakds · 7 months ago
Thanks so much for sharing your story – hearing about your DIY Enphase install (and epic PG&E battle!) really gives me confidence. And the information you shared is extremely helpful for first-time DIYers like me.
breakds commented on Building my own solar power system   medium.com/@joe_5312/pg-e... · Posted by u/JKCalhoun
breakds · 7 months ago
Wow, what a fantastic write-up—thanks for sharing this! I’m a San Jose homeowner (and PG&E sufferer) with a homelab that pulls over 1 kW, and I’ve been down the DIY solar rabbit hole for the past two weeks. Based on my research, I’m planning a roughly 9 kW Signature Solar setup:

20× 455 W Canadian Solar panels (~$173 ea)

1× GridBoss MID V2 (~$2 400)

1× FlexBoss 21 (~$2 400)

4× Eco-Worthy 48 V 100 Ah LiFePO₄ batteries (~$1 500 ea)

18 U server rack (~$500) — total hardware ~$14 760

My big hang-up has been the rooftop work, permitting and inspections—almost no one I call will touch a true DIY system. If anyone here in the Bay Area has recommendations for installers or back-of-house permit-whisperers who’ll partner on a non-Tesla/Sunrun job, I’d love to hear how you made it happen. Thanks again for the inspiring guide!

breakds commented on I don't like NumPy   dynomight.net/numpy/... · Posted by u/MinimalAction
brosco · 7 months ago
Compared to Matlab (and to some extent Julia), my complaints about numpy are summed up in these two paragraphs:

> Some functions have axes arguments. Some have different versions with different names. Some have Conventions. Some have Conventions and axes arguments. And some don’t provide any vectorized version at all.

> But the biggest flaw of NumPy is this: Say you create a function that solves some problem with arrays of some given shape. Now, how do you apply it to particular dimensions of some larger arrays? The answer is: You re-write your function from scratch in a much more complex way. The basic principle of programming is abstraction—solving simple problems and then using the solutions as building blocks for more complex problems. NumPy doesn’t let you do that.

Usually when I write Matlab code, the vectorized version just works, and if there are any changes needed, they're pretty minor and intuitive. With numpy I feel like I have to look up the documentation for every single function, transposing and reshaping the array into whatever shape that particular function expects. It's not very consistent.

breakds · 7 months ago
For the second problem, if I understand it correctly, you might want to try `vmap` from jax.
breakds commented on Ask HN: Former employees' RSUs at risk after startup's IPO    · Posted by u/jameskuang
blindriver · 10 months ago
Are you in the US? Because what you're describing doesn't sound like how it would work in the US.

When the company IPOs, your vested shares would immediately vest into actual shares. At that point, you would be taxed and awarded a W-2. This is non-negotiable, and this is something that the company would be forced to handle. The idea that you have a lingering tax payment due before lockout period expires doesn't make sense to me. Your RSUs are now shares and when that conversion occurred on IPO date, you would have been taxed. You own no more tax until you sell your shares.

breakds · 10 months ago
Yes, we are in the U.S., but our situation seems quite different from the standard RSU process you described.

We did not receive a W-2, and the company has not reported the RSUs as taxable income yet.

Even though our RSUs fully vested at IPO, they are not yet settled as shares—the company has set the settlement date to March 15, 2025.

The company is requiring us to prepay withholding taxes in cash before they release the shares. If we don’t pay by the deadline, the RSUs will be forfeited entirely.

This is why we are trying to better understand how this aligns with U.S. tax laws and whether this is standard practice.

We agree that this doesn’t sound like how RSUs typically work in the U.S., which is why we are seeking advice. If you have any thoughts on how this situation might fit within U.S. tax regulations, we’d really appreciate your perspective!

u/breakds

KarmaCake day141October 18, 2016
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