ilmoi

6 ms·

1.
by ilmoi 6mo ago
Get out of the house. Doens't matter if you want to, force yourself to. Do classes/activities with other people. Quikckly you'll meet people and things will change. But the key key key thing is - don't sit at home alone.
2.
Every AI app startup is likely to be crushed by the foundational model providers(twitter.com)
6 points by ilmoi 10mo ago|0 comments
3.
by ilmoi 1y ago
and? network effects. what's so surprising.
4.
by ilmoi 1y ago
I think Karpathy did that in one of his videos!
5.
by ilmoi 1y ago
very interesting, thanks for sharing
6.
Ask HN: AI tools to help you learn faster (GitHub, books, PDFs)
15 points by ilmoi 1y ago|6 comments
7.
Ask HN: 50-500 people startups with top engineering
1 points by ilmoi 3y ago|1 comments
8.
Ask HN: Tier 1 software engineering employers in Toronto
6 points by ilmoi 3y ago|2 comments
9.
by ilmoi 4y ago
To clarify: by prosumer I mean products that are more advanced than what's sold on the mass market. Imagine if you're a cyclicst - a normal bicycle might cost you $1-3k, a "pro" one with advanced features can easily set
10.
Ask HN: Examples of successful prosumer products with product-market-fit?
1 points by ilmoi 4y ago|1 comments
11.
Ask HN: What are the most important questions to ask a potential cofounder?
6 points by ilmoi 5y ago|5 comments
12.
by ilmoi 5y ago
this is actually awesome, thanks so much for sharing
13.
Ask HN: Recommend Reading on Classes vs. Functions
2 points by ilmoi 5y ago|3 comments
14.
Ask HN: What under-the-radar technology are you excited about?
347 points by ilmoi 5y ago|535 comments
15.
by ilmoi 5y ago
I'm building https://gpu.land/ . It's an online provider of dirt cheap GPUs for deep learning. It's 1/3 the price of major cloud providers such as AWS, GCP, etc. This was a project for me to learn the ful
16.
by ilmoi 6y ago
Sorry I missed this. Yes, more than happy to. Email me at hi@gpu.land.
17.
by ilmoi 6y ago
You are right in that it's cheaper, but not that much cheaper if you look at renting v100s. Actually, on the website there's a whole section that compares us to them - https://gpu.land/versus
18.
by ilmoi 6y ago
Hey - for sure. Because I'm the only team member, the entity behind the business is registered as a "sole trader". If you email me on hi@gpu.land I'm happy to share the details.
19.
by ilmoi 6y ago
Hey, when you say "whitelist" - are you using some sort of adblocker? If so, could you share which one? Or where are you whitelisting them? Trying to replicate the issue.
20.
by ilmoi 6y ago
Hey - I'm just trying to replicate the issue. Could you share which adblock you're using? I downloaded Opera but the browser seems to open gpu.land fine.
21.
by ilmoi 6y ago
Not externally (in the same way that vast.ai does it), but you could always boot the instance -> ssh in -> manually run nvidia-docker. Added to feature requests!
22.
by ilmoi 6y ago
Woah, that's not good. Will look into asap (today). Thanks for the feedback!
23.
by ilmoi 6y ago
Both are valid points. And no, there's currently no programmatic access to machines - but that's high on the roadmap. Regarding environments, it's funny, when I was starting out I would kill for a pre-configured instance beca
24.
by ilmoi 6y ago
Great questions. 1) There's a finite capacity in the high 10s of GPUs. Currently the service is utilized at <10% capacity, so there's a lot of room to grow before we run out. If that was to happen (or even if we get to 50%), I
25.
by ilmoi 6y ago
When you stop the instances (instead of killing it), you persist data. It costs $0.02/gb/mo, so $4/mo for a 200gb harddrive. I will add to FAQ, thanks for pointing out.
26.
by ilmoi 6y ago
Hey! So the way I would describe your progression as a student (at least from my experience): - Traditional ML -> probably can run on your laptop - Simple DL -> colab is great. Cheapest there is. - SOTA DL -> you're probably l
27.
by ilmoi 6y ago
Great point re storage, I'll be sure to add to the FAQ. To answer your question it's SSD block storage.
28.
by ilmoi 6y ago
You can! All machines within a single account are inside a private VLAN, which means they all talk to each other (out of the box, no setup required), but nobody else on gpu.land sees them. See the "Are instances within my account conne
29.
by ilmoi 6y ago
Ok noted. That's for me to work on. Thanks for pointing out.
30.
by ilmoi 6y ago
Yep - most people stop instances and come back whenever they're ready to train again. No charges for GPUs while the instance is stopped. If you have a say 200GB harddrive you're only paying $4/month for storage.

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