sabalaba

12 ms·

61.
Building a GPU Cluster for AI(youtube.com)
1 points by sabalaba 6y ago|1 comments
62.
by sabalaba 6y ago
Yea I made a static site generator with about 50 lines of code using make and pandoc: http://stephenbalaban.com/static-site-generation-in-50-lines... Most of the work is just creating the index.
63.
by sabalaba 6y ago
Trust me, they don't care that you're gone. If you aren't willing to pay $50 / month, you're not their target customer.
64.
by sabalaba 6y ago
Lambda | Senior Software Engineer | San Francisco, CA | Remote | Full Time Remote first! We're looking for a software engineer who wants to write code at our Deep Learning workstation and server company. You will: * Be responsible for
65.
by sabalaba 6y ago
His illusions here were based on a 2000 paper titled "A new illusion demonstrates long-range processing" ( https://www.sciencedirect.com/science/article/pii/S004269890... ) That paper showed that the
66.
Kitaoka’s Popple Illusions – Gabor patches to reverse engineer our visual system(stephenbalaban.com)
4 points by sabalaba 6y ago|1 comments
67.
by sabalaba 6y ago
There are 16 characters between the A of Andreessen and the Z in Horowitz for those that don't get it.
68.
by sabalaba 6y ago
Some interesting links: Beijing and Shenzhen's rapid urbanization: https://earthengine.google.com/timelapse#v=39.90419,116.4073... Deforestation in Brazil: https://earthengine.google.com/timelapse#v=-9.
69.
Google Earth Timelapse(earthengine.google.com)
444 points by sabalaba 6y ago|101 comments
70.
by sabalaba 6y ago
It works for 20.04 LTS and we've updated the website to reflect this, thanks for bringing it to my attention!
71.
by sabalaba 6y ago
Yea which are $3 / hour. Or, you could, shameless plug, use Lambda's GPU cloud which has V100s for $1.5 / hour! https://lambdalabs.com/service/gpu-cloud I'm embarrassed that I feel so compelled to p
72.
by sabalaba 6y ago
It works for 20.04. Sorry if you didn’t get a reply, I’ll look into it. Where did you email us?
73.
by sabalaba 6y ago
No, my comment says that the two 2080 Tis would be better for convnets / situations where you don’t need to train Bert-Large. If you’re sure about memory pooling looking working for DL, please share code and examples, we would love to
74.
by sabalaba 6y ago
I would disagree that having a lot of interest hurts the field. Where are you seeing “noise and low quality work”? For your sake, I hope you’re not reading random papers from unknown authors on arXiv in your spare time! I think we’ve seen i
75.
by sabalaba 6y ago
Good choice on the 24 GB Titan RTX (so you can do at least batch size = 1 for Bert-Large). Not sure if that's the reason it was chosen though to be honest. If you want to do convnets only then you would do better with NVLinke'd 20
76.
by sabalaba 6y ago
Memory pooling is irrelevant for DL training. 24 GB is enough to run batch size of 1 for Bert-Large so honestly this is a good choice. Some folks are saying that 2x 2080 Tis would have been better and that's true if you're doing c
77.
by sabalaba 6y ago
Nothing really has changed in the last two years in terms of training cost. I think the author is making unreasonable extrapolations based on changes in performance on the Dawn benchmarks. A lot of the results are fast but require a lot mor
78.
by sabalaba 6y ago
Lambda | Senior Software Engineer | San Francisco, CA (Dogpatch) | Onsite | Full Time We're looking for a software engineer who wants to write code at our Deep Learning workstation and server company. You will: * Be responsible for the
79.
by sabalaba 6y ago
Great tutorial. Now instead of the 8x V100 $24/hr p3 instance, you can use a Lambda GPU Cloud 8x V100 instance for $12/hr ( https://lambdalabs.com/service/gpu-cloud ). It’s crazy how much Amazon still charges f
80.
by sabalaba 6y ago
No, I already multiplied 624 TFLOPS / GPU * 8 GPU = 4992 TFLOPS (the 5 petaflops number). I'm saying that you are still missing another 8x on the way from 19.5 TFLOPS / GPU to 624 TFLOPS / GPU. 19.5 (base FP32 theoretica
81.
by sabalaba 6y ago
No, the A100 has a 19.5 TFLOP theoretical peak for SGEMM[1], real world benchmarks will likely achieve 93% of that, and so the DGX A100 will be 145 TFlops of FP32 SGEMM performance or 0.145 FP32 PFLOPS. Maybe in 72 FP64 TFLOPS. FP64 is what
82.
by sabalaba 6y ago
Lambda | Senior Software Engineer | San Francisco, CA (Dogpatch) | Onsite | Full Time We're looking for a software engineer who wants to write code at our Deep Learning workstation and server company. You will: * Be responsible for the
83.
by sabalaba 7y ago
https://www.ribbonfarm.com/2009/10/07/the-gervais-principle-...
84.
HandyVent – An Easy-to-Build Ventilator(civilpedia.org)
2 points by sabalaba 7y ago|0 comments
85.
by sabalaba 7y ago
Lambda | Senior Software Engineer | San Francisco, CA (Dogpatch) | Onsite | Full Time We're looking for a software engineer who wants to write code at our Deep Learning workstation and server company. You will: * Be responsible for the
86.
by sabalaba 7y ago
It’s likely some type of segmentation network like Mask RCNN or SegNet. Look up Mask RCNN for some state of the art segmentation results. This stuff has been able to run on mobile phones in real time for years now.
87.
by sabalaba 7y ago
Lambda | Senior Software Engineer | San Francisco, CA (Dogpatch) | Onsite | Full Time We're looking for a software engineer who wants to write code at our Deep Learning workstation and server company. You will: * Be responsible for the
88.
by sabalaba 7y ago
- It frequently stops working and needs to have the chrome extension re installed (at least on Linux). - It’s sluggish. - The password sharing experience sucks. - The drop down menus often get obfuscated in weird ways.
89.
by sabalaba 7y ago
Lambda | Senior Software Engineer | San Francisco, CA (Dogpatch) | Onsite | Full Time We're looking for a software engineer who wants to write code at our Deep Learning workstation and server company. You will: * Be responsible for the
90.
by sabalaba 7y ago
Yea we’re seeing this all over the place at Lambda ( https://lambdalabs.com ). Most people running consistent GPU training or inference jobs are building on-prem clusters or even groups of workstations. It just doesn’t make financ

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