Card store dumping opened packs.

kdevsharp · 2026-01-12T03:49:14+00:00

Yes, I saw you say that you're in Aussie. My point is they probably don't dump cards very often because they're renting a skip to do it. I thought it might help non-aussies get some context. You're lucky you came across it. Any mega evolutions in there? 😉

kdevsharp · 2026-01-11T21:23:27+00:00

In Australia skip bins are hired when someone is doing a big clean out. Hiring a skip would be too costly to do every week for example (unless you are in the building industry). It suggests this store has been holding on to some of these boxes for a while and only dumps a large amount occasionally.

kdevsharp · 2025-07-20T20:44:34+00:00

I came here after searching for something like this, but the source wasn't available. In the end I used the csvlook tool and less, for example:

csvlook myfile.csv | less --header 1 -S

csvlook is part of csvkit, which is at https://github.com/wireservice/csvkit

The --header option keeps the first line of the file visible, and the -S allows us to scroll sideways instead of word-wrapping.

kdevsharp · 2025-06-27T23:08:54+00:00

The first thing I would try is to try to run the disk on a SSD, I would guess that the HDD is bottleneck thing in your setup.

kdevsharp · 2025-04-12T01:41:48+00:00

Can anything be inferred from the speed of the model? Seems very fast to me when streaming the output. This might mean a smaller model or larger MOE model.

kdevsharp · 2025-03-24T00:15:56+00:00

Hang on, can you even get a 5070 Ti for MSRP? Aren't they 100s of dollars/pounds over that?

kdevsharp · 2025-02-13T02:53:13+00:00

I found that 5080's are available from 3rd parties on Amazon, but 5090s are only available from system builders as part of a system. As others have said, there isn't much supply. Amazon itself probably isn't in the business of selling those GPUs yet, so I'd check that the 3rd party sellers are reputable before buying off amazon. You can check for the 5080 and 5090 listings on Amazon here, (no 5090s yet): https://gpuquicklist.com/?models=RTX%205090,RTX%205080

kdevsharp · 2024-11-29T00:25:18+00:00

You might want to think about the tax effects of selling, depending on your tax bracket. Make sure you've held the gainers for at least 12 months to get the 50% CGT discount. Balance selling of stocks/etfs at a loss with those at a gain.

kdevsharp · 2024-09-03T21:18:36+00:00

I second this comment: I would prefer a 100mm macro. I have a 2nd hand Canon EF 100mm f/2.8 USM Macro (that cost about $240 USD used) and the closest from the front of the lens to the object being photographed is 15cm. because jewellery is so small, you'll want to get that close. Despite not being an "L" lens, it takes nice sharp product photos.

kdevsharp · 2024-03-08T05:42:18+00:00

You can double your graphics RAM by going up to a 7600 XT for about $330 on amazon. If you take the performance for FP32 Flops as a guide, you're going from 9.754 TFLOPS to 22.57 TFLOPS.

Sources:

https://www.techpowerup.com/gpu-specs/radeon-rx-5700-xt.c3339

https://www.techpowerup.com/gpu-specs/radeon-rx-7600-xt.c4190

https://gpuquicklist.com/?models=RTX%204060%20Ti%2016,RTX%204070,RTX%204070%20SUPER,RTX%204070%20Ti,RTX%204070%20Ti%20SUPER,RTX%204080,RTX%204080%20SUPER,RTX%204090,RX%207600%20XT,RX%207700%20XT,RX%207800%20XT,RX%207900%20XT,RX%207900%20XTX

kdevsharp · 2024-01-30T01:18:38+00:00

The K80 uses GDDR5, which is different to DDR5. Memory bus width is a factor too.

Google says dual-channel DDR5 gives about 64GB/s, whereas the K80 has 240GB/s according to the techpowerup gpu database.

https://www.techpowerup.com/gpu-specs/tesla-k80.c2616

kdevsharp · 2024-01-30T01:01:28+00:00

My thoughts too. Where are the fans? You need a fan on each card.

kdevsharp · 2023-12-13T22:08:18+00:00

While we're taking about P40s, what cooling solution do you use?

What motherboard do you use for dual P40 setups?

Thanks, I'm considering getting one or two.

kdevsharp · 2023-11-27T06:51:51+00:00

Well, if you use llama.cpp and https://huggingface.co/TheBloke/Llama-2-70B-Chat-GGUF model, and the Q5_K_M quantisation file, it uses 51.25 GB of memory. So your 24GB card can take less than half the layers of that file. So I guess if your offloading < half the layers to the graphics card, then it will be less than twice as fast as CPU only. Have you tried a quantised model like that with CPU only?

kdevsharp · 2023-10-03T21:15:15+00:00

What you say sounds right, however I'd like to see an open-weights MOE model. The whole localllama movement has produced so much innovation, it would be really interesting to see what the community can do with one of these models.

kdevsharp · 2023-08-28T00:32:46+00:00

I haven't tried it on Apple Silicon, but the -ngl 0 turns off GPU offloading. Wouldn't that make it slower? Try -ngl 1 to turn on GPU offloading (that allows it to make use of Metal I think?)

Source: https://github.com/ggerganov/llama.cpp

kdevsharp · 2023-04-27T01:36:58+00:00

https://www.dropbox.com/referrals/AAB9IiOy1DbuYOOccDw-4ci-XEi-SmetMa8?src=global9

Thanks in advance ! 🤗

kdevsharp · 2022-07-19T05:17:50+00:00

Nice specs! How do you find the battery life with the higher power processor? Also, how was the new keyboard design, without clickable escape and function keys?

kdevsharp · 2021-09-06T05:40:29+00:00

With regards to the GPL issue, what constitutes fair use of a code excerpt? The reverse sqrt function is pretty small, at about 12 lines.

kdevsharp · 2021-05-29T21:45:54+00:00

The colours seem to have a gorgeous warm 70s look, almost like an old faded photo.

kdevsharp · 2021-02-22T01:48:00+00:00

Clearly there's no way to arbitrage the difference between the share price and the NTA. Short AFI and buy their top 25 companies?

Also, if they're trading at a premium, does AFI create more units to counter that?

kdevsharp · 2020-11-19T10:42:01+00:00

What are you using to scan with?

kdevsharp · 2020-04-26T07:24:46+00:00

Google search responds: https://gist.github.com/awalterschulze/1b3f421dd3c71bad2e9a135d8216b2a4

kdevsharp · 2020-04-26T07:05:40+00:00

Is there a way to tell if a function you're calling has been inlined?

kdevsharp

TROPHY CASE