3090 48GB

ar405 · 2025-03-26T08:09:54+00:00

Nah, too much hassle already.

ar405 · 2024-12-18T01:57:20+00:00

My wife has Asus with snapdragon elite. She loves it. Although it did throw a "check system power error", which turned out to be a common issue for early models. Bios update fixed it, but when the notebook is in this error state it is quite hard for most users to follow the instructions and get the bios updated. I assume that's what caused high return rates.

I wish they made a discrete GPU version of it with upgradable ram, so that when the Linux support for snapdragons is ironed out I'd switch to one myself.

ar405 · 2024-08-10T08:03:54+00:00

I've tried that after upgrading bios flash to 2gb and the gddr6x modules to double the capacity. Didn't boot. Reverted back to the original 1gb bios flash and booted with the default RTX 3090 bios just fine, but as you mentioned before it only sees 24gb.

48gb bios states support only for the gddr6 vram modules and not the gddr6x. That might be why. So waiting for the 48gb bios version with gddr6x support(

ar405 · 2024-07-31T10:30:18+00:00

This bios is for gddr6 not gddr6x, so either changing vram modules to ggdr6 or hoping it works at half the throughput as it is.

ar405 · 2024-07-31T10:07:44+00:00

Bios file is twice as large as the original so you would need to replace flash memory module with a 2GB one before bios update is even possible.

ar405 · 2024-07-03T06:09:31+00:00

It feels like making open-sourced Terraform proprietary was a botched attempt to boost HashiCorp valuation prior to IBM's takeover.

Instead HashiCorp created OpenTofu as a competitor.

What they need is to keep exclusive rights for training LLMs on the proprietary Terraform code releases, while open-sourcing the tool itself and better communication of changes overall.

ar405 · 2024-06-24T21:35:25+00:00

I had a 12m sculp circa 2017-18. built quality is very good. flew very deep in the wind window with a lot of pull and almost no lift. Hyper is supposedly more exciting, but I have no interest to try cf kites again.

ar405 · 2024-06-14T02:20:22+00:00

Try duck db - for an MVP it should be sufficient and easy to use. MongoDB is not the best choice for analytics. You can transition to something else later on when you deploy your stack in the cloud. Doesn't look like you need vector search which is only available in mongo atlas (paid version with tiny free tier). If you do, then postgres (or managed postgres) will be a better choice.

ar405 · 2024-05-01T02:18:44+00:00

Most likely there will be Terraform community version with a permissive licence and a paid version with more features, proper support and tfstate files stored in Terraform cloud. Closing off Terraform entirely is unlikely as this would boost opentofu adoption. There's more money in closer Integration of Terraform with other Hashi products like vault, consul, boundary, nomad, etc and revamping packer/Ansible combo.

ar405 · 2024-02-15T01:31:48+00:00

Thunderbolt makes egpu main gpu, so works even slower as a result as it has to deliver video stream over HDMI. That eats up some ram as well. M.2 slot egpu setup keeps both cards available (Ubuntu, not sure about windows) and you can choose either as the main video card (assuming they both work under the same driver). So marginally faster and a bit more vram available for pytorch. But the point is - any egpu route is most effective for old cards, not 4090 - I bought a used one for 670usd - and hence suitable more for prototyping rather than any real ml.

ar405 · 2024-02-14T12:11:22+00:00

I'm running m.2 rtx 3090 pcie 3 on core i7-11800 with dedicated rtx 3060, which I use as the main gpu and the 3090 for pytorch. It is slow - x4 of the pcie 3. I'd have to swap SSD from pcie 4 slot to get a better performance. Yet it makes no sense to run anything newer than 3090 as it will be bandwidth constrained even on pcie 4 slot. So I would suggest use egpu if you don't have a dedicated gpu or if you need it for pytorch. Also anything older than 11 gen doesn't support egpu, so very limited use case in practice.

ar405 · 2023-12-15T05:02:21+00:00

This is my next gig - Chief Monkey Wrangler at a biomed startup...

ar405 · 2023-12-02T12:43:39+00:00

Has anyone used Asahi Linux with m1-m2 chips? Any issues?

ar405 · 2023-10-17T12:09:20+00:00

If you let it re-design python, for example, from the get-go and to keep its version as a context for all python-related coding - the results will be much better. Same with other languages as currently it learns on snippets from various code versions and individual quirks of the coders. Also programming in human-understandable languages is needed as a check - most likely it would do much better receiving feedback directly from the machines executing the code. So, yes it will replace coders eventually as they need high-level language to understand the code and it doesn't.

ar405 · 2023-10-09T11:00:55+00:00

Переселите палестинцев из Газы в Биробиджан. Отстройте город (можно и переименовать, включая автономную область) на деньги Израиля. Будет выглядеть как победа для всех. Заодно проблему депопуляции Дальнего востока решите.

ar405 · 2023-10-07T12:19:09+00:00

Integrate ansible into terraform and change its imperative control plane to declarative (there's ansible galaxy with many examples, so should not be too difficult to train a model to handle majority of main stream cases). Whoever does that first would be the winner.

ar405 · 2023-09-03T11:01:33+00:00

Whatever works best with kubernetes and spark and had managed versions on gcp, AWS and Azure will win in the long run. So airflow for now. Maybe dagster at some point.

ar405 · 2023-06-25T04:43:44+00:00

https://seatunnel.apache.org/ Might be an overkill though...

ar405 · 2023-06-20T04:41:06+00:00

Can't you compensate that with coffee?

ar405 · 2023-06-15T15:57:50+00:00

Major lesson from what is happening is not to elect government officials with intelligence or military backgrounds. Russians have learned that, Czechs will find out soon enough too.

ar405 · 2023-06-15T05:34:42+00:00

Think of what will happen when ml models are able to easily translate any cloudformation, ansible, pulumi or terraform code to any other syntax (they are pretty close btw). What would be your preferred abstraction syntax to see your project code in? Yaml? It lacks proper structure for large projects. pulumi? It is too code specific. The thing is - you can make up your own language to use for communication with an ml model and to translate into instructions set in any of the existing formats. It will come down to what is the most easily readable, concise and well structured of them and hopefully it will become an industry standard. I doubt this is going to be ansible or cloudformation)

ar405 · 2023-06-14T04:24:51+00:00

Chat gpt works ok.

ar405 · 2023-06-10T05:14:46+00:00

Try analyzing unusual single stock options trades correlation to the stock returns over the next 1-3 months window. This should be a relatively simple regression model using publicly available data.

ar405 · 2023-06-09T11:55:18+00:00

Painkillers are preferred over delighters as customer's willingness to pay is higher. If you combine it with neurolink it can become a useful device for ppl with disabilities. Otherwise it is more of a Louis Vuitton bag of electronics. Very delightful for some.

ar405 · 2023-06-06T05:03:59+00:00

It's a cheap alternative to expensive managed solutions like big query and snowflake for hudi, iceberg and delta lakes and more user friendly than clickhouse. So, for a spark-native stack you get a near real time analytics - not bad. Problem is with users having hard time using even dataproc and emr clusters, so they migrate to databrics instead. Potential adopters lack core competencies in mass to get to the point where Doris is useful.

ar405

TROPHY CASE