Point Element

It's actually Desktop 3.0 - 1.0 being a Pentium Dual Core with 2GB RAM on an Intel motherboard - don't even remember the model. But it had an AGP port and I remember adding a NVidia MX4000 GPU to that. And it was a decent machine. After few years it got donated to nearby school. So good EoL. Desktop 2.0 is not sitting in a corner - waiting for memory prices to come down so that I can finally return it's old 2666MHz 16GB sticks and maybe return the old-ass Zebronics SSD too. It would probably go for 12-15K, and then maybe if I manage to get a nice high-end GPU, then I would combine this junk with the RTX 3050 and sell it for 40k. Would work out. Or just sell the parts one by one. Whatever. Anyway back to the Desktop 3.0, the desktop is quite good at 2-tasking as long as those tasks are consuming different storage media. The CPU runs well, memory is slow-ass being 2666MHz. And yes I did pay 7k for a 8GB 3000MHz module but it does not matter since dual-channel is st...

Finally I have decided to upgrade the desktop. I have booked a Ryzen 5 5600 with a B550M motherboard. I would have liked to put in another 16GB RAM to make total 32GB but since I'm not changing the graphics card, it makes sense to stick with 16GB. I'm also going to get a better cabinet and that will make this another PC. Then I can use whatever parts from the old system and when next year I upgrade the new system further with a new graphics card if things become cheaper, I'll sell the old system as a basic gaming CPU with a RTX 3050 which should fetch decent price for it. So overall I would have spent 45000 + 25000 = 70000 on this system. And I think the performance is worth it. Cheers!!

I was getting bored with work so decided to fiddle with wsl Ubuntu and AI. I decided to go big and downloaded a 14B model in ollama. The office laptop has 32GB of ram. It’s waste because coding takes hardly 10-12GB. Anyway there was a proxy issue with wsl which I solved by importing certificates from windows. Then got ollama installed. Then got a 1.3B model installed for autocomplete. And then got the 9GB 13B parameters model.  Running the 13B model on CPU was a pain. But the integration with continue worked decently. I ran into some code applying issues but nothing crazy. Only issue was slowness.  Next I asked copilot how it can be better. It asked me a bunch of questions to figure out if the GPU is accessible in Linux. Turns out not. After a bunch of tries I reached a point where intels openVINO runtime was able to detect the Gpu. Then I asked the actual question that how much this gpu will help and the answer was 50% which is not really much. So I stopped. But it was r...