I've installed this on my Surface Go 2 64GB. Runs smooth! Absolutely the best tablet experience for Linux. The support is also wild: My silly questions are answered within hours.
4k is really nice for text. Always annoyed by 1080p screens for work. But yeah gaming - 1080p is fine. I have a 9060 XT and I play games at 4k like Mortal Kombat X, Fallout 4, Evil Within 2, Dead Space Remastered and Wolfenstein: The New Colossus. All 60+ fps on Linux and an ancient cpu.
Doom: The Dark Ages is 1440p and still looks great.
Total waste of money paying so much more for a gpu unless you want local ai, and those weirdo interpolation technologies are a pain in the a* to get working.
A quick search on Xeon production yields that it goes through a rather rigorous testing. I wouldn't be surprised that server cpu's in a desktop pc works longer. I can't overclock it either, and that probably helps with its lifespan as well. But yeah, the fact that it actually powers on when i click the button and isn't a limiting factor after 10 years is quite something.
Could it just be really bad cooling? Looking at 9800X3D, it seems like it's running in a similar range wrt TDP unless you really push the 9800X3D. I'm comparing with desktop cpu's because that's what my workload is. cpu governor is set to performance (no schedutil). No audible change in fan speed during heavy compilation or gaming (very silent humming), and i don't have any fans beside cheap intake, cpu and exhaust fans (1 each) + an excessive amount of dust.
The E5-2620 v4 is great. Have been using it for 10 years now. Wanted to upgrade until I saw current prices. I have 64 GB ddr4. Paired it with rx 9060 xt 16 GB and games run as fast as ever. Perhaps the cpu is a slight bottleneck in DOOM The Dark Ages, but i'm at 60 fps, so no problem. Light llm on the gpu is a nobrainer, and it's cool to see that things can be tuned to run ok on the cpu. I bought 2667 v4 a month ago for 30$. I'd expect it to give a decent performance boost but I just haven't had the need for it yet, but pushing into llm like in the article I'd probably upgrade because 2667 can handle slightly faster ram.
It's easy for others to see what you're downloading: https://iknowwhatyoudownload.com. So if you're unsure if the torrent is legitimate, I'd probably avoid it.
Guy talks about switching to the "Classic" version if
> you just want a simple, open source, local-only JSON-formatting extension that won't receive updates.
Wow that sounds like a tough choice. JSON formatting is moving at such a fast pase that I don't know if I should pay a JSON formatting SaaS a monthly subscription, or if I really can live without updates.
AI is such a blessing. I use it almost every day at work, and I've spent this evening getting a Bluetooth to USB mapper for a ps4 controller working by having ChatGPT write it for me, for a bigger project I'm working on. Yes, it's going to take some time to fully understand the code and adjust it to my own standards, but i've been playing a game a few hours now and I feel zero latency and plenty of controller rumble that I'm having fun giving some extra power. It pretty much worked with the first 250 lines of C it spew out.
What's gonna be super interesting is that I'm going to have an rpi zero 2 power up my machine when I press the controller's ps-button. That means I might need to solder and do some electrical voodoo that I've never tried. Crossing my fingers that the plan ChatGPT has come up with won't electrocute me.
This is also the university that develops RumbleDB[0]. It uses JSONiq as its query language which is such a pleasure to work with. It's useful for dealing with data lakes, though I've only experimented with it because of JSONiq.
Something to consider when using SQLite as a file format is compression (correct me if I'm wrong!). You might end up with a large file unless you consider this, and can't/won't just gz the entire db. Nothing is compressed by default.
Precisely! That's why RDS sounds so interesting. I get a lot more knobs to tweak performance, but I'm curious if a maxed out gp3 with instances that support it is going to fare any better than Aurora.
Have you benchmarked your load on RDS? [0] says that IOPS on Aurora is vastly different from actual IOPS. We have just one writer instance and mostly write 100's of GB in bulk.
People who have experience with Aurora and RDS Postgres: What's your experience in terms of performance? If you dont need multi A-Z and quick failover, can you achieve better performance with RDS and e.g. gp3 64.000 iops and 3125 throughput (assuming everything else can deliver that and cpu/mem isn't the bottleneck)? Aurora seems to be especially slow for inserts and also quite expensive compared to what I get with RDS when I estimate things in the calculator. And what's the story on read performance for Aurora vs RDS? There's an abundance of benchmarks showing Aurora is better in terms of performance but they leave out so much about their RDS config that I'm having a hard time believing them.