Alyx came out 4 years ago, and is recognized as one of the best VR titles of all time. It's a full 15 hour game, so not a tech demo. I'd say that's a hit.

I use MakeMKV and an Asus BW-16D1HT in an external enclosure. Run into very few disks that I have trouble ripping, but eventually an update comes out and solves it. Or cleaning the disc and trying again, cleaning again and retrying, on and on until it works.

At 80+Gb that means it's a straight blu-ray rip without being recompressed at all, which is perfect if you have a nice home theater system. You definitely notice the difference then. But if you're just watching on an average monitor with headphones or such, then you're honestly better off finding a smaller version that someone properly compressed down a bit.

AI is much more taxing than gaming. Machine learning will peg a gpu at a flat 100% constant use, while gaming fluctuates up and down depending on what's going on on screen. So being more power efficient while running a card at 100% 24/7 saves money on power costs, and corporations love saving money.

They're not that different, really. CUDA processing cores are the most used in AI training, and those are the main processors used in both Nvidia's consumer desktop cards and machine learning enterprise cards. As "AI" is on the rise, more and more of the supply of CUDA processors and VRAM chips will be diverted to enterprise solutions that will fetch a higher price from deals with corporations. Meaning there will be less materials available for the consumer-level GPU supply, which will drive prices up for normal consumers. NVIDIA has been banking on this for a long time; that's why they don't care about overpricing the consumer market and have been trying to push people towards cloud-based GeForce Now subscription models where you don't even own the hardware and just basically rent the processing power to play games.

Also just to be anal, the 3090 and 4090 have 24Gb of vram, not 32Gb. And unlike gaming nowadays you can distribute the workload to multiple GPU's in one system, or over a network of machines.

Still rocking my 2012 Silver genpu since I drove it new off the lot. Been the best balance of fun and reliability I've ever seen in a car. Just waiting for Mazda to get their shit together on their EV's and make an electric AWD 3 hatchback.

John Cho was solid, the writing was terrible and tried too hard to make it have light hearted jokes, a la Marvel. Like the "Shower bath shower" scene was out of character for both Spike and Faye and didn't land under the circumstances.

Yes, nearly 71% globally.

Apple is the biggest really only in North America.

Drop has kinda gone to shit anyways. Though I have gotten some good headphones off them. But I ordered a set of wood IEM's back in January. Got and update like a month later that the supply chain got messed up, will ship in June. Current order status is "Reserved for shipment. Estimated ship date: July 10". So like a week ago. And all the emails from them lately have been

"Check out these amazing keycaps!11!1!"

"Hey look, we got more keycaps!!!!"

"Limited time only super-special keycaps!"

"Hey, you looking for some keycaps?!"

It's not what it used to be, just like everything else on the internet.

Cpu is a ryzen 2600, it doesn't have an iGPU.

MakeMKV (at least in windows) lets you rip a remuxed mkv without having to rip everything. So you can just select the titles, audio, and subtitle tracks you want without ripping all the other stuff. You don't need to make a full backup and then pull all that out.

This actually pushed me and a couple of friends to subscribe to Nord; I'd been thinking I should get a VPN for a while anyways. I looked through VPN's and I ended up liking Nord's feature set and price vs ExpressVPN. Never thought I'd use them back when they were EVERY video's sponsor on YouTube lol.