



A GPU may be defined as a hardware on the internet but it’s one of the major component behind the working of stable innovations, including - Gaming, software development etc
How would you describe it as a part of your life?
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With so many cloud GPU providers available today, it feels like access to compute should be less of a barrier than it was a few years ago.
But is that actually true?
Do you think cloud GPUs have genuinely made AI development more accessible, or are there still major pain points that make people prefer owning their own hardware?
Curious what problems you still run into when using cloud GPUs or, if you avoid them entirely, why.
I was thinking about this while tweaking some game settings today.
A few years ago I thought things like DLSS, Frame Generation, and even ray tracing were mostly just marketing features that looked good in presentations but weren't something I'd actually care about. Now I catch myself turning on DLSS in almost every game that supports it, and it genuinely makes the experience better.
Made me wonder what everyone else's answer would be.
What's one GPU feature you completely wrote off at first but now use all the time? And what changed your mind?
Every few years, a GPU comes along that just refuses to become obsolete. Even long after newer generations are released, it's still capable of running modern games and handling everyday workloads surprisingly well.
Which old GPU surprised you the most with how long it stayed relevant, and what do you think made it stand the test of time?
If I had to pick just one, I'd go with the NVIDIA GeForce RTX 3060 (12 GB version).
Over the past 5–7 years, we've seen some amazing GPUs come and go. Looking back, which one do you think has aged the best? Whether it's because of its performance, value, reliability, or how well it still holds up in today's games, I'm curious to hear your pick. What makes it stand out compared to the rest?
Some GPUs become legends overnight, while others quietly deliver incredible performance and value but never get the recognition they deserve.
Maybe they were overshadowed by a flagship launch, released at the wrong time, or dismissed because of their brand. Years later, some of these cards turn out to be amazing
I need to buy a GPU for my brother who is interested in building AI ml models but im on a budget and there are so many gpus in the market. I also learned that there are gpu rental platforms that rent out gpu cloud servers….. they are expensive aswell. Help me out.
This gave me a stomach ache
She needs to inspect it, and take tax .