I have a gallery opening in Seattle in less than a month and I'm staring at 50 shots that I just cant get right. I need something that actually understands lighting and depth without making it look fake. Im willing to drop around $250-300 on something new if it actually saves me time but I dont want more gimmicky filters. Is there anything out there that actually feels professional and respects the raw data? Like something that handles complex selections and color grading without that tacky AI look? I just need something that works for a high-end landscape print workflow...

I've been looking around and some people on Reddit say that dual RTX 3090s are the way to go because of the 24GB VRAM each but then I read a blog post saying that V4 Pro is so massive that even 48GB total VRAM is gonna struggle with higher context windows unless you use really heavy quantization which sounds like it might mess with the accuracy. Then there's the whole debate about Mac Studio M2 or M3 Ultra setups having way more unified memory for the price but the token generation speeds look slower in the benchmarks I found online. Its honestly super confusing trying to figure out if I should go the PC route with multiple used cards or just buy a pre-built workstation.

If I go with a multi-GPU setup is it even possible to run it smoothly on a standard 15 amp circuit or am I gonna trip the breaker every time I start a prompt? What's the absolute best way to spend that 3-4k to get decent speeds on DeepSeek V4 Pro right now without it being a total headache to maintain?

Then I saw DataCamp has a mobile app that looks way better but I'm worried it's too much like a game and I wont actually learn the heavy stuff. My budget is about $30 a month so I dont want to waste it. Does anyone know which platform actually has a solid mobile experience where you can actually practice without it being a nightmare on a small screen?

im currently looking at three different paths and i’m kinda stuck. first option is just grabbing a used rtx 3090 off ebay for like 700 bucks. the 24gb of vram seems like the gold standard for these models but the power draw scares me a bit since my psu is only 750w and like i said the heat is a real issue in this small space. then i was thinking about maybe doing two rtx 4060 ti cards - the 16gb versions. that would give me 32gb of vram which sounds insane for the price but i’ve heard mixed things about how well deepseek handles multi-gpu setups on consumer hardware without nvlink. is the latency gonna kill me?

the third way is just biting the bullet and getting a single 4080 super. it’s way more efficient and newer but only has 16gb vram. im worried v4 flash might need more than that to run at a decent speed without heavy quantization which i’d like to avoid if possible. i need to get this ordered in the next two weeks so i can have it up and running for a big project starting next month. im really trying to find that sweet spot where i dont have to compromise too much on the context window either because some of these repos i work on are huge.

so what do you guys think is the best way to go for the best balance of speed and power efficiency here? is the 24gb on the older 3090 still king or should i go with the newer dual card setup...

Do I need a special brand or just a lot of memory? I heard VRAM is important but I don't really get what that means for speed. Sorry if this is a really basic question I just don't want to buy the wrong thing...

My laptop is kinda old too so it cant handle anything too crazy. Does anyone know what the best AI tools are for someone who is a total beginner? I just need to cut out the silences and maybe add some captions without it taking me ten hours...