Nvidia Memes

Nvidia In A Nutshell

10 hours ago 153.4K views 1 shares

So Nvidia dominates the GPU market like a boss, riding high on their graphics supremacy. But plot twist: their own success creates a global RAM shortage because everyone's panic-buying their cards for gaming, crypto mining, and AI training. Now here's the beautiful irony—Nvidia can't manufacture enough new GPUs because... wait for it... there's a RAM shortage. They literally shot themselves in the foot by being too successful. It's like being so good at making pizza that you cause a cheese shortage and can't make more pizza. The self-inflicted wound is *chef's kiss*. Classic case of market dominance creating its own supply chain nightmare.

AI Economy In A Nutshell

AI Hardware Cloud

1 day ago 204.8K views 0 shares

You've got all the big tech players showing up to the AI party in their finest attire—OpenAI, Anthropic, xAI, Google, Microsoft—looking absolutely fabulous and ready to burn billions on compute. Meanwhile, NVIDIA is sitting alone on the curb eating what appears to be an entire sheet cake, because they're the only ones actually making money in this whole circus. Everyone else is competing to see who can lose the most venture capital while NVIDIA just keeps selling GPUs at markup prices that would make a scalper blush. They're not at the party, they ARE the party.

Thank You AI, Very Cool, Very Helpful

AI Hardware Programming

2 days ago 148.5K views 0 shares

Nothing says "cutting-edge AI technology" quite like an AI chatbot confidently hallucinating fake news about GPU shortages. The irony here is chef's kiss: AI systems are literally the reason we're having GPU shortages in the first place (those training clusters don't run on hopes and dreams), and now they're out here making up stories about pausing GPU releases. The CEO with the gun is the perfect reaction to reading AI-generated nonsense that sounds authoritative but is completely fabricated. It's like when Stack Overflow's AI suggests a solution that compiles but somehow sets your database on fire. Pro tip: Always verify AI-generated "news" before panicking about your next GPU upgrade. Though given current prices, maybe we should thank the AI for giving us an excuse not to buy one.

So True

Hardware Gamedev

2 days ago 252.9K views 0 shares

Intel's been promising their 5080 "Super" GPU for what feels like geological eras now. Wait, Intel doesn't make the 5080? NVIDIA does? Yeah, exactly. Those folks are still waiting for something that doesn't exist while the rest of us moved on with our lives. Fun fact: By the time NVIDIA actually releases a hypothetical 5080 Super variant (if they ever do), we'll probably have invented quantum computing, solved P vs NP, and finally agreed on tabs vs spaces. The skeleton perfectly captures that eternal optimism of "just wait a bit longer for the next gen" while technology marches forward and your current rig collects dust. Pro tip from someone who's seen too many hardware cycles: buy what you need now, not what's promised for tomorrow. Otherwise you'll be that skeleton on the bench, still refreshing r/nvidia for launch dates.

I Got Your Monitors Missing 0.01 Hz And I'm Not Giving It Back

Hardware Windows Linux

3 days ago 180.5K views 0 shares

I Got Your Monitors Missing 0.01 Hz And I'm Not Giving It Back

You know that feeling when you set up dual monitors and one is running at 200.01 Hz while the other is stuck at 200.00 Hz? Yeah, the GPU is basically holding that extra 0.01 Hz hostage. It's like having two perfectly matched monitors, same model, same specs, bought on the same day... and somehow the universe decided one deserves slightly more refresh rate than the other. The NVIDIA driver just sits there smugly, refusing to sync them up. You'll spend 45 minutes in display settings trying to manually set them to match, only to realize the option simply doesn't exist. That 0.01 Hz difference? It's the GPU's now. Consider it rent for using dual monitors. And yes, you absolutely WILL notice the difference. Or at least you'll convince yourself you do.

All Money Probably Went Into Nvidia GPUs

Databases AI Programming Backend Cloud

17 days ago 305.6K views 0 shares

All Money Probably Went Into Nvidia GPUs

Running Postgres at scale for 800 million users while conveniently forgetting to contribute back to the open-source project that's literally holding your entire infrastructure together? Classic move. PostgreSQL is one of those legendary open-source databases that powers half the internet—from Instagram to Spotify—yet somehow companies rake in billions while the maintainers survive on coffee and GitHub stars. The goose's awkward retreat is basically every tech company when you ask about their open-source contributions. They'll spend $50 million on GPU clusters for their "revolutionary AI chatbot" but can't spare $10k for the database that's been rock-solid since before some of their engineers were born. The PostgreSQL team literally enables trillion-dollar valuations and gets... what, a shoutout in the docs? Fun fact: PostgreSQL doesn't even have a corporate sponsor like MySQL (Oracle) or MongoDB. It's maintained by a volunteer community and the PostgreSQL Global Development Group. So yeah, maybe toss them a few bucks between your next GPU shipment.

This Count As One Of Those Walmart Steals I've Been Seeing

Hardware AI

20 days ago 404.6K views 0 shares

This Count As One Of Those Walmart Steals I've Been Seeing

Someone found an RTX 5080 marked down to $524.99 at Walmart. That's a $475 discount on a GPU that literally just launched. Either the pricing system had a stroke, some employee fat-fingered the markdown, or the universe briefly glitched in favor of gamers for once. Your machine learning models could finally train at reasonable speeds. Your ray tracing could actually trace rays without your PC sounding like a jet engine. But mostly, you'd just play the same indie games you always do while this beast idles at 2% usage. The real programming challenge here is figuring out how to justify this purchase to your significant other when your current GPU works "just fine" for running VS Code.

580 Is The Most Important Number For GPUs

Hardware

21 days ago 178.3K views 0 shares

580 Is The Most Important Number For GPUs

You know that friend who always name-drops their "high-end gaming rig"? Yeah, they casually mention having "something 580" and you're immediately picturing them rendering 4K gameplay at 144fps with ray tracing maxed out. Plot twist: they're flexing an Intel ARC B580 (Intel's adorable attempt at discrete GPUs), but you're thinking they've got an AMD RX 580—a respectable mid-range card from 2017 that can still hold its own in 1080p gaming. Reality check? They're actually running a GTX 580 from 2010, a card so ancient it predates the first Avengers movie. That's Fermi architecture, folks. The thing probably doubles as a space heater. The beauty here is how GPU naming schemes have created the perfect storm of confusion. Three different manufacturers, three wildly different performance tiers, same number. It's like saying you drive "a 2024" and leaving everyone guessing whether it's a Ferrari or a golf cart.

Not A 5090 But Thanks Mom

Hardware AI Gamedev

23 days ago 279.0K views 1 shares

When you ask for the latest gaming GPU but mom comes through with a $10,000 professional workstation card instead. The RTX 6000 is literally more expensive and powerful than the 5090, but gamers gonna game and nothing else matters. It's like asking for a sports car and getting a Lamborghini tractor—technically superior engineering, but where's the street cred? The Blackwell architecture RTX 6000 is an absolute beast for AI training, 3D rendering, and professional workloads, but you can't exactly flex it in your Discord gaming setup channel. Mom basically handed you the keys to a data center and you're upset you can't run Cyberpunk at 500fps.

Old News But Made A Meme

Hardware

24 days ago 232.4K views 0 shares

NVIDIA really said "you know what, let's bring back the 3060" ten days after discontinuing the 5070 Ti. The 3060 got resurrected while the 5070 Ti is getting a proper burial. Talk about product lineup chaos. The funeral meme format captures it perfectly—someone's mourning the RTX 5070 Ti that barely had a chance to exist in production, while casually presenting the RTX 3060 like it's the guest of honor at its own wake. Nothing says "strategic product planning" quite like killing off your new card and zombie-walking your old budget king back into the lineup. GPU manufacturers and their discontinuation schedules remain undefeated in creating confusion. At least the 3060 gets another lap around the track.

What This Sub Tells Me I Need To Buy

Hardware Gamedev

24 days ago 233.9K views 0 shares

The GPU arms race has officially jumped the shark. Someone took the absurdity of tech enthusiasts constantly recommending overkill hardware and ran with it—literally creating a graphics card with approximately 25+ fans and a model number that looks like someone fell asleep on the 9 key. The "ROG ASTRAL PROTOS" (because we definitely needed another ROG variant) features the legendary "ASUS 999999999999990 Ti" paired with the "RTX 100010009 Ti Super Ultra Pro Pro Max Mega Hyper"—a naming scheme that perfectly captures how NVIDIA and Apple had a baby and it inherited the worst traits from both parents. The "billion pt vram" spec is *chef's kiss*—because why stop at terabytes when you can measure your VRAM in petabytes? At this point, you could probably run Crysis, host the entire internet, and simulate the universe simultaneously. But hey, according to Reddit, anything less and you're basically coding on a potato. Can't run "Hello World" without ray tracing these days.

End Of Life For A Few Nvidia Models

Hardware AI Programming

25 days ago 225.9K views 0 shares

Nothing says "planned obsolescence" quite like Nvidia casually yeeting perfectly good GPUs into the abyss. These RTX 50-series cards barely had time to collect dust before Nvidia decided they're done supporting them. Classic tech giant move—drop support faster than you can say "driver update." For developers and ML engineers who just dropped a kidney's worth of cash on these cards, watching Nvidia toss them aside like yesterday's garbage hits different. You're still paying off the credit card, and they're already pretending your hardware doesn't exist. The Toy Story format captures that exact moment when you realize your expensive hardware investment just became a very pricey paperweight. Woody's desperate plea perfectly mirrors every dev's internal screaming when their production server's GPU suddenly becomes unsupported legacy hardware.

Browse