Nvidia Memes

Posts tagged with Nvidia

This Is Exactly How Machine Learning Works Btw
AI Hardware Programming Cloud
2 days ago 292.8K views 0 shares
This Is Exactly How Machine Learning Works Btw
So yeah, turns out "Artificial General Intelligence" is just some LLMs standing on a comically large pile of graphics cards. And honestly? That's not even an exaggeration anymore. We went from "let's build intelligent systems" to "let's throw 10,000 GPUs at the problem and see what happens." The entire AI revolution is basically just a very expensive game of Jenga where NVIDIA is the only winner. Your fancy chatbot that can write poetry? That's $500k worth of H100s sweating in a datacenter somewhere. The secret to intelligence isn't elegant algorithms—it's just brute forcing matrix multiplication until something coherent emerges. Fun fact: Training GPT-3 consumed enough electricity to power an average American home for 120 years. But hey, at least it can now explain why your code doesn't work in the style of a pirate.

Cooked
Hardware
3 days ago 216.9K views 0 shares
Cooked
When someone lists their RTX 3060 for $150 with "slightly overheating issues" and the GPU looks like it survived the Chernobyl disaster. The board is literally charred beyond recognition, components are melted into oblivion, and the seller's like "yeah it gets a bit warm sometimes, nothing major." The understatement is truly chef's kiss. That thing didn't overheat—it achieved thermonuclear fusion. Pretty sure if you plugged it in, it would violate several international treaties. But hey, $150 is $150, right? Someone out there is definitely typing "Hi, is this available?" unironically.

I Knew I've Seen This Tech Before Modern GPUs
Hardware Gamedev
4 days ago 291.0K views 0 shares
I Knew I've Seen This Tech Before Modern GPUs
So modern GPUs need a 12-pin power connector that looks suspiciously like... a car cigarette lighter? The resemblance is uncanny and honestly concerning. We've gone from "can it run Crysis?" to "can your power supply literally light cigarettes?" The fact that your graphics card now requires the same form factor as a device designed to heat metal coils is probably a sign we've taken the power consumption arms race a bit too far. Next gen GPUs will just come with a dedicated nuclear reactor and we'll all pretend it's normal. "Yeah bro, my RTX 6090 only needs 2000 watts, pretty efficient actually."

I Want To Do That Too!
Hardware AI
4 days ago 289.5K views 0 shares
I Want To Do That Too!
NVIDIA walks into the RAM factory like they own the place, demanding every stick of DDR5 DRAM until 2028. The RAM producers quote them $9.5 billion. NVIDIA casually pulls out a $10 bill and asks if they can pay the rest later. The RAM producers, apparently suffering from acute business sense deficiency, agree. Meanwhile, consumers are thrown out the door faster than you can say "supply chain shortage." Because why sell to millions of gamers and PC builders when you can sell your entire production capacity to one customer who's basically paying in IOUs? The GPU shortage wasn't enough—now they're coming for your RAM too. Fun fact: NVIDIA's AI data centers are so RAM-hungry that they're literally buying up future production years in advance. Your gaming rig upgrade can wait. Jensen's got neural networks to feed.

Nvidia In A Nutshell
Hardware AI
7 days ago 274.6K views 1 shares
Nvidia In A Nutshell
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
8 days ago 257.6K views 0 shares
AI Economy In A Nutshell
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.

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Thank You AI, Very Cool, Very Helpful
AI Hardware Programming
9 days ago 179.7K views 0 shares
Thank You AI, Very Cool, Very Helpful
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
9 days ago 278.1K views 1 shares
So True
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
10 days ago 205.9K 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
24 days ago 329.7K 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
27 days ago 413.4K 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
29 days ago 189.2K 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.