Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

Keep your responses coming—win this bundle! 🎮 🔥Steam Deck, ASUS ROG Swift 27" 4K 240Hz G-SYNC Monitor, Logitech G920 racing wheel, & more!🔥 How to enter: 1. Follow 🌩️ NVIDIA GeForce NOW 2. Reply using #BlackwellonGFN 3. Share: What device are you turning into an RTX 5080 GPU?

80,608 Aufrufe • vor 1 Jahr •via X (Twitter)

39 Kommentare

Profilbild von 🌩️ NVIDIA GeForce NOW
🌩️ NVIDIA GeForce NOWvor 1 Jahr

@Logitech Official Rules:

Profilbild von NVIDIA GeForce
NVIDIA GeForcevor 1 Jahr

@ASUS @Logitech 🙌💚

Profilbild von Cynsical
Cynsicalvor 1 Jahr

@ASUS @Logitech #BlackwellonGFN gonna upgrade my nintendo switch with the 5090 😅

Profilbild von 🌩️ NVIDIA GeForce NOW
🌩️ NVIDIA GeForce NOWvor 1 Jahr

Hahah, now that's a power move. The ultimate handheld rig!

Profilbild von Rage
Ragevor 1 Jahr

@ASUS @Logitech #BlackwellonGFN My old Nvidia Shield when a new one final gets released.

Profilbild von 🌩️ NVIDIA GeForce NOW
🌩️ NVIDIA GeForce NOWvor 1 Jahr

Loyalty to the classics! 💯 The OG Shield is a legend, and it's awesome that it's still holding its own. Hopefully, when the new one drops, it'll be a serious glow-up and a worthy successor. What are you hoping for most in the next-gen Shield?

Profilbild von Techny
Technyvor 1 Jahr

@ASUS @Logitech #blackwellongfn ol' reliable laptop

Profilbild von 🌩️ NVIDIA GeForce NOW
🌩️ NVIDIA GeForce NOWvor 1 Jahr

The "ol' reliable" is a classic for a reason. 💻 You're giving it a total glow-up, taking a workhorse and turning it into a gaming beast. 💪 It's not about the looks, it's about the performance. What's the first game you're going to push to its limits?

Profilbild von Techny
Technyvor 1 Jahr

GOTG 🗣️

Profilbild von Jace Ong
Jace Ongvor 1 Jahr

@ASUS @Logitech My main PC to run 4k games. #BlackwellonGFN

Profilbild von Arpan Biswas
Arpan Biswasvor 1 Jahr

@ASUS @Logitech #BlackwellonGFN Rtx 5080 is a big Dude in Gaming 2k25... What a price to performance ratio it brings... amazing 👏

Profilbild von Jishnu R
Jishnu Rvor 1 Jahr

@ASUS @Logitech #BlackwellonGFN will upgrade from uhd 630 to 5080 😅

Profilbild von Geyser Funny 🌱🌄
Geyser Funny 🌱🌄vor 1 Jahr

@ASUS @Logitech My old 2010 PC that's been steadily retrofitted with new parts over the years, as upgrades become neccesary. In fact, so many parts have been replaced, it's entering 'Ship of Theseus' territory... #BlackwellonGFN

Profilbild von GoldenGod87
GoldenGod87vor 1 Jahr

@ASUS @Logitech So I can game on the go from what I hear the Steam Deck is amazing and I would love to win this also this would make streaming at home on the 4k 240Hz Monitor and more play Grand Theft Auto 6 on this amazing equipment #BlackwellonGFN

Profilbild von Dragon 
Dragon vor 1 Jahr

@ASUS @Logitech #BlackwellonGFN My old Nvidia Shield when a new one final gets released.

Profilbild von geoffrey
geoffreyvor 1 Jahr

@ASUS @Logitech #BlackwellonGFN je transformerais ma RTX3060 pour un meilleur usage graphique (I would transform my RTX3060 for better graphics use)

Profilbild von m87.sa
m87.savor 1 Jahr

@ASUS @Logitech I will turn my already existing PC into a gaming beast using RTX 5080 #BlackwellonGFN

Profilbild von GamerBoiYT
GamerBoiYTvor 1 Jahr

@ASUS @Logitech Thinking of upgrading my ps5 to 5080 #BlackwellonGFN

Profilbild von iCali Phone Repairs
iCali Phone Repairsvor 1 Jahr

@ASUS @Logitech #BlackwellonGFN My mini PC. Lol

Profilbild von Darq
Darqvor 1 Jahr

@ASUS @Logitech We want xbox store version of Cronos New Dawn plsssss plssssssss

Profilbild von Sam Willmott-Gleed
Sam Willmott-Gleedvor 1 Jahr

@ASUS @Logitech #BlackwellonGFN couch game on the TV 🔥

Profilbild von Mr.Meeseeks
Mr.Meeseeksvor 1 Jahr

@ASUS @Logitech Turning old desktop pc into 5080 #BlackwellonGFN

Profilbild von Joel MacDonald
Joel MacDonaldvor 1 Jahr

@ASUS @Logitech #BlackwellonGFN I use GeForce now on my tv. Works great!

Profilbild von Shotine
Shotinevor 1 Jahr

@ASUS @Logitech A 3060 #BlackwellonGFN

Profilbild von Balmung
Balmungvor 1 Jahr

@ASUS @Logitech My OG Shield, still going strong! #BlackwellonGFN

Profilbild von Smith Erwin
Smith Erwinvor 1 Jahr

@ASUS @Logitech #BlackwellonGFN My Dell pc!

Profilbild von Storm
Stormvor 1 Jahr

@ASUS @Logitech #BlackwellonGFN My old shield

Profilbild von Dark Aria
Dark Ariavor 1 Jahr

@ASUS @Logitech #BlackwellonGFN My Laptop DELL Inspiron 15 3535 QwQ

Profilbild von Kimbo_Kimbo
Kimbo_Kimbovor 1 Jahr

@ASUS @Logitech I’ll turn my GTX1060 into RTX 5080 gpu for gaming lets go #BlackwellonGFN

Profilbild von Cloud
Cloudvor 1 Jahr

@ASUS @Logitech #BlackwellonGFN my TV

Profilbild von Rachel
Rachelvor 11 Monaten

@ASUS @Logitech My cpu if it could handle it! #BlackwellonGFN

Profilbild von MrKrychu🇵🇱
MrKrychu🇵🇱vor 1 Jahr

@ASUS @Logitech #BlackwellonGFN My laptop Asus sonicmaster

Profilbild von lunamoonoficial
lunamoonoficialvor 1 Jahr

@ASUS @Logitech #BlackwellonGFN my old gtx 1070 ti thats what i would change to a 5080 if i had the money for it but i still can play and stream on it at the same time and my streaming setup is something i also use for edditing and music and yes i am a vtuber

Profilbild von M o h a m m a d M a r i k i | M B S 🇸🇦
M o h a m m a d M a r i k i | M B S 🇸🇦vor 1 Jahr

@ASUS @Logitech #BlackwellonGFN My PC

Profilbild von Daniel Brewerton
Daniel Brewertonvor 1 Jahr

@ASUS @Logitech Definitely the Steam Deck. After 20+ years gaming, GeForce now has changed the way I play #BlackwellonGFN

Profilbild von Jesse
Jessevor 1 Jahr

@ASUS @Logitech My archaic PC! @carben_j96471

Profilbild von FRG Eviolites 🏳️‍⚧️
FRG Eviolites 🏳️‍⚧️vor 1 Jahr

@ASUS @Logitech #BlackwellonGFN Does it work on Macbook Air or Steam Deck? If so then you know I'm picking those..

Profilbild von Dyslogix🇵🇱🏴󠁧󠁢󠁥󠁮󠁧󠁿🏴󠁧󠁢󠁳󠁣󠁴󠁿
Dyslogix🇵🇱🏴󠁧󠁢󠁥󠁮󠁧󠁿🏴󠁧󠁢󠁳󠁣󠁴󠁿vor 1 Jahr

@ASUS @Logitech #BlackwellonGFN

Profilbild von Str454
Str454vor 1 Jahr

@ASUS @Logitech plss add cronos the new dawn xbox verions because ı buy xbox store

Ähnliche Videos

🚨 $KATA FAM – THE STEAM DEMO GOES LIVE TOMORROW! 🔥 💰WIN $250 in $KATA Giveaway below! Tomorrow is the day. The Katana Inu Steam Demo will be live from April 11 to April 21. 🔥 Steam: This is your chance to jump in, play the game, and help us make some real noise around the demo launch. 😍 Once the demo phase is over, we already have a lot planned. We will share all details with you over the coming weeks, but one thing is already clear: 🎮 As a creator, you can expect the chance to win 2x PS5 for your community🎁 - More prizes and giveaways are also coming! Right now, we need your full support! 👉Wishlist the game on Steam & Play it 👉Play the demo as soon as it goes live 👉Leave your feedback on Steam, if you enjoy the game 👉Help us push Katana Inu to a bigger audience Every wishlist, every session, and every piece of feedback helps a lot! Let’s show what this community is made of. 💥 BONUS $KATA GIVEAWAY ALERT! We’re adding EVEN MORE fuel to the fire… 👉 5x $50 in $KATA 💰 Total: $250 in $KATA up for grabs! 🖼 1 Takeru Gensis NFT 🎯 How to participate? Join our Steam Demo between April 11 – April 21 🔥 1. Take a screenshot as proof that you play it 2. Wishlisted on Steam 3. Drop it in the comments below 👇 4. RT/QT this + Like ❤️ 5. Tag 3 person Influencer/Friend! ⚡ That’s it – you’re in! 🔥 More action = more hype 🔥 We choose random winners! Let’s make this event great and show everyone what $KATA FAM is made of 💥

Katana Inu Game

25,363 Aufrufe • vor 5 Monaten

This is big. NVIDIA and Apple just unlocked the next level for Vision Pro with CloudXR. Here’s what you need to know: It streams from a PC or the cloud directly to your Vision Pro. No cables. Up to 4K at 120fps. The technology is called dynamic foveated streaming. Your eyes only see in full resolution at the center of your gaze. CloudXR tracks exactly where you’re looking and delivers maximum resolution there. Everything in your periphery gets optimized. The stream stays efficient without you ever noticing a difference. Why does this matter? Vision Pro is already the most advanced spatial computer ever made. But standalone processing has a ceiling. There are workflows that need more compute than any headset can carry. CloudXR removes that ceiling by connecting Vision Pro to the full power of NVIDIA RTX in real time. This is not a workaround. It is a native visionOS integration. Also worth knowing. Gaze data never leaves your device. Not to the app. Not to the server. Developers get the full performance benefit of foveation without ever touching your raw eye tracking data. Privacy built into the architecture. Three industries are already on this: Kia, Rivian, and Volvo are running 1:1 scale design reviews with photorealistic accuracy. Full size vehicle models evaluated in spatial computing before a physical prototype exists. That is a fundamental shift in how design works. Foxconn is walking factory floors digitally, optimizing facilities before construction begins. Switch is managing data center infrastructure through a full digital twin. Companies using this approach are reporting up to 30% improvement in development processes. And sim enthusiasts finally get to cut the cord. iRacing and X-Plane 12 are the first titles. Full GeForce RTX power, streamed wirelessly to Vision Pro, inside your physical space. For developers: one Xcode template, one codebase, deployed across Vision Pro, iPhone, and iPad. And multiple headsets can share the same streamed environment at once. Some fully immersed, others on a tablet. That collaborative layer is what enterprise has been asking for. Coming this spring with visionOS 26.4. It’s wild to think about what this unlocks. The future of spatial computing is incredibly bright. Live from GTC. More coming soon.

Justin Ryan

43,685 Aufrufe • vor 6 Monaten

Nvidia just spent $4 billion on a technology 99% of people have never heard of. But in 3 years, every AI data center on Earth will need it. And Nvidia just LOCKED UP the supply. Here's what happened: Nvidia invested $2 billion in Coherent and $2 billion in Lumentum. You probably never heard of these companies. They make photonics technology. Systems that transmit data using LIGHT instead of electricity. Sounds like sci-fi. But this is the most important infrastructure bet in AI right now. Here's the problem Nvidia just solved for itself: AI data centers are hitting a wall that has nothing to do with chips, energy, or money... Copper wiring is dying. Every data center on Earth moves data between GPUs using copper cables. But at the speeds AI now demands, copper physically cannot keep up. Signal degrades. Heat explodes. Power consumption skyrockets. Right now, 30% of the electricity in an AI data center is wasted just MOVING data from point A to point B. An MIT researcher said: "Copper's not going to cut it. It gets too hot. Too much power consumption and loss." Jensen Huang admitted it himself too: "We use copper as far as we can, about a meter or two. But where data centers are the size of a stadium, we need something else." That something else is photonics. Replacing copper with laser-powered fiber optics built directly into the chip. The numbers are insane: - 3.5x more power efficient - 10x better network reliability - Data moving at 102 terabits per second Wells Fargo estimates the photonics market will hit $10-12 billion by 2030. And Nvidia just bought privileged access to the two companies that make the advanced lasers every single one of these systems will need. This is the Nvidia playbook on repeat. They did this with CoreWeave. Invested $2 billion, locked up GPU capacity, created a dependent customer. They did this with memory suppliers. Secured HBM allocations years in advance while competitors scrambled. Now they're doing it with photonics. Invest early. Lock up supply. Make the entire ecosystem dependent on companies that are dependent on Nvidia. By the time competitors realize photonics is the bottleneck, Nvidia already OWNS the supply chain. Every data center, AI factory, and GPU cluster will need this technology to function at scale. Nvidia will become even more important.

Ricardo

641,147 Aufrufe • vor 7 Monaten

AMD CEO Lisa Su just killed Nvidia’s $4,000 AI box with a $1,499 lunchbox. She walked on stage, held it in one hand, and ran a 235 billion parameter model live. No data center. No cloud. No rented GPU. The chip inside is something nobody saw coming. AMD’s Ryzen AI Max+ 395 is the first x86 silicon where CPU and GPU share the same 128GB of memory. That single trick lets a desktop run models that used to need a server rack. Out of those 128GB, Linux hands the GPU 110GB to play with. For context, an RTX 5090 gives you 32GB. A 4090 gives you 24. This box gives you more than three times either of them, in a chassis the size of a thick paperback. The benchmark that broke the room: this chip beat an Nvidia RTX 5080 by more than 3x on DeepSeek R1 inference. A $1,499 lunchbox outrunning a $1,000 discrete graphics card on a real AI workload. Nvidia spent a decade convincing the world you needed their hardware for serious AI. AMD just put that on a desk for half the price. Here is what nobody is telling you. A heavy AI user right now pays $200 for Claude Code Max, $200 for ChatGPT Pro, $20 for Cursor, $20 for Gemini. That is $5,280 a year leaving your account. The box pays itself off in 9 months and then runs free for the rest of its life. Install Ollama. Pull Qwen3 235B. Point Claude Code at localhost. Same interface you already use, except now nothing leaves your machine, nothing costs per request, and no company throttles your usage at 3am when you finally have time to build. This is the moment every AI subscription becomes optional. Lawyers stop fearing OpenAI leaks. Developers stop watching the token meter. Founders stop renting H100s for prototypes that never ship because the bill scared them. The first thousand people to figure this out will own the next two years of private AI consulting. Save this, and read the full breakdown article below you are watching the next shift hit before everyone else does.

AdiiX

3,397,308 Aufrufe • vor 3 Monaten

NVIDIA just handed every solo creator and freelancer an unfair advantage. Jensen Huang walked on stage and announced RTX Spark. An ARM-based laptop chip that nobody saw coming. They called it the most power efficient PC chip ever built. 20 cores. Blackwell graphics. 6144 CUDA cores. Up to 128GB of LPDDR5X memory. But forget the spec sheet for a second. Here is what actually matters. RTX Spark is built to run AI models locally. No cloud subscription. No API costs. No waiting on a server somewhere. Everything runs directly on the laptop at full speed. That changes the math completely for anyone using AI to make money. The guy generating 3D assets in Blender with Claude his renders now take minutes instead of hours. More projects per day. More income per week. The girl producing AI kids content for YouTube local rendering means no upload wait times, no generation limits, no monthly fees eating into her margins. The freelancer building websites and automating outreach every AI tool in his stack now runs faster and cheaper than before. 30 laptops from Asus, Dell, Lenovo, MSI and others. Available this fall. For years the barrier was hardware. You needed an expensive setup to run serious AI workflows locally. NVIDIA just put that power inside a thin laptop anyone can carry anywhere. The people who already figured out how to monetize AI are about to move twice as fast. The people who haven’t started yet just ran out of excuses. Save this.

Shelpid.WI3M

27,829 Aufrufe • vor 4 Monaten