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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?

🌩️ NVIDIA GeForce NOW

198,939 subscribers

80,608 просмотров • 1 год назад •via X (Twitter)

Наука и технологии Игры #BlackwellonGFN

Anya Rossi• Live Now

Private livecam show

Комментарии: 39

Фото профиля 🌩️ NVIDIA GeForce NOW

🌩️ NVIDIA GeForce NOW1 год назад

@Logitech Official Rules:

Фото профиля NVIDIA GeForce

NVIDIA GeForce1 год назад

@ASUS @Logitech 🙌💚

Фото профиля Cynsical

Cynsical1 год назад

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

Фото профиля 🌩️ NVIDIA GeForce NOW

🌩️ NVIDIA GeForce NOW1 год назад

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

Фото профиля Rage

Rage1 год назад

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

Фото профиля 🌩️ NVIDIA GeForce NOW

🌩️ NVIDIA GeForce NOW1 год назад

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?

Фото профиля Techny

Techny1 год назад

@ASUS @Logitech #blackwellongfn ol' reliable laptop

Фото профиля 🌩️ NVIDIA GeForce NOW

🌩️ NVIDIA GeForce NOW1 год назад

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?

Фото профиля Techny

Techny1 год назад

GOTG 🗣️

Фото профиля Jace Ong

Jace Ong1 год назад

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

Фото профиля Arpan Biswas

Arpan Biswas1 год назад

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

Фото профиля Jishnu R

Jishnu R1 год назад

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

Фото профиля Geyser Funny 🌱🌄

Geyser Funny 🌱🌄1 год назад

@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

Фото профиля GoldenGod87

GoldenGod871 год назад

@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

Фото профиля Dragon 

Dragon 1 год назад

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

Фото профиля geoffrey

geoffrey1 год назад

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

Фото профиля m87.sa

m87.sa1 год назад

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

Фото профиля GamerBoiYT

GamerBoiYT1 год назад

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

Фото профиля iCali Phone Repairs

iCali Phone Repairs1 год назад

@ASUS @Logitech #BlackwellonGFN My mini PC. Lol

Фото профиля Darq

Darq1 год назад

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

Фото профиля Sam Willmott-Gleed

Sam Willmott-Gleed1 год назад

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

Фото профиля Mr.Meeseeks

Mr.Meeseeks1 год назад

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

Фото профиля Joel MacDonald

Joel MacDonald1 год назад

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

Фото профиля Shotine

Shotine1 год назад

@ASUS @Logitech A 3060 #BlackwellonGFN

Фото профиля Balmung

Balmung1 год назад

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

Фото профиля Smith Erwin

Smith Erwin1 год назад

@ASUS @Logitech #BlackwellonGFN My Dell pc!

Фото профиля Storm

Storm1 год назад

@ASUS @Logitech #BlackwellonGFN My old shield

Фото профиля Dark Aria

Dark Aria1 год назад

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

Фото профиля Kimbo_Kimbo

Kimbo_Kimbo1 год назад

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

Фото профиля Cloud

Cloud1 год назад

@ASUS @Logitech #BlackwellonGFN my TV

Фото профиля Rachel

Rachel11 месяцев назад

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

Фото профиля MrKrychu🇵🇱

MrKrychu🇵🇱1 год назад

@ASUS @Logitech #BlackwellonGFN My laptop Asus sonicmaster

Фото профиля lunamoonoficial

lunamoonoficial1 год назад

@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

Фото профиля 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 🇸🇦1 год назад

@ASUS @Logitech #BlackwellonGFN My PC

Фото профиля Daniel Brewerton

Daniel Brewerton1 год назад

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

Фото профиля Jesse

Jesse1 год назад

@ASUS @Logitech My archaic PC! @carben_j96471

Фото профиля FRG Eviolites 🏳️‍⚧️

FRG Eviolites 🏳️‍⚧️1 год назад

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

Фото профиля Dyslogix🇵🇱🏴󠁧󠁢󠁥󠁮󠁧󠁿🏴󠁧󠁢󠁳󠁣󠁴󠁿

Dyslogix🇵🇱🏴󠁧󠁢󠁥󠁮󠁧󠁿🏴󠁧󠁢󠁳󠁣󠁴󠁿1 год назад

@ASUS @Logitech #BlackwellonGFN

Фото профиля Str454

Str4541 год назад

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

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🎉Big news: NVIDIA Blackwell RTX is coming to #GeForceNOW 💚 What this means… ✅ GeForce RTX 5080-class GPUs are joining the Ultimate fleet ✅ New Install-to-Play multiplies your cloud library with access to over 2500 more Steam games ✅ More frames on more devices... 90 FPS on Steam Deck, racing wheels & more! ➙ #BlackwellonGFN

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43,294 просмотров • 2 лет назад

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.

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 просмотров • 6 месяцев назад

🚨 GIVEAWAY 🚨 We’re giving five (5) lucky fans the chance to upgrade to Starfield Premium Edition to celebrate our rebrand to VGT Gaming News. We want to pay it forward to our original fans, the #Xbox Community, our Game Pass Tracker / GPT Gaming News fans, which launched over three (3) years ago now. This includes a Starfield Premium Edition Upgrade which comes with the recently released Shattered Space Expansion for #Xbox, Xbox for PC, or Steam users, worldwide. Watch the 29-second clip below to see how to enter to win a code for free 👇 Steps-to-Enter: Step One (1): 🔁 Share this Post. Step Two (2): ❤️ Show your support. Step Three (3): Follow & tap the 🔔 @VGTGamingNews for video game industry news. Step Four (4): Follow & tap the 🔔 @GPNGamingNews for Xbox & Game Pass news. Step Five (5): Tune in here on October 23rd, 12:00 PM CST when the winner gets announced. Watch the video below for more details & look at the Replies to this later for more ways to win 🚀 Thank you to all of our fans over the years & in two (2) weeks, we’re going to be giving you all something crazy!

🚨 GIVEAWAY 🚨 We’re giving five (5) lucky fans the chance to upgrade to Starfield Premium Edition to celebrate our rebrand to VGT Gaming News. We want to pay it forward to our original fans, the #Xbox Community, our Game Pass Tracker / GPT Gaming News fans, which launched over three (3) years ago now. This includes a Starfield Premium Edition Upgrade which comes with the recently released Shattered Space Expansion for #Xbox, Xbox for PC, or Steam users, worldwide. Watch the 29-second clip below to see how to enter to win a code for free 👇 Steps-to-Enter: Step One (1): 🔁 Share this Post. Step Two (2): ❤️ Show your support. Step Three (3): Follow & tap the 🔔 @VGTGamingNews for video game industry news. Step Four (4): Follow & tap the 🔔 @GPNGamingNews for Xbox & Game Pass news. Step Five (5): Tune in here on October 23rd, 12:00 PM CST when the winner gets announced. Watch the video below for more details & look at the Replies to this later for more ways to win 🚀 Thank you to all of our fans over the years & in two (2) weeks, we’re going to be giving you all something crazy!

VGT Gaming News

43,172 просмотров • 2 лет назад

This trader used Claude to build a Quant Bot and made +$104,043 on Polymarket Since Apr 2, this wallet has been making about $1,351 a day and a little over 22 trades per hour 40,774 predictions with a 51% win rate in 77 days This trader started with $219.7K in deposits and is now sitting at roughly +41.1% ROI The bot strategy is simple: > It looks for short crypto markets where the odds are still out of sync > Gets in before the repricing is finished then keeps hitting the same setup across a huge flow of entries > The result is not driven by one big win, but by repeating the same edge over and over Most profitable trades: $62 → $1,745 (+$1,683, +2,693.86%) $27 → $1,365 (+$1,337, +4,784%) $79 → $1,350 (+$1,270, +1,595.75%) It is the ability to keep exploiting tiny short-window pricing errors until they stack into a large PnL You only need Claude + Device + 1 hour/day. Giving This Free for 24 hours. To get it: On Dm 1. Comment What Ever you think about it. ( Mandatory ) 2. Like and Retweet this post 3. Follow me Marry Evan

This trader used Claude to build a Quant Bot and made +$104,043 on Polymarket Since Apr 2, this wallet has been making about $1,351 a day and a little over 22 trades per hour 40,774 predictions with a 51% win rate in 77 days This trader started with $219.7K in deposits and is now sitting at roughly +41.1% ROI The bot strategy is simple: > It looks for short crypto markets where the odds are still out of sync > Gets in before the repricing is finished then keeps hitting the same setup across a huge flow of entries > The result is not driven by one big win, but by repeating the same edge over and over Most profitable trades: $62 → $1,745 (+$1,683, +2,693.86%) $27 → $1,365 (+$1,337, +4,784%) $79 → $1,350 (+$1,270, +1,595.75%) It is the ability to keep exploiting tiny short-window pricing errors until they stack into a large PnL You only need Claude + Device + 1 hour/day. Giving This Free for 24 hours. To get it: On Dm 1. Comment What Ever you think about it. ( Mandatory ) 2. Like and Retweet this post 3. Follow me Marry Evan

Marry Evan

14,772 просмотров • 3 месяцев назад

Monetizing your own AI app just got really easy. Last week I used YouAI to create an AI-powered bio generator. It took me less than an hour and I didn't need any programming skills. And now it just made it's first sale. All you need is a good idea and some prompting skills. Here's how you can create your own: Step 1: Setup → Go to → Sign up, then click on "new AI" (you can also remix an existing AI if you're lazy) Step 2: Create prompt → Within the "preamble" you can create the main prompt for this AI → In my example I described the assistant's goal (bio generator) and defined the format of the bios → I also added some bio examples to train the AI Step 3: Configure inputs → Now you define what the user inputs when using the AI app → In my case I defined 3 user inputs: - What topic do you tweet about? - What is your background? What have you achieved? - How do you help your followers? The answers are then used as variables to create the bios. Step 4: Publish → Select the underlying model (GPT or Claude) → Keep the app free or turn on monetization → Then publish! Your app will now be available in the YouAI library for others to use YouAI is also doing a live event tomorrow where they'll go into more detail and teach you how to build your own YouAI app: Thank you to YouAI for sponsoring this post! I'm a big fan of their product.

Monetizing your own AI app just got really easy. Last week I used YouAI to create an AI-powered bio generator. It took me less than an hour and I didn't need any programming skills. And now it just made it's first sale. All you need is a good idea and some prompting skills. Here's how you can create your own: Step 1: Setup → Go to → Sign up, then click on "new AI" (you can also remix an existing AI if you're lazy) Step 2: Create prompt → Within the "preamble" you can create the main prompt for this AI → In my example I described the assistant's goal (bio generator) and defined the format of the bios → I also added some bio examples to train the AI Step 3: Configure inputs → Now you define what the user inputs when using the AI app → In my case I defined 3 user inputs: - What topic do you tweet about? - What is your background? What have you achieved? - How do you help your followers? The answers are then used as variables to create the bios. Step 4: Publish → Select the underlying model (GPT or Claude) → Keep the app free or turn on monetization → Then publish! Your app will now be available in the YouAI library for others to use YouAI is also doing a live event tomorrow where they'll go into more detail and teach you how to build your own YouAI app: Thank you to YouAI for sponsoring this post! I'm a big fan of their product.

Moritz Kremb

30,437 просмотров • 3 лет назад

🎄✨Step Into the Holiday Cheer with Bitsgap's Xmas Raffle! 🎅🎁 From Dec 20 to Jan 9, Bitsgap is running a Xmas raffle with the chance to win epic prizes: 📱 iPhones 15 🎧 AirPods 🛡️ Ledger Wallets 💰 A share of a whopping 5000 USDT Join the festive fun — here's how to get your raffle tickets: 🎁 Get 1 ticket for signing up with Bitsgap 🎁 Score 2 tickets with a 1-month subscription 🎁 Increase your chances with 3 tickets — buy an annual subscription! The more tickets you collect, the higher your odds of winning! It's simple to enter: ⚡️ Follow Bitsgap on Twitter & RT the raffle post! ⚡️ Join @Bitsgap_News Telegram for real-time updates! ⚡️ Subscribe to Bitsgap's YouTube to catch the grand prize reveal! We'll announce the lucky winners live on YouTube Jan 9th. Make this Christmas one to remember with our spectacular raffle! Join now: 🚀 #BitsgapXmasRaffle

🎄✨Step Into the Holiday Cheer with Bitsgap's Xmas Raffle! 🎅🎁 From Dec 20 to Jan 9, Bitsgap is running a Xmas raffle with the chance to win epic prizes: 📱 iPhones 15 🎧 AirPods 🛡️ Ledger Wallets 💰 A share of a whopping 5000 USDT Join the festive fun — here's how to get your raffle tickets: 🎁 Get 1 ticket for signing up with Bitsgap 🎁 Score 2 tickets with a 1-month subscription 🎁 Increase your chances with 3 tickets — buy an annual subscription! The more tickets you collect, the higher your odds of winning! It's simple to enter: ⚡️ Follow Bitsgap on Twitter & RT the raffle post! ⚡️ Join @Bitsgap_News Telegram for real-time updates! ⚡️ Subscribe to Bitsgap's YouTube to catch the grand prize reveal! We'll announce the lucky winners live on YouTube Jan 9th. Make this Christmas one to remember with our spectacular raffle! Join now: 🚀 #BitsgapXmasRaffle

Bitsgap

13,917 просмотров • 2 лет назад

Deleting yourself from the internet is possible, and here’s how: When I began learning OSINT, the first thing I did was search for my online presence 🔍. I was shocked by the amount of information I found. To reduce my digital footprint, I started by deleting unused accounts, photos, and posts. Some websites make it challenging to delete your account or remove personal information ⚠️ One of the best resources I found was JustDeleteMe, a directory of direct links to delete your account from various web services. Here’s how to use JustDeleteMe: 1. Visit JustDeleteMe 2. Type the name of the website from which you want to delete your account 3. Click on “view info” 4. Follow the instructions to remove your account 🗑️ I highly recommend conducting an OSINT investigation on yourself first. This helps you understand how people use the internet and what information might be interesting to an OSINT investigator 👀 Additionally, I recommend using Google Alerts to monitor any search results that might contain your or your client’s information. In a future post, I’ll share how to use Google Alerts to gather information about individuals or companies. ____________________________ P.S. ♻️ Repost if you found this helpful. If you liked this post and would like to learn more methods and techniques to discover information about people, check out my OSINT Mastery course

Deleting yourself from the internet is possible, and here’s how: When I began learning OSINT, the first thing I did was search for my online presence 🔍. I was shocked by the amount of information I found. To reduce my digital footprint, I started by deleting unused accounts, photos, and posts. Some websites make it challenging to delete your account or remove personal information ⚠️ One of the best resources I found was JustDeleteMe, a directory of direct links to delete your account from various web services. Here’s how to use JustDeleteMe: 1. Visit JustDeleteMe 2. Type the name of the website from which you want to delete your account 3. Click on “view info” 4. Follow the instructions to remove your account 🗑️ I highly recommend conducting an OSINT investigation on yourself first. This helps you understand how people use the internet and what information might be interesting to an OSINT investigator 👀 Additionally, I recommend using Google Alerts to monitor any search results that might contain your or your client’s information. In a future post, I’ll share how to use Google Alerts to gather information about individuals or companies. ____________________________ P.S. ♻️ Repost if you found this helpful. If you liked this post and would like to learn more methods and techniques to discover information about people, check out my OSINT Mastery course

CyberSudo

190,823 просмотров • 7 месяцев назад

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.

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

641,202 просмотров • 7 месяцев назад

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.

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 просмотров • 3 месяцев назад

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.

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 просмотров • 4 месяцев назад

You can now fine-tune Llama 3 without writing a single line of code! We are moving at breakneck speed. I recorded a video to show you how to fine-tune any open-source model in a few minutes. I'm using a GPT capable of taking a problem and turning it into a fine-tuned model that will solve it. You don't have to write any code. You only need to explain to a GPT what problem you want to solve and tell it you want to use Llama 3. For example, "fine-tune Llama 3" or "deploy zephyr." It feels magic. The system will recommend a dataset and fine-tune the model for you. I'm using Monster API, a platform that specializes in making fine-tuning and deploying open-source models easy and fast. Their stack is well-optimized to maximize fine-tuning efficiency using techniques like Q-Lora and vLLM. They are behind the GPT. Here is what you need to do: 1. Create an account at 2. Load the GPT with the link below This is as simple as it gets. When you are done, you can click a button to deploy the model and start using it. I have 10,000 free credits for anyone using the code "SANTIAGO" in the dashboard. You can use these credits to access, fine-tune, and deploy these open-source models. You can also keep up with their latest updates, and get free credits and special offers on their Discord server:

You can now fine-tune Llama 3 without writing a single line of code! We are moving at breakneck speed. I recorded a video to show you how to fine-tune any open-source model in a few minutes. I'm using a GPT capable of taking a problem and turning it into a fine-tuned model that will solve it. You don't have to write any code. You only need to explain to a GPT what problem you want to solve and tell it you want to use Llama 3. For example, "fine-tune Llama 3" or "deploy zephyr." It feels magic. The system will recommend a dataset and fine-tune the model for you. I'm using Monster API, a platform that specializes in making fine-tuning and deploying open-source models easy and fast. Their stack is well-optimized to maximize fine-tuning efficiency using techniques like Q-Lora and vLLM. They are behind the GPT. Here is what you need to do: 1. Create an account at 2. Load the GPT with the link below This is as simple as it gets. When you are done, you can click a button to deploy the model and start using it. I have 10,000 free credits for anyone using the code "SANTIAGO" in the dashboard. You can use these credits to access, fine-tune, and deploy these open-source models. You can also keep up with their latest updates, and get free credits and special offers on their Discord server:

Santiago

324,621 просмотров • 2 лет назад