Загрузка видео...

Не удалось загрузить видео

На главную

NVIDIA app officially launches today featuring: ⚫Latest NVIDIA graphics drivers ⚫Unified GPU control center ⚫Redesigned in-game overlay ⚫Performance monitoring overlays ⚫Game enhancing filters + more Download now:

157,596 просмотров • 1 год назад •via X (Twitter)

Комментарии: 10

Фото профиля Sebastian Castellanos
Sebastian Castellanos1 год назад

But I like the GFE overlay more than the NVIDIA app overlay :(

Фото профиля Larry
Larry1 год назад

I really hate this new app. Constructive feedback, but the old NVIDIA controller was super straightforward and easy to use. The new app feels so cluttered and it's hard to find simple stuff.

Фото профиля tom barey
tom barey1 год назад

Put DLSS 3 on my 3090 (frame generation)

Фото профиля Nathan Snyder
Nathan Snyder1 год назад

When will it replace old control panel in Microsoft store?

Фото профиля Noticia al Día
Noticia al Día1 год назад

Create your own automated system with John's help. Easy to follow, powerful to use. 👉 Learn the steps

Фото профиля Jordan Oliver
Jordan Oliver1 год назад

If possible add stereoscopic dx12 feature on next version.

Фото профиля Vojtak
Vojtak1 год назад

Hope it's better now, I've tried Beta and i didn't like it. I think some settings were missing.

Фото профиля br0knheart
br0knheart1 год назад

How is it on CPU usage & resources? Is there any impact on performance with it running in the background while gaming?

Фото профиля LemonLimeSkull
LemonLimeSkull1 год назад

I have the beta version downloaded do I have to download the new one or do I just update it?

Фото профиля Chito | Content Creator
Chito | Content Creator1 год назад

Latest driver update be crashing steam games any fix to it?

Похожие видео

Canton Weekly: August 17 to 23 From a new US benefits pilot to Ledger support and new $CC markets, here is what happened across Canton this week. ⚫ Digital Asset and the American Idea Foundation announced a Canton based pilot for food, childcare and cash benefits, planned for Q1 2027 subject to federal approval. ⚫ The Canton Development Fund has allocated 162M+ CC across 32 approved proposals. ⚫ Ledger added native CC support across Ledger Wallet and Ledger Enterprise. Ledger Enterprise (Ledger Enterprise) also joined Canton as a Super Validator. ⚫ Temple (Temple) now has its Canton trading data available on Token Terminal 📊. ⚫ @Bitstamp opened CC/USD and CC/EUR markets, with native deposits and withdrawals available to eligible users. ⚫ Interstice Digital (Interstice Digital) and FalconX launched a non-custodial swap engine connecting Canton with Ethereum, Solana and Robinhood Chain. ⚫ HSBC CST (HSBC) received Featured App status on Canton TestNet after unanimous support from all 13 Super Validators. ⚫ Zenith (Zenith) received 25.4M CC after completing its second Canton to EVM milestone. ⚫ CAC launched Pactora, a multichain platform for issuing and settling tokenized assets across Canton, Avalanche and Solana. ⚫ ChainSafe (ChainSafe) released an open source tool that lets AI agents pay for enterprise data on Canton. ⚫ Silvana (Silvana) opened its Ambassador Program to creators and community builders, with rewards based on impact and referrals. ⚫ Noves (Noves) launched Data Platform v4 to help institutions reconcile, report and audit private Canton activity. ⚫ Palladium Labs drove more than 20M CC in burns through app activity over the past year. ⚫ CantonNews (CantonNews) launched a built-in swap powered by OneSwap (OneSwap), supporting five trading pairs. ⚫ Cantex (Cantex) passed $150M in total trading volume. ⚫ Canton governance approved 17 validator operators and recorded 26 MainNet allocations. Ten more applications entered review.

Canton Army

11,441 просмотров • 1 месяц назад

Jensen Huang just doubled NVIDIA's demand forecast to $1 Trillion through 2027 🤯 Then spent two hours explaining why that number is conservative… Here's everything today from GTC: - NemoClaw: NVIDIA's open-source enterprise AI agent stack built around OpenClaw. Jensen called OpenClaw "the operating system for personal AI" and said every company needs a strategy for it. - Space-1: NVIDIA is putting Vera Rubin data centers in orbit. Not a concept. An actual system being designed for space deployment right now. - DLSS 5: 3D-guided neural rendering that blends raw graphics with generative AI. Jensen called it the future of real-time rendering. - AWS: Deploying 1 million+ NVIDIA GPUs starting this year. Azure was the first hyperscaler to power up Vera Rubin. - Vera Rubin: NVIDIA's next-gen AI supercomputer. 10x more performance per watt than Blackwell, 700 million tokens per second, shipping later this year. - Groq 3 LPU: First chip from NVIDIA's $20B Groq acquisition. A purpose-built inference accelerator that ships Q3. NVIDIA now owns training AND inference. -Feynman: The architecture after Rubin, coming 2028. New GPU, new LPU, new CPU. NVIDIA is on a 12-month chip cadence and the treadmill never stops. - Autonomous driving: BYD, Hyundai, Nissan, and Geely building Level 4 vehicles on NVIDIA. Uber deploying NVIDIA-powered robotaxis across 28 cities by 2028. The man doubled his demand forecast to a trillion dollars, announced data centers in space, and closed the show with a robot singing country music. This is NVIDIA's world. Everyone else is just renting compute in it.

Josh Kale

45,875 просмотров • 6 месяцев назад

Jensen Huang just BROKE the most important rule in the industry. And it explains why Nvidia controls 95% of the AI chip market. Last night at CES, he unveiled Vera Rubin - the new AI supercomputer that's shipping right now. Full production started weeks ago. But here's the part that made every semiconductor engineer in the room go crazy: Reuben GPU is 5x faster than Blackwell. But only has 1.6x the transistors. That should be physically impossible. Moore's Law says you get maybe 25% more performance per transistor generation. Jensen just delivered 300%. How? He BROKE the most sacred rule in chip design. The rule every company follows: "Never redesign more than 1-2 chips per generation." Nvidia redesigned all six chips simultaneously. Vera CPU. Reuben GPU. Connect X9 networking. Bluefield 4 DPU. MVLink switches. Spectrum X Ethernet. Every. Single. Component. From scratch. He calls it "extreme co-design." The industry calls it insane. One rack now moves 240 terabytes per second. That's TWICE the entire global internet bandwidth. In a single rack. And it runs on 45°C water - no chillers needed. Which saves 6% of global data center power. But the real story isn't the hardware... It's what they're doing with it. Nvidia just open-sourced Alpha Mayo. The world's first reasoning autonomous vehicle AI. Mercedes-Benz CLA launches with it in Q1. Europe Q2. Asia by year-end. Not a concept car. Not a limited release. Full production vehicles. And the AI will even explain its reasoning out loud. "I'm slowing down because the truck ahead is braking and there's a cyclist merging." It thinks. Then tells you what it's thinking. Then executes. Jensen drove it through San Francisco for an hour yesterday. No hands. No interventions. Through heavy Sunday traffic. The whole thing is open source now. Every line of training code. Every data source. The entire stack. But why would Nvidia give this away? Because they learned something from the last year: Open models activated the entire world. DeepSeek R1 proved open source can hit the frontier. Downloads exploded. Every country, every startup, every researcher can now build AI. And they all need Nvidia hardware to train it. That's the strategy. Give away the recipes. Sell the kitchen. The partnerships tell you where this is going: Siemens is integrating Nvidia into every industrial design tool. Cadence and Synopsys are rebuilding chip design around Nvidia. Palantir, ServiceNow, Snowflake - their entire platforms now run on Nvidia's agentic AI stack. This isn't just selling chips anymore. Nvidia is rebuilding the entire computing stack. From design to manufacturing to deployment. Every layer of the trillion-dollar AI infrastructure buildout runs through them. And now they're 18 months ahead of everyone else. Again. The competition is still trying to match Blackwell. Nvidia's already shipping the thing that makes Blackwell look slow. What do you think - is anyone catching them? The only company capable of this might be Google.

Ricardo

580,362 просмотров • 8 месяцев назад

Etched came out of stealth at $800M and by lunch X had NVIDIA in the ground We do this every few months. A chip launches, the deck says killer, the timeline holds a funeral, and NVIDIA closes green anyway Etched hardwires the transformer into silicon. That is where the speed comes from, nearly the whole die on one job instead of the ~30% a GPU uses. It is also the trap. The day that chip tapes out is the best it will ever be. You cannot patch it. You burned progress into a wafer and now pray the field stops moving NVIDIA made the opposite bet. Same board, faster every quarter in software. Dynamo is pulling more tokens per watt out of the same rack, on version 1.0 The depreciation risk the bears aimed at NVIDIA for two years does not live at NVIDIA. It lives here, on the chip built to bury it Etched is not a fraud. It is a niche tool priced like a general one, and $800M is not enough to run a frontier supply chain. The rest get bought on the next down cycle Bury the lead, not the leader. Full case with Jack Farley and Max Wiethe on MTS And special thanks for Baseten for the cool T Shirt! Chapters 00:00 Switching from bonds to semis 00:33 What Etched actually is 01:31 Faster and cheaper, but how much HBM 02:56 Maturing market, not an NVIDIA killer 05:01 $1B in contracts and a Taiwan factory 05:20 Why these startups all get absorbed 06:48 Tiered inference and the obsolescence trap 09:39 Etched vs TPUs and Trainium 12:17 Is the CUDA moat weakening 13:21 Co-design, squeezing every token per watt 14:37 NVIDIA is a software company that sells a chip 14:58 Who is NVIDIA's most dangerous competitor 16:23 The NVIDIA killers, ranked 18:19 A rich man's game 18:43 AMD's MI500 vs Rubin Ultra 20:19 The neocloud business decision 22:46 Lightning round, Rambus the toll on HBM 25:11 The CXL run-up on Astera, Marvell, Credo 26:22 Use AI less, go to the booth 28:10 EDA is not dead

Ben Pouladian

29,969 просмотров • 2 месяцев назад

GAVIN BAKER: NVIDIA IS NO LONGER JUST A CHIP COMPANY. Gavin Baker recently laid out one of the sharpest observations about the current AI hardware cycle, and it explains why Nvidia's multiple looks strange relative to the strategic position the company actually occupies. The starting point is a shift in how semiconductor supply is being allocated. Historically, buyers with enormous volume like Apple could break long-term agreements with suppliers whenever they wanted. There was no meaningful consequence, because the supplier had nowhere else to go. That world is over. In the current cycle, there are at least four major memory buyers with genuine scale, plus a wave of AI startups adding to demand. The dynamic has flipped. If a hyperscaler breaks an LTA on price, the supplier can now retaliate by reallocating volume to a competitor. In a cyclical industry where oversupply is always followed by undersupply, breaking an LTA today can cost you your entire allocation the next time capacity gets tight. That leverage is one reason Nvidia's position is so unusual. Every constraint in the AI buildout tilts in its favor. Nothing on earth is more financeable than an Nvidia GPU. And on land and power, Nvidia is playing the matchmaking chess game between customers, energy suppliers, and infrastructure partners. The most interesting development Baker highlighted is Nvidia's new business model. He described it as a credit wrapper with a revenue share above a certain GPU price floor. Nvidia is financing customer deployments while retaining upside if GPU prices stay elevated. This converts Nvidia from a pure hardware vendor into something structurally closer to a cloud franchise via royalties on the compute being deployed on its chips. Nvidia could end up with an effectively massive cloud business very quickly, not through building data centers but through collecting royalties on the compute those data centers produce. The market is still pricing $NVDA as a semiconductor company. The company itself has already moved beyond that model. The gap between the two will eventually close. Invest Like the Best Patrick OShaughnessy Gavin Baker

Lumida Wealth Management

194,482 просмотров • 1 месяц назад

In 1995, NVIDIA was days from vaporizing. Jensen Huang flew to Japan, told SEGA the chip he owed them did not work, and then asked them to hand him $5 million anyway. Today NVIDIA is worth more than $4 trillion. This is him telling Joe Rogan the whole story, the confession that saved the company: NVIDIA had chosen the wrong graphics technology and ended up dead last. It was out of money, and it owed SEGA a game console it now knew it could not build. So Jensen flew to Japan and sat down with SEGA's CEO. "I said, listen, I've got some bad news for you. First, the technology we promised you does not work. Second, we should not finish your contract, because we'd waste all your money and you'd have something that doesn't work. And third, even though I'm asking you to let me out of the contract, I still need the money. Because if you didn't give me the money, we'd vaporize overnight." He asked SEGA to turn the final $5 million into an investment instead. "He said, it's very likely your company will go out of business, even with my investment. And it was completely true. Back then, in 1995, $5 million was a lot of money." SEGA's Irimajiri thought about it for two days and said yes. When Jensen asked why, the answer was almost nothing at all. "What he decided was, Jensen was a young man he liked. That's it." That $5 million kept NVIDIA alive. "If he had kept that investment, I think it would be worth probably about a trillion dollars today." Bookmark & watch ↓

Fireside Tapes

16,289 просмотров • 2 месяцев назад