4.6K
CANvidia is about to launch their own AI agent ecosystem for businesses…
#vibecoding #nemoclaw #nvidia
@casey.aicreates
#Envidia Ai Computing
世界中の人々によるEnvidia Ai Computingに関する件のリール動画を視聴。
ログインせずに匿名で視聴。
トレンドリール
(12)
36.2K
FO"Quantum computing is reaching an inflection point," Nvidia CEO Jensen Huang said at Nvidia’s GTC Paris conference.
Huang noted that Nvidia has more than 20 “AI factories” in development across the continent, promising European researchers and startups that their “GPU shortage will be resolved” soon.
The CEO also touched on Nvidia’s quantum computing efforts, spotlighting its hybrid quantum-classical platform, Cuda Q, and claiming that the technology could begin solving real-world problems in the next few years.
🔗 Click the link in the bio to read more.
@fortunemag
913.6K
LULa IA puede crear imágenes, videos y voces falsas de personas reales… incluso de tu familia.
Aquí te enseño cómo protegerte y prevenir estafas con IA de una forma simple y efectiva.
📲 Compártelo con tu familia y personas cercanas.
#InteligenciaArtificial #IA #SeguridadDigital #PrevenciónDigital
@luis.rene.navarro
4.8K
FONvidia is developing AI-powered modules for space-based data centers, as tech firms explore orbit as the next frontier for computing.
#forbes #forbesmiddleeast #nvidia #AI #فوربس_الشرق_الأوسط
@forbesmiddleeast
312.6K
HANVIDIA 是創造 AI 革命最關鍵的公司之一，也是全球最有價值的公司
但是他們曾經距離倒閉只剩下 30 天！全靠老黃的一波豪賭才撐了下來！
真的是科技史上最狂的故事之一
@harryspeaks_
6.1K
HPThe spotlight was shining bright on @NVIDIA AI Computing by HPE at GTC25. ⭐️ We followed HPE President and CEO Antonio Neri and NVIDIA Founder and CEO Jensen Huang to check out the innovation. HPE.com/AI
#HPE #AI #technology #innovation #leadership
@hpe
3.8K
ALJensen Huang stated that computing demand has increased one million times in two years.
Here’s the mechanics behind that number.
Two years ago, AI was mostly doing one thing: predicting the next word.
Fast, simple, low compute.
Today, AI reasons before it answers.
Models like o1, o3, DeepSeek R1 run hundreds of internal inference steps before producing a single output.
Each step costs compute.
Then multiply that by agents.
One user prompt in 2023 = roughly 1 inference call.
One agentic task in 2026 = potentially 10,000+ inference calls.
Scale that across millions of enterprise users running agents 24/7 and the demand curve stops looking like growth - it looks like a vertical line.
👉 Comment “Newsletter” to get smarter about AI every week - free tools, trends, and tactics that give you the edge
Media: Nvidia
#ai #innovation #futuretech #nvidia
@alphabizai
1.2M
ISIzohga “NUVI” deb yozing, telegram bot havolasini qo’lga kiriting ✅
Qolgan 2 sun’iy intellektlar ro’yxati:
2️⃣ Kimi - prezentatsiya va saytlar, lendinglarni professional tayyorlab beruvchi Sun’iy Intellekt
3️⃣ Higgsfield - jamiiyki trenddagi sun’iy intellektlar yig’ilgan aggregator 4-5ta odamga joy to’lgandan
@isroil.ai
14.5M
AINVIDIA might be funding the biggest AI feedback loop ever 🔄
This one feels almost too perfect.
NVIDIA sells the chips that power modern AI.
OpenAI needs more chips than almost anyone on Earth.
So here’s the twist 👇
OpenAI spends tens of billions buying NVIDIA GPUs to train frontier models. NVIDIA then turns around and invests a massive chunk of that money back into OpenAI.
Money flows in a circle.
Chips go out.
Equity comes back.
It’s not just a buyer and a supplier anymore. It’s a loop.
OpenAI gets the compute it needs to keep scaling. NVIDIA doesn’t just book hardware revenue, it buys a stake in OpenAI’s future upside.
Demand feeds growth. Growth feeds demand.
Why this matters:
Training next-gen AI could require power on the scale of entire cities. That means whoever controls the chips doesn’t just sell hardware. They shape who gets to compete at the top.
Zooming out:
• OpenAI is reportedly burning around $5B a year to scale 🚀
• Long-term valuation targets push toward $200B 📈
• NVIDIA locks in demand and equity at the same time 💰
Smart strategy… or a risky financial loop that only works while growth keeps accelerating?
@aiwhales_
#AI #ArtificialIntelligence #NVIDIA
@aiwhales_
223.4K
ROLink in bio for more on all the latest @nvidia announcements from CES!
NVIDIA just managed to shrink the power of a massive supercomputer into a device smaller than a desktop computer.
Traditional supercomputers fill entire buildings and require massive cooling systems.
But NVIDIA’s Project DIGITS delivers the same computing power in the palm of your hand.
Its GB10 chip processes information so efficiently it can be powered by a regular wall outlet
To understand its power: A regular laptop can handle AI that recognizes cat photos.
But DIGITS can teach AI to understand not just what a cat looks like, but to predict where a cat will jump next, calculate the physics of its landing, and simulate how thousands of cats might interact in different environments - all at the same time.
Launching this May for $3,000, NVIDIA is placing an AI supercomputer on the desks of every data scientist, AI researcher and student.
Tasks that once required access to billion-dollar facilities can now happen in a dorm room.
NVIDIA hasn’t just made a faster computer - they’ve democratized access to artificial intelligence.
#trendingreels #ai #nvidia #tech #future #computer
@rowancheung
2.8K
ACThe Power of CUDA in AI Development.
Acquired Podcast Episode: Nvidia: The Dawn of the AI Era (Audio)
This discussion highlights CUDA as the essential foundation for AI applications. It began as an innovation by NVIDIA to extend graphics cards into scientific computing. CUDA offers a complete development ecosystem, including a compiler, runtime, tools, a unique programming language (CUDA C++), and specialized libraries. It's compatible with all NVIDIA cards since 2006, providing a unified interface and optimized libraries, making it a flexible and well-supported choice for developers.
#reels #podcast #datacenter #nvidia
@acquired
1.7K
VIWelcome to the future of computing! 🚀
Introducing the MSI EdgeXpert AI Supercomputer — a compact yet insanely powerful system designed for AI developers, researchers and high-performance workloads.
Powered by the NVIDIA Grace Blackwell Superchip, this machine delivers petaflop-level AI performance right on your desk!
⚡ Key Highlights:
• Up to 1000 AI TOPS performance for heavy AI workloads
• 128GB LPDDR5x unified memory for smooth processing
• Runs large AI models (LLMs) locally up to 200B parameters
• Advanced NVLink-C2C architecture for ultra-fast CPU-GPU communication
• Compact size with massive power — true desktop AI supercomputer
💡 Perfect For:
✔ AI Development & Machine Learning
✔ Data Science & Research
✔ Robotics & Computer Vision
✔ Generative AI & LLMs
✔ Enterprise & Advanced Computing
This is not just a PC — it’s a next-gen AI workstation that brings data-center level power to your desk.
🛒 Available at:
Vishal Peripherals & Vishal Computech
📍 Stores: Secunderabad | Begumpet | Ameerpet | Visakhapatnam | Vijayawada
🌐 Online: www.vishalperipherals.com
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+91 7207772731
✉️ sanz@vishalperipherals.com
#MSIEdgeXpert #AISupercomputer #AIWorkstation #MachineLearningPC #DeepLearning NvidiaBlackwell AIComputing FutureTech TechIndia VishalPeripherals VishalComputech AISetup HighPerformanceComputing LLM GenerativeAI DataSciencePC AIIndia NextGenTech Supercomputer AIHardware InnovationTech
@vishalperipherals
✨ #Envidia Ai Computing発見ガイド
Instagramには#Envidia Ai Computingの下にthousands of件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。
ログインせずに最新の#Envidia Ai Computingコンテンツを発見しましょう。このタグの下で最も印象的なリール、特に@aiwhales_, @isroil.ai and @luis.rene.navarroからのものは、大きな注目を集めています。
#Envidia Ai Computingで何がトレンドですか？最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。
人気カテゴリー
📹 ビデオトレンド: 最新のReelsとバイラル動画を発見
📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索
🌟 注目のクリエイター: @aiwhales_, @isroil.ai, @luis.rene.navarroなどがコミュニティをリード
#Envidia Ai Computingについてのよくある質問
Pictameを使用すれば、Instagramにログインせずに#Envidia Ai Computingのすべてのリールと動画を閲覧できます。あなたの視聴活動は完全にプライベートです。ハッシュタグを検索して、トレンドコンテンツをすぐに探索開始できます。
パフォーマンス分析
12リールの分析
💡 トップ投稿は平均4.2M回の再生（平均の3.0倍）
週3-5回、活動時間に定期的に投稿
コンテンツ作成のヒントと戦略
💡 トップコンテンツは10K以上再生回数を獲得 - 最初の3秒に集中
📹 #Envidia Ai Computingには高品質な縦型動画（9:16）が最適 - 良い照明とクリアな音声を使用
✨ 多くの認証済みクリエイターが活動中（75%） - コンテンツスタイルを研究
✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長594文字
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Envidia Ai Computingを探索#ai computer#envidia#computer#computers#computing#computer ai#ai compute#computer computer