Eze Vidra的动态

Did you know the real winners of the Gold Rush weren’t the ones digging for gold? ?? It was the people selling the shovels who cashed in. And right now, the same thing is happening in AI. Look at NVIDIA: since 2019, their stock has exploded by over 2500%, going from under $5.00 to more than $130.00. The reason? They’re not just chasing AI breakthroughs—they're enabling them. Their GPUs are powering AI advancements for companies like Microsoft, Meta, and OpenAI. While everyone’s racing to build the next big thing in AI, NVIDIA is playing a different game: they’re providing the infrastructure every AI company needs to compete. And they're winning big. The real question: In this modern AI gold rush, would you rather be digging for gold, or selling the shovels? Let’s talk. Where do you see the biggest opportunity in AI right now? #AI #NVIDIA #TechGrowth #DataScience #Innovation #BusinessStrategy #ArtificialIntelligence #Investing

?? Can you imagine putting together 100,000 of Nvidia’s state-of-the-art AI chips and it's outcome? Elon Musk’s xAI is about to find out. Musk says his AI startup built a record-setting Nvidia-powered supercomputer in just 122 days, a feat of engineering that could redefine the frontiers of AI. ?? Now, the largest GPU supercomputer in the world is online and ready to work. ?? In the context of AI, size really matters. Supercomputers gives AI models capability of intensive training and bulking up on data to become smarter and more capable. That explains why each of the major players is sprinting to get their hands on as many Nvidia chips as possible, paying as much as $40,000 for each. ?? Launched in 2023, xAI is a relative newcomer. But with plans to double Colossus's size in months (with 50,000 next-gen H-200s), it isn’t just entering the race — it’s trying to lap the competition. It’ll likely be used to train Grok-3, which could become the world’s next state-of-the-art model thanks to Colossus ?? Designing and building the infrastructure to use them all at once is an entirely different story. Meta, for instance, is trying to gather as many as 600,000 chips for future projects. But it reportedly used just 16,000 to train the largest version of Llama 3. Whether it's developing more sophisticated language models or tackling complex scientific problems, the race for computational supremacy is far from over. #AI ##DigitalTransformation #NVIDIA #xAI

What happens if you string together 100,000 of Nvidia’s state-of-the-art AI chips? - Colossus Elon Musk’s xAI is about to find out. Musk says his AI startup built a record-setting, Nvidia-powered supercomputer in just 122 days — a feat of engineering that could redefine the frontiers of AI. Now, the Memphis-based Colossus — considered the largest GPU supercomputer in the world — is online and ready to work. Why does size matter in the world of AI?? Supercomputers are like the gyms where AI models train, bulking up on data to become smarter and more capable Generally, the more processing power, the more complex an LLM can become Launched in 2023, xAI is a relative newcomer But with plans to double Colossus's size in months (with 50,000 next-gen H-200s), it isn’t just entering the race — it’s trying to lap the competition It’ll likely be used to train Grok-3, which could become the world’s next state-of-the-art model thanks to Colossus Why it matters: In the AI industry, more compute means more power. That explains why each of the major players is sprinting to get their hands on as many Nvidia chips as possible, paying as much as $40,000 for each. But collecting a war chest of chips is only half the battle: Designing and building the infrastructure to use them all at once is an entirely different story. Meta, for instance, is trying to gather as many as 600,000 chips for future projects. But it reportedly used just 16,000 to train the largest version of Llama 3. Whether it's developing more sophisticated language models or tackling complex scientific problems, the race for computational supremacy is far from over.

Exciting news for AI enthusiasts! ?? NVIDIA has just announced a game-changing acceleration for Meta Llama 3 inference, propelling the capabilities of large language models (LLMs) to unprecedented heights. Here’s why this is a big deal: ???Optimized Performance: With NVIDIA’s optimizations, Meta Llama 3 is now turbocharged across all platforms, ensuring peak performance and efficiency. This is a quantum leap for developers and researchers working with LLMs. ???Global Accessibility: Whether you’re in the cloud, a data center, or on your personal PC, the accelerated Llama 3 is ready for you. This democratizes access to cutting-edge AI, fostering innovation across the globe. ???Developer-Friendly Tools: NVIDIA isn’t just about hardware; they’re equipping us with powerful tools like NeMo and TensorRT-LLM to fine-tune and optimize our AI applications. It’s time to turn those AI dreams into reality! ???Community and Collaboration: By optimizing community software and contributing to open-source projects, NVIDIA is ensuring that AI advances safely and transparently. This collaborative spirit is what drives the AI field forward. ???Impactful Reach: With over 100 million NVIDIA-accelerated systems worldwide, your work has the potential to make a significant impact. Let’s harness this power to create AI that benefits everyone. #AI #MachineLearning #NVIDIA #Innovation #Technology #llama3

Imagine AWS and NVIDIA, two big players in tech, joining forces. They're basically teaming up to make AI (that's artificial intelligence) even more powerful and accessible. Now, they've unveiled something called the NVIDIA Blackwell GPU platform at an event called GTC 2024. This fancy platform is now being brought over to AWS. What's so cool about it? Well, it's like giving AI a supercharger! With this partnership, AI models can run faster, be more secure, and cost less to use. And when I say AI models, I mean those smart computer programs that can do things like understand language, recognize images, and tons of other stuff. So, what's the bottom line? It means we're on the brink of some seriously cool advancements in AI. Get ready to see some mind-blowing innovations! ?? #AWS #NVIDIA #AIInnovation #AI

Recent news on A.I.: Elon Musk's company, xAI, is planning to build a giant supercomputer by Fall 2025. This project, dubbed the "Gigafactory of Compute," aims to be a game-changer in AI research. Here's a quick rundown of the latest: * **Purpose:** Train and develop the next generation of xAI's large language model, Grok. * **Scale:** Massive! It will use 100,000 Nvidia's H100 GPUs, making it at least four times larger than any existing GPU cluster. * **Potential Partner:** Oracle might be collaborating on the project. * **Target Date:** Fall 2025. Elon Musk is reportedly very committed to this timeline. * **Goal:** Surpass competitors like Google's DeepMind and OpenAI in AI development. This ambitious project has the potential to significantly advance AI capabilities, but we'll have to wait and see if xAI meets its aggressive deadline. More from Perplexity : https://lnkd.in/gaVg2VBV

The Race to AI... We live in such an exciting time! The earth once stood still for a day to witness humans walking for the first time on the moon. In the years to come we will recount for our children's children how we were there to see AI take it's very first steps. The Race is on and trillions are estimated to be at stake. Some Companies we've never heard of might become the next big blue chip while some industry leaders we know (and maybe even love) will be relegated to ruin. Companies everywhere are scrambling to figure out how leverage AI's deep learning to provide services more swiftly, identify patterns never before possible, and dramatically improve their bottom lines. As exciting as it sounds, we have only witnessed the tip of the iceberg. Many folks first introduction to AI starts with ChatGPT. All of the sudden people's eyes were opened to seeing powerful and practical uses for AI. Having seen the future in one brief vision, corporations have stirred to action much like an agitated ant hill. WHY DO I SAY WE ARE ONLY SEEING THE TIP OF THE ICEBERG? AI requires massive amounts of computing power. I was fortunate enough to get my first glimpse of the future around 2015 which led me to buy NVDIA at a little over $5 a share. Today NVDIA is trading over $900 per share and my portfolio really enjoyed riding the first wave of AI. As a PC gamer I had been buying NVIDIA graphics cards for a couple of decades because their graphics processors outperformed the competition making my games run better, faster, and at higher resolutions. I came to a conclusion that NVIDIA seemed to be years ahead of other chip makers in producing GPUs, making it the logical choice that they would benefit from the adoption of AI. It's now difficult to have a discussion in the news about AI without hearing about either NVIDIA or who's trying to compete with NVIDIA. WHAT IS COMING NEXT? Much like the creation and expansion of the internet, AI will completely transform (and in some cases) disrupt our lives. NVIDIA is just the start. Think about all the hardware, software, & services that will dramatically evolve over the next 10 years. It's staggering! IMAGINE?!?!? Years ago the United States transformed from an economy which makes things to an economy that provides services. The things we used to make are now made overseas for less money. [Enter AI]. AI can be used to make things better, faster, & more cheaply than ever before. So what happens if the future of manufacturing requires more highly trained technical talent working in the most sophisticated facilities in the world than ever before? Could Manufacturing come back to the U.S.? What Opportunities do you think will arise with AI? Let me know your thoughts.

Amazon’s new AI chip is set to dethrone Nvidia reign. But here’s where it gets even more interesting- Trainium 2 isn’t just 50% cheaper, it’s also 4X faster at training models. With 100,000 chips, you can handle bigger models and tackle more complex tasks. And it gets better, Amazon is also investing $110 million in AI research credits for developers. This could completely? flip the script for AI research and generative AI applications. Amazon’s vision is clear- They want to challenge Nvidia while still playing nice within their ecosystem. PS: How do you think Trainium 2 will impact AI projects moving forward?

Still think AI is a fad? ???????? ???? ????????. ?? In about 37 days, NVIDIA has added $1 trillion to its market cap. ????’?? ?????? ?????????????? ????????. Ever. ?? $1 trillion in 37 days? That’s not a misprint.? ?? Not some weird market glitch.? ?? People aren’t gaming the system like Gamestop. ???? ???????? ??????????? The rest of the world seems to finally understand that our future is AI everywhere. (We told you in July of LAST YEAR that NVIDIA is the most important company in the U.S., and possibly the world, but y'all were still sleeping on AI.) ?????? ?????????????????????? ???? ????????? Well, this kinda meteoric rise has legit ?????????? ???????????????? in U.S. history. Like…. Ever. Not even close. ?????? ?????? ?????????? ?????????? ?????????????????? ???????? ???????? ?????????? $1 ???????????????? ???? ?????????? ???????????? ??????? ?? Apple -- about 15 months.? ?? Amazon -- about 10 months.? ?? Microsoft -- about two years.? ?? Google -- About 22 months.? ? NVIDIA -- about 37 days. Sheeeeesh. What’s special about NVIDIA? They were ???????? ?????????? ???? ?????? ???????????????????? ???? train. You can almost say they’re driving it. And powering it. ?? All of those Generative AI systems we use?? ?? The Large Language Models?? ?? The AI-powered Enterprise software your biz can’t live without? ? All (very likely) powered by NVIDIA’s GPUs. ???? ?????? ?????? ?????? ???? ???????? ?????????????? ?????????? ??????. If you haven’t already gone all-in on Generative AI, you need to. The old saying is ???????????? ?????? ??????????. ?? Well, that’s where the money is. Follow it. And follow Everyday AI. We’re your free, daily guide on how you can not just keep up with Generative AI, but get ahead. Like NVIDIA. = P.S. if this was helpful, hit that ?? repost button ?? and share with your network. Got a ???????????? ?????????????????? ?????????????? for all who do.?