Wallace Rogers’ Post

Mind blown! Elon Musk's AI startup - xAI, in partnership with X and NVIDIA, has achieved a significant milestone in AI infrastructure. They've constructed what is potentially the world's most powerful AI training cluster, featuring: - 100,000 liquid-cooled H100 GPUs - Single RDMA fabric architecture - Estimated 2.5 exaflops of computing power This supercomputer cluster could potentially train GPT-4 scale language models in approximately one week! What's truly astonishing is the speed of deployment - the entire system was built in just 19 days!!!! The future of AI is unfolding before our eyes, and it's more exciting than ever. #AIInnovation #SuperComputing #TechBreakthrough #FutureOfAI #Nvidia #xAI

Elon Musk's xAI has just launched #Colossus, a groundbreaking #AI training system. Here's what you need to know: -100.000 Nvidia H100 GPUs -Built in just 122 days -Designed to train Grok-3, xAI's next-gen language model This move positions xAI as a formidable competitor to OpenAI and Google. Musk aims to create "the most powerful AI in the world" by December 2024. Plans are already in motion to double Colossus's capacity to 200,000 GPUs, including 50,000 of Nvidia's advanced H200 chips. As we witness this pivotal moment in AI, it's crucial to consider both the immense potential and the responsibilities that come with such technological power. #Supercomputing #ElonMusk https://lnkd.in/dN5eZqbF

🚀 Is it the processing power or the infrastructure holding you back? The answer could be both—but one is the ultimate game-changer. Think of AI as a racecar 🏎️: GPUs like NVIDIA DGX SuperPOD are the engine, but without a track (hint: storage infrastructure like Dell #PowerScale), even the fastest car won’t cross the finish line. Curious how scalable, certified storage is turbocharging AI innovation and eliminating bottlenecks? Race into our article to see how the right infrastructure unlocks the future of AI! 👉 https://dell.to/3ZgPwBp #AI #NVIDIA #iwork4dell

🚀 Breakthrough in AI Acceleration: Introducing FlashAttention-3! 🚀 FlashAttention has already revolutionized Transformer models by making attention 4-8x faster. Now, FlashAttention-3 takes it to the next level: ✨ 1.5-2x faster on FP16 compared to previous versions ✨ Achieves up to 740 TFLOPS on NVIDIA H100 GPUs (75% utilization) ✨ FP8 precision pushing close to 1.2 PFLOPS! Harnessing the power of modern GPUs, this update brings significant speedups in training and inference for large language models and other AI systems relying on attention mechanisms. What does this mean for AI development? Faster training More efficient inference Capability to work with even larger models The implications for research and practical applications are incredibly exciting! #AIInnovation #MachineLearning #FlashAttention #GPUComputing #TransformerModels

🚀 AI breakthroughs: Is it the processing power or the infrastructure holding us back? The answer is both—but one is the ultimate game-changer. Think of AI as a racecar 🏎️: GPUs like NVIDIA DGX SuperPOD are the engine, but without a track (hint: storage infrastructure like Dell #PowerScale), even the fastest car won’t cross the finish line. Curious how scalable, certified storage is turbocharging AI innovation and eliminating bottlenecks? Race into an article written by my amazing colleague, Richard Greenwalt, to learn more! 👉 https://dell.to/3ZgPwBp #AI #NVIDIA #iwork4dell

🌌✨ Introducing NVIDIA DGX GB200 NVL72: A Leap Into the Future of AI ✨🌌 We're thrilled to unveil the NVIDIA DGX GB200 NVL72, a monumental step forward in AI computing. This powerhouse connects two high-performance NVIDIA Blackwell Tensor Core GPUs with the NVIDIA Grace CPU via the cutting-edge NVLink Chip-to-Chip interface, achieving a staggering 900 GB/s bidirectional bandwidth. 🚀💾 What does this mean for AI? 📚 Enhanced NLP: Mastering complex tasks like translation and summarization at unprecedented speeds. 🤖 Advanced Conversational AI: Pushing the boundaries of chatbots and virtual assistants with deeper contextual understanding. 🎨 Creative AI: Fueling a new era of creativity, from poetry to coding. 🔬 Accelerating Science: Making strides in protein folding and drug discovery faster than ever. 🎭 Personalized AI: Crafting unique, rememberable interactions for personalized experiences. The DGX GB200 NVL72's liquid-cooled, exaflop-per-rack design sets a new industry standard, offering unparalleled real-time capabilities for trillion-parameter large language models (LLMs). 🌊💻 Embrace the future with us and explore the possibilities that the NVIDIA DGX GB200 NVL72 unlocks. Let's dive into a world where AI's potential is limitless. 🌍✨ #NVIDIADGX #AIRevolution #DeepLearning #Innovation #FutureIsNow

🌠 Revolutionizing AI and Deep Learning with NVIDIA A100 Tensor Core GPUs At Credence Tec, we are committed to helping businesses unlock the full potential of cutting-edge technology. The NVIDIA A100 Tensor Core GPUs are designed to power AI and deep learning workloads, providing massive speed-ups in AI model training and inference. 🌐 These GPUs are at the heart of some of the world’s most powerful data centers, enabling organizations to process vast amounts of data faster and more efficiently than ever before. With AI-driven advancements, businesses can accelerate their digital transformation, improve operational efficiency, and gain valuable insights at lightning speed. 👉 Interested in upgrading your infrastructure? Contact us at sales@credencetec.in to explore how we can support your IT needs with the latest in server and AI technology. #CredenceTec #NVIDIA #AI #DeepLearning #GPU #DataCenters #Innovation #Technology #DigitalTransformation #MachineLearning #TechSolutions #CloudComputing #ArtificialIntelligence #ITInfrastructure #BusinessGrowth #EnterpriseTechnology #FutureOfWork

What do you know about Nvidia Omniverse? By integrating 3D design, physics-based workflows and spatial computing, this platform lets users develop designs across Nvidia products, third-party apps and AI. Learn all about it here: https://bit.ly/3PSbk14 #Nvidia #Omniverse #3D #AI

Where is AI hardware heading? How far ahead is NVIDIA? Will my phone be able to crunch ML models like an Oreo in a kindergarten? Find our analysis in our newest blog! #nvidia #ai #hardware