Mark “Doobles” Deubel’s Post

🚀 The Dawn of a New Era: NVIDIA’s AI Revolution 🚀 In the ever-evolving landscape of technology, a titan rises, reshaping the future with every calculation. Join me in exploring Nvidia’s groundbreaking journey—a narrative of ambition, innovation, and the relentless pursuit of excellence. 🌟 From Pixels to Possibilities What began as a quest to perfect the pixel has transcended into a mission to empower the planet. NVIDIA, once synonymous with gaming graphics, now stands at the vanguard of the AI revolution. Under the visionary leadership of CEO Jensen Huang, NVIDIA has not just entered the $2 trillion club but has redefined it. 💡 Blackwell GPU: The Heartbeat of AI At the core of this transformation lies the Blackwell GPU. A marvel of American design and Taiwanese manufacturing prowess, this powerhouse propels us into the future, performing quadrillions of operations that fuel advancements across industries—from cinematic marvels to medical miracles. 🔍 Witness the Transformation Dive into the story of a dishwasher turned Silicon Valley legend. Discover how Jensen Huang’s relentless drive catapulted NVIDIA from humble beginnings to a global phenomenon. 🔗 Watch the Journey Unfold: https://lnkd.in/gGK9ZvyN As we stand on the brink of a new age, I invite you to witness the transformative power of AI. Let’s embrace the possibilities ✨ Join the conversation. Share your thoughts. Be a part of the revolution. #NvidiaAI #JensenHuang #AIRevolution #Innovation #Technology #FutureIsNow

It's amazing to see what NVIDIA and Inworld AI have done with Covert Protocol. This may only be a tech demo, but it shows us a lot about the future of everything from games to AI assistants. #AI #NVIDIA #Inworld https://lnkd.in/e6a9kFXS

🚀 Exciting News! Mistral AI and NVIDIA have teamed up to launch the Mistral NeMo 12B, a state-of-the-art language model designed for enterprise applications including chatbots, multilingual tasks, coding, and summarization. Combining Mistral AI’s training data expertise with NVIDIA’s optimized hardware and software ecosystem, this model provides high performance across various tasks. Guillaume Lample, co-founder and chief scientist of Mistral AI, highlights the collaboration’s benefits in creating a model with exceptional accuracy, flexibility, efficiency, and enterprise-grade support and security, thanks to NVIDIA AI Enterprise deployment. Key Features and Capabilities: 1. High Performance: Trained on NVIDIA DGX Cloud AI platform with NVIDIA TensorRT-LLM and NeMo development platform. 2. Multi-turn Conversations and Reasoning: Excels in handling complex tasks like math, common sense reasoning, world knowledge, and coding. 3. 128K Context Length: Processes extensive information accurately. 4. FP8 Data Format: Reduces memory size and speeds deployment without accuracy loss. 5. NIM Inference Microservice: Containerized for easy, optimized deployment anywhere. 6. Enterprise-Grade Support: Includes comprehensive support, access to NVIDIA AI experts, and strict validation processes. Model Efficiency and Deployment: • Fits on single NVIDIA L40S, GeForce RTX 4090, or RTX 4500 GPUs. • Designed for optimal performance with efficient model parallelism, scalability, and mixed precision using Megatron-LM. • Trained with 3,072 H100 80GB Tensor Core GPUs on DGX Cloud. Availability: • Mistral NeMo can be experienced via ai.nvidia.com, with a downloadable NIM coming soon. This model’s release under the Apache 2.0 license promotes innovation and integration into commercial applications, offering high efficiency, low compute cost, and enhanced security and privacy for enterprise use. Link:https://lnkd.in/erKe7ruc #MistralNeMo #AI #MachineLearning #LanguageModel #EnterpriseAI #NVIDIA #MistralAI #Innovation #TechNews #AIModel #Chatbots #Coding #Summarization #AIEnterprise #TechCollaboration

taking this AI Nvidia class with Jensen Huang

Must read this blog! its an overview of the evolution and capabilities of artificial intelligence (AI), particularly in content generation and performance enhancement. It discusses the use of generative AI to create new content based on various inputs, such as text, images, sounds, and 3D models. Also, it highlights AI systems' self-learning ability, enabling them to perform tasks autonomously and adapt to new inputs. Furthermore, it emphasizes the role of AI in enhancing visual quality in gaming and improving interactions with characters. It showcases the impact of AI in various domains, including gaming, video editing, and data analysis. It also mentions the availability of AI-related tools and accelerations for RTX AI PC users. Overall, it underscores the transformative and disruptive nature of AI and its potential to revolutionize diverse industries. #AIContentGeneration #GenerativeAI #NVIDIAAI #RTXAI #GeForceRTX #NVIDIARTXWorkstations #AIforCreators #AIforgamers #NVIDIABroadcast #ChatwithRTX #TensorRT #AIinVideoEditing #MagicMask #NVIDIAACE #RTXRemix #TensorRT-LLM #AIinGaming #AIinTextApplications

NVIDIA #GTC24 is in the books. Here are my five key takeaways: https://lnkd.in/gYpri7zs -Nvidia is the undisputed #AI leader -We are in the early stages of AI -AI and #GPUs can help with sustainability -NIMs are the new CUDA -Vertical integration is good for AI Check out my post on SiliconANGLE & theCUBE Melissa (Mel) Beck - Ruby, Kristine Neufeld

https://lnkd.in/dmJFGfVe Nvidia has been a significant player in the AI field, consistently pushing the boundaries of what's possible with their technology. Recently, they have made headlines with their advancements in generative AI, which is a type of artificial intelligence focused on creating new content, whether it be text, images, or even code. Their latest developments have been particularly noteworthy because they have introduced new capabilities that could potentially surpass the functionalities of existing AI models like ChatGPT. At the core of Nvidia's innovation is their new line of Tensor Core GPUs, which are designed to accelerate AI performance significantly. These GPUs are a part of the GeForce RTX SUPER series, which includes models like the RTX 4080 SUPER, known for its ability to generate AI video and images at speeds 1.5x and 1.7x faster than its predecessors. This leap in performance is crucial for applications that require real-time processing and high-quality results, such as video editing, game development, and complex simulations. Furthermore, Nvidia has expanded its AI offerings with software and tools that cater to both developers and consumers. For instance, the NVIDIA TensorRT acceleration of the Stable Diffusion XL model enhances text-to-image workflows, allowing for more creative and efficient design processes. Additionally, the company has introduced AI Workbench, a toolkit that simplifies the development of AI applications, and Chat with RTX, a tech demo that enables interactive engagement with AI-generated content. Nvidia's CEO, Jensen Huang, has emphasized that generative AI represents a significant platform transition in computing history, one that will transform every industry, including gaming. With over 100 million RTX AI PCs and workstations, Nvidia has established a vast installed base for developers and gamers to experience the benefits of generative AI. This focus on generative AI is not just about enhancing current technologies but also about driving new experiences and possibilities. In summary, Nvidia's recent announcements and product launches indicate a strong commitment to advancing AI technology, particularly in the realm of generative AI. Their new GPUs and software tools are set to provide unprecedented levels of performance and flexibility, enabling a wide range of AI applications and potentially setting a new standard in the industry. As AI continues to evolve, it will be interesting to see how Nvidia's innovations will shape the future of computing and creativity.

What Exactly Does NVIDIA Do, and Why Should You Care? 🤔 🔎 Discover what drives their success and impact on customer experience with insights from Zeus Kerravala of ZK Research https://lnkd.in/eKuT7VE3 #NVIDIA #AI #TechInnovation #CustomerExperience #GPUs 💡

Are SLMs more accurate than LLMs? Maybe not always, but apparently one is. I didn't know (but feel I should have intuitively) that one of the ways AI engines are scored is accuracy. And a new small language model from Mistral AI and Nvidia scores higher for accuracy than some well known LLMs. Is it a matter of smaller is better or is the difference that makes the difference the fact that to keep SLMs small, it's necessary to be more choosy about what content is used to train them? https://lnkd.in/gp3tYngK

Experience the future with NVIDIA ACE. Explore breakthrough generative AI technologies empowering digital human interactions across industries, from gaming to healthcare. Read the full news - https://lnkd.in/dBBZGv4z #AI #generativeai #healthcare #LLM #techedgeai #technology #innovation