I appreciate the opportunity to write about Generative AI as a member of the Forbes Technology Council. Here is the article.
Great article Marc! Would love to hear more!
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I appreciate the opportunity to write about Generative AI as a member of the Forbes Technology Council. Here is the article.
Great article Marc! Would love to hear more!
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In this Forbes article, Recogni CEO Marc Bolitho discusses the growing energy demands of generative AI technologies and their impact on the environment. He also highlights strategies for managing these demands sustainably while fostering innovation in the AI sector. https://lnkd.in/eRMWksBf #Recogni #GenerativeAI #EnergyEfficiency
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NVIDIA is pushing the boundaries of AI across energy efficiency, autonomous decision-making, virtual training, and space exploration. Key Highlights: 1. Transition to Intention-Level Computing: • NVIDIA is moving from traditional instruction-based computing to intention-level computing, where AI systems understand and act based on user intent, leading to more natural and proactive human-computer interaction. 2. Agentic AI: • The introduction of agentic AI, where AI agents autonomously manage and optimize industrial processes in real time. These agents can communicate across various business areas (e.g., manufacturing and supply chains) to enhance efficiency and productivity. 3. Energy Efficiency Gains: • NVIDIA has achieved a 100,000x reduction in energy consumption over the last decade for certain AI processes, making their systems much more energy-efficient. This includes a 200x reduction in energy consumption for AI training. 4. Blackwell Platform: • The Blackwell platform is NVIDIA’s next-generation AI infrastructure, designed for accelerated computing and full-stack optimization. This includes the use of AI superclusters and the CUDA libraries for advanced AI workloads. 5. Omniverse and Digital Twins: • The Omniverse platform allows the use of virtual environments to train AI systems that will operate in the real world. This is crucial for industries like manufacturing, where AI can be trained virtually before deployment in physical environments. 6. Confidential Computing for AI Security: • NVIDIA has integrated confidential computing to protect large language models (LLMs) and ensure the security of AI data. This is critical for safeguarding sensitive information during AI training and usage. 7. Real-Time Detection of Fast Radio Bursts (FRBs): • NVIDIA’s technology is enabling real-time detection of FRBs from distant galaxies, enhancing the search for extraterrestrial life by analyzing these high-energy signals from deep space almost instantaneously.
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Neither East nor West will find building the next wave of generative AI easy
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🚀 NVIDIA's Llama 3.1 Nemotron is rewriting the AI playbook! 🧠 With just 70B parameters, it's outperforming giants like GPT-4. 🔓 Open-source and packing a punch, this model is a game-changer for developers and researchers. 💻 Want to know how NVIDIA is revolutionizing AI language models? Click to dive into our in-depth analysis of Nemotron's capabilities and what it means for the future of AI! https://lnkd.in/g85Cfhz9 #NVIDIANemotron #AIInnovation #OpenSourceAI
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🤖 AI: Power with Constraints 🔒 As AI reshapes industries, it’s crucial to address its constraints: 📉 Data Limitations: AI is only as good as the data it’s trained on. ⚖️ Ethical Challenges: Biases in algorithms can have real-world consequences. 🔋 Compute Dependency: High energy and computing power requirements. 🤔 Lack of Generalization: AI struggles with tasks outside its training scope. To unlock AI’s full potential, we need innovation paired with responsibility. Let’s build a future where technology serves humanity sustainably! 🌍 #ArtificialIntelligence #AIChallenges #EthicsInTech #Innovation #Sustainability #TechForGood #AIConstraints
Neither East nor West will find building the next wave of generative AI easy
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Nice discussion on AI and Arm Holdings by Blake Anderson, CFA of our team! Every time I read something like this I learn something more and become more excited about the future. https://lnkd.in/gs9YENsz
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Is the electric grid ready for AI? Most objective observers recognize its not ready for rapid adoption of EVs.
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Enterprise AI reports about a study saying "Generative AI to Account for 1.5% of World’s Power Consumption by 2029" - which is based on current state technology that might still change https://lnkd.in/eUWagEvW. #powerconsumption #generativeai #artificialintelligence #enterpriseai
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𝐓𝐡𝐞 𝐬𝐞𝐜𝐫𝐞𝐭 𝐭𝐨 𝐟𝐚𝐬𝐭𝐞𝐫 𝐀𝐈? 𝐈𝐭’𝐬 𝐚𝐥𝐥 𝐢𝐧 𝐭𝐡𝐞 𝐦𝐞𝐦𝐨𝐫𝐲! 🚀 𝐻𝐵𝑀 𝑜𝑟 𝐺𝐷𝐷𝑅6: which one unlocks the full potential of your AI models? Explore this head-to-head comparison and discover the impact of memory on AI performance. Dive into our blog to access the secret: https://lnkd.in/dPa6usiZ Don’t miss out on more AI insights - 𝑓𝑜𝑙𝑙𝑜𝑤 and 𝑠𝑢𝑏𝑠𝑐𝑟𝑖𝑏𝑒 to blog.neevcloud.com #GPU #AI #NeevCloud #HBM #GDDR #MemoryOptimisation
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Breaking Barriers: Elon Musk's xAI Supercomputer Reshapes the AI Landscape In the ever-evolving world of artificial intelligence, we've just witnessed a breakthrough that many experts deemed impossible. Elon Musk's xAI has unveiled a supercomputer that doesn't just push the boundaries of what's possible – it shatters them entirely. #xAI #supercomputer #ai #elonmusk
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Very nice and informative article Marc. Well done.