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Yesterday, at their developer conference, Nvidia underlined their commitment to the advancement of Generative AI, GPUs, and robotics, showcasing several incredible advancements. Here's a quick run down: 🔥 Introducing Blackwell & NVLink Chips 🔥 Designed with generative AI at their core, the newly unveiled Blackwell and NVLink chips represent a monumental leap forward. Nvidia's strategic partnerships with tech titans such as Amazon, Oracle, Microsoft, and Google underscore their dominance in this space. 📊 Nvidia Inference Microservice (NIM) 📊 The launch of Nvidia Inference Microservice (NIM) marks a significant stride towards simplifying the integration of custom and pre-trained AI models into production environments. This platform promises to streamline the deployment process, enabling businesses to leverage AI solutions more efficiently and effectively. 🌐 Nvidia OVX: Powering Digital Twins 🌐 With the enhancement of Nvidia OVX, enterprises now have a more robust platform for crafting 3D scenes and simulations. Now with support for streaming to the Apple Vision Pro, OVX paves the way for more immersive digital twin experiences in industrial settings. 🤖 Project GROOT & Jetson Robotics Chips 🤖 Nvidia's Project GROOT and the introduction of new Jetson robotics chips are already powering human-to-robot training and simulation. Nvidia are at the helm of advancing robotics technology and fostering more intuitive, efficient human-robot interactions. 💡 The Soul of Nvidia: AI, Graphics, and Physics 💡 The keynote articulated the intersection of computer graphics, physics, and artificial intelligence as 'the soul' of Nvidia, highlighting the company's vision of creating more intelligent, responsive, and visually captivating technologies. 🎥 Disney BDX Robots 🎥 Wrapping up the keynote, Nvidia's CEO, Jensen Huang, introduced the Disney BDX robots, showcasing the practical applications of Nvidia's technological advancements in entertainment and beyond. #Nvidia #AI #GenerativeAI #Robotics #Innovation #TechnologyNews https://lnkd.in/eEutUMpn

💻 𝐁𝐥𝐚𝐜𝐤𝐰𝐞𝐥𝐥: A new platform announced by Nvidia. It is not a GPU but a platform for GPUs [1,2] 🤝 𝐁𝐥𝐚𝐜𝐤𝐰𝐞𝐥𝐥 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐬: It has two chips connected together and works like one giant chip [2,3] 🚀 𝐁𝐥𝐚𝐜𝐤𝐰𝐞𝐥𝐥 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬: Easy to install in existing Hopper systems and super fast data transfer between the chips [3,4] 🔌 𝐍𝐞𝐰 𝐜𝐡𝐢𝐩: 𝐌𝐯𝐲 𝐥𝐢𝐧𝐤 𝐬𝐰𝐢𝐭𝐜𝐡 - This chip allows every GPU to talk to every other GPU at full speed [5] 📦 𝐍𝐞𝐰 𝐬𝐲𝐬𝐭𝐞𝐦: Nvidia DGX with Blackwell - This system is an exaflop AI system in one single rack [6] 🤝 𝐏𝐚𝐫𝐭𝐧𝐞𝐫𝐬𝐡𝐢𝐩𝐬: Nvidia is working with AWS, Google, Oracle, Microsoft on adopting Blackwell [7,8,9,10] 🛠️ 𝐍𝐯𝐢𝐝𝐢𝐚 𝐀𝐈 𝐅𝐨𝐮𝐧𝐝𝐫𝐲: It provides pre-trained models and tools to help companies build generative AI applications [11] 🌐 𝐎𝐦𝐧𝐢𝐯𝐞𝐫𝐬𝐞: A simulation engine that creates a digital twin of the world [12] ☁️ 𝐎𝐦𝐧𝐢𝐯𝐞𝐫𝐬𝐞 𝐂𝐥𝐨𝐮𝐝: streams to the Nvidia Vision Pro [13] 🤖 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐆𝐫𝐨𝐨𝐭: A general purpose foundation model for humanoid robot learning [14] 🧠 𝐈𝐬𝐚𝐚𝐜 𝐋𝐚𝐛: A robot learning application to train robots [15] https://lnkd.in/dytb7ugW

In a recent conference, Nvidia Founder and CEO Jensen Huang shared insights into the AI revolution and Nvidia's pivotal role in shaping this transformative era. Huang highlighted the company's journey from pioneering GPU technology for gaming to becoming a leader in accelerated computing, which now powers a wide range of industries, including scientific computing, robotics, and autonomous vehicles. Huang emphasized the importance of accelerated computing, which can speed up applications by offloading specific tasks to specialized processors. This approach has led to significant advancements in data processing and machine learning, with Nvidia's GPUs accelerating tasks by up to 500 times. The company's focus on creating a consistent architecture has protected software developers' investments, enabling seamless transitions to new technologies. The discussion also touched on the inefficiencies of traditional data centers and Nvidia's efforts to modernize them. By densifying data centers and using liquid cooling, Nvidia aims to make them more energy-efficient and cost-effective. Huang noted that the demand for AI infrastructure is so great that every dollar spent translates to \$5 worth of rentals, highlighting the significant ROI for companies adopting these technologies. Huang expressed excitement about the potential of generative AI, which can translate data across different modalities, such as text to images or proteins to chemicals. This technology is not just a tool but a skill that augments human capabilities, creating digital employees for various tasks. Nvidia's use of AI in computer graphics and autonomous vehicles was highlighted as examples of its transformative impact. Addressing competition, Huang emphasized that AI is about infrastructure, not just chips. Nvidia's competitive advantage lies in its ability to design entire data centers, optimize software, and understand algorithms. The company's consistent architecture and large install base make it the obvious choice for AI development. Huang also discussed the rapid pace of innovation at Nvidia, exemplified by the Blackwell system, which is four times faster in training and 30 times faster in inference than its predecessor. He explained that Nvidia's methodology allows for continuous innovation by integrating multiple chips and optimizing across the entire stack. Regarding the supply chain, Huang acknowledged the complexities and geopolitical concerns but expressed confidence in Nvidia's ability to adapt. The company works with diverse partners and has intellectual property that allows for flexibility in manufacturing. In conclusion, Huang highlighted the responsibility Nvidia bears as a leader in the AI revolution, noting the intense demand and emotional investment of customers. Despite the challenges, he remains optimistic about the future, emphasizing the incredible applications and innovations made possible by AI. https://lnkd.in/guJB9gXe

For Nvidia, spatial AI and the ‘omniverse’ entering physical world may be the next big thing Spatial AI is needed to replicate the physical world, ensuring humans and intelligent machines can safely coexist.

Fascinating & Frightening Tech Updates to Kickstart Your Weekend 🚀 Happy Friday! Before you head off into the weekend, we've got some tech updates that are both fascinating and a bit daunting. When we thought things couldn't get more thrilling, with #Figure and #OpenAI's unveiling of their groundbreaking humanoid robot, #Nvidia steps up and steals the show. CEO Jensen Huang presented a new generation of AI superchips called #Blackwell that he says is destined to become “the engine of the new industrial revolution.” The chips are about twice the size of Nvidia’s previous AI-friendly GPUs and can be chained together for even more performance. Nvidia is on a mission to redefine its identity, aiming to become the Microsoft or Apple of AI platforms. Here’s why everyone's talking about #Blackwell and Nvidia's strategic move: 🔥 The Powerhouse: Blackwell GB200 GPU - Imagine a future where AI runs seamlessly, thanks to a chip with up to 20 petaflops of power. The GB200 GPU is a beast, and when paired with a Grace CPU, it’s unmatched in speed and efficiency. 🌍 Real-World Impact: From enhancing robotics with OpenAI and Figure's partnership to revolutionizing industries with Nvidia's Project GR00T and NIM software, #Nvidia is setting the stage for an AI-powered future where robots understand and interact in our world like never before.  🤖A New Era for AI: With Nvidia's tech, AI models can now reach a staggering 10 trillion parameters - leagues above OpenAI GPT-3’s 175 billion. 🤝 Strategic partnership: Amazon Web Services, Google Cloud, and Microsoft Azure are some of the platforms that have already signed up for the new tech. 📑 Our Take point: Nvidia's Blackwell isn't just another chip on the block; it's a groundbreaking platform that promises to be the engine of the new industrial revolution. This leap in computing power (we're talking a 1,000X increase in the past 8 years!) signifies a monumental shift in how we approach AI and technology as a whole.  For a deeper look, you can also check out this video: https://lnkd.in/e97iXHNi For the latest in tech and to dive deeper into the world of innovative software, stay tuned and don't forget to subscribe to #DeepSpaceSoftware

Unveiling Nvidia's Journey: From Gamer PCs to AI Dominance Read Aiden Heke, Decision Inc. Australia CEO, thoughts into how Nvidia's strategic foresight reshaped GPUs into the backbone of AI, fuelling their meteoric rise in the tech world. As Australia navigates the AI landscape, the race for innovation intensifies. Are we ready to compete? #Nvidia #AI #TechInnovation #Australia"

#ElonMusk's #xAI to launch the #Grok2 #AI model in August, using 100k #NVIDIA H100 GPUs to train the more advanced #Grok3. This investment underscores xAI's ambition to lead in AI development, leveraging powerful hardware to enhance AI capabilities. https://ow.ly/gQFj50Su954

🚀 X-Ai’s New 100k Nvidia A-100 Training Cluster: A Breakthrough in AI Infrastructure 🚀 X-Ai has just accomplished something remarkable—standing up a 100k Nvidia A-100 GPU training cluster in only 120 days! This cutting-edge infrastructure is poised to redefine what's possible in AI research and development. Here’s why this matters: Accelerated AI Innovation: With 100k GPUs, large-scale deep learning models can be trained faster, reducing bottlenecks in research. Powerful, Scalable Infrastructure: The Nvidia A-100 offers high memory, multi-instance capabilities, and unparalleled performance, opening doors to next-gen applications across industries. Operational Excellence: Completing a project of this magnitude in just 120 days demonstrates X-Ai’s commitment to efficiency and innovation. Stay tuned to see how X-Ai is shaping the future of AI. Exciting times ahead! #AI #DeepLearning #NvidiaA100 #TechInnovation #MachineLearning

🔬 Understanding Nvidia's New AI Powerhouse: Blackwell B200 GPU Nvidia has unveiled its groundbreaking Blackwell B200 GPU, setting new benchmarks in the AI domain. The Blackwell B200, distinguished by its massive 208 billion transistors, delivers an unparalleled 20 petaflops of FP4 horsepower, aiming to revolutionize AI model training and inference efficiency. A significant leap from its predecessor, the H100, the B200 not only accelerates performance but also slashes energy consumption and costs, marking a pivotal shift towards more sustainable AI operations. Paired with Nvidia's Grace CPU in the GB200 configuration, it promises up to 30 times enhanced performance for large language models (LLMs) while reducing energy usage by an astounding 25 times compared to previous setups. This innovation aligns with Nvidia's mission to democratize access to AI technologies, enabling more efficient training of massive models like those with trillions of parameters. Furthermore, the introduction of the GB200 NVL72, a powerhouse with nearly two miles of internal cabling, underscores Nvidia's commitment to scaling AI technology to new heights. Nvidia's approach extends beyond just hardware. Their second-gen transformer engine and innovative networking capabilities like the next-gen NVLink switch are set to redefine collaborative computing, enabling hundreds of GPUs to operate in concert seamlessly. The impact of Blackwell extends into the cloud as companies like Amazon, Google, Microsoft, and Oracle plan to integrate these advancements into their services, heralding a new era of AI accessibility and performance. In conclusion, Nvidia's Blackwell series represents not just an upgrade but a new paradigm in AI computing, promising to unlock unprecedented levels of efficiency and power in the AI and machine learning sectors. https://lnkd.in/ewAuY8bx #ai #nvidia #blackwell_b200