nvidia gtc
Nvidia to invest 5bn in Intel after Trump administration's 10% stake
Nvidia's CEO, Jensen Huang, talks during the keynote address of Nvidia GTC on 18 March 2025 in San Jose, California. Nvidia's CEO, Jensen Huang, talks during the keynote address of Nvidia GTC on 18 March 2025 in San Jose, California. Nvidia to invest $5bn in Intel after Trump administration's 10% stake Nvidia, the world's leading chipmaker, has announced plans to invest $5bn in Intel and collaborate with the struggling semiconductor company on products. A month after the Trump administration confirmed it had taken a 10% stake in Intel - the latest extraordinary intervention by the White House in corporate America - Nvidia said it would team up with the firm to work on custom datacenters that form the backbone of artificial intelligence (AI) infrastructure, as well as personal computer products. Intel shares jumped nearly 23% after markets closed, making it the largest one-day percentage gain for the company since 1987.
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Microsoft to showcase purpose-built AI infrastructure at NVIDIA GTC
Join Microsoft at NVIDIA GTC, a free online global technology conference (GTC), March 20 to 23 to learn how organizations of any size can power AI innovation with purpose-built cloud infrastructure from Microsoft. Microsoft's Azure AI supercomputing infrastructure is uniquely designed for AI workloads and helps build and train some of the industry's most advanced AI solutions. From data preparation to model and infrastructure performance management, Azure's comprehensive portfolio of powerful and massively scalable GPU-accelerated virtual machines (VMs) and seamless integration with services like Azure Batch and open-source solutions helps streamline management and automation of large AI models and infrastructure. Attend NVIDIA GTC to discover how Azure AI infrastructure optimized for AI performance can deliver speed and scale in the cloud and help you reduce the complexity of building, training, and bringing AI models into production. Don't miss session S52469 featuring Nidhi Chappell, a recipient of the 2023 People to Watch, recognized as a high-performance computing (HPC) luminary by HPCwire.
Microsoft Shares What's Next In Machine Learning At NVIDIA GTC - Liwaiwai
Finding scalable solutions for today's global challenges requires forward-thinking, transformative tools. As environmental, economic, and public health concerns mount, Microsoft Azure is addressing these challenges head on with high-performance computing (HPC), AI, and machine learning. The behind-the-scenes power for everything from MRI scans to energy management and financial services, these technologies are equipping customers and developers with innovative solutions that break through the boundaries of what's possible in data and compute, paving the way for growth opportunities that span industries and applications around the world. Microsoft Azure is committed to unlocking these new opportunities for our customers, providing the broadest range of NVIDIA GPUs at the edge, on-premises, in the cloud, and for hybrid environments. At NVIDIA GTC we will demonstrate this commitment by showing how Azure's advanced HPC capabilities, and AI/machine learning in the cloud are driving transformation and making an impact together with NVIDIA's latest technology.
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Microsoft shares what's next in machine learning at NVIDIA GTC
Finding scalable solutions for today's global challenges requires forward-thinking, transformative tools. As environmental, economic, and public health concerns mount, Microsoft Azure is addressing these challenges head on with high-performance computing (HPC), AI, and machine learning. The behind-the-scenes power for everything from MRI scans to energy management and financial services, these technologies are equipping customers and developers with innovative solutions that break through the boundaries of what's possible in data and compute, paving the way for growth opportunities that span industries and applications around the world. Microsoft Azure is committed to unlocking these new opportunities for our customers, providing the broadest range of NVIDIA GPUs at the edge, on-premises, in the cloud, and for hybrid environments. At NVIDIA GTC we will demonstrate this commitment by showing how Azure's advanced HPC capabilities, and AI/machine learning in the cloud are driving transformation and making an impact together with NVIDIA's latest technology.
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Save the date: Join AWS at NVIDIA GTC, September 19–22
Register free for NVIDIA GTC to learn from experts on how AI and the evolution of the 3D internet are profoundly impacting industries--and society as a whole. We have prepared several AWS sessions to give you guidance on how to use AWS services powered by NVIDIA technology to meet your goals. Amazon Elastic Compute Cloud (Amazon EC2) instances powered by NVIDIA GPUs deliver the scalable performance needed for fast machine learning (ML) training, cost-effective ML inference, flexible remote virtual workstations, and powerful HPC computations. AWS is a Global Diamond Sponsor of the conference. Scaling Deep Learning Training on Amazon EC2 using PyTorch (Presented by Amazon Web Services) [A41454] As deep learning models grow in size and complexity, they need to be trained using distributed architectures.
Join Google Cloud at NVIDIA GTC
Join Google Cloud at NVIDIA GTC (register for free here) to understand how Google Cloud and NVIDIA are able to help you conquer challenges. We'll show you how to accelerate your artificial intelligence (AI) machine learning (ML) and High Performance Computing (HPC) workloads. Join "Accelerate Your AI and HPC Journey on Google Cloud (Presented by Google Cloud) -- S42583" to hear how NVIDIA GPUs power Google's AI/ML portfolio and review five different ways to deploy and manage NVIDIA GPUs on Google Cloud. We'll also hear from automotive companies, how they're innovating and revolutionizing the industry. "Nuro's perception team has accelerated their AI model development with Vertex AI NAS. Vertex AI NAS have enabled us to innovate AI models to achieve good accuracy and optimize memory and latency for the target hardware. Overall, this has increased our team's productivity for developing and deploying perception AI models."
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Join Google Cloud at NVIDIA GTC
Join Google Cloud at NVIDIA GTC (register for free here) to understand how Google Cloud and NVIDIA are able to help you conquer challenges. We'll show you how to accelerate your artificial intelligence (AI) machine learning (ML) and High Performance Computing (HPC) workloads. Join "Accelerate Your AI and HPC Journey on Google Cloud (Presented by Google Cloud) -- S42583" to hear how NVIDIA GPUs power Google's AI/ML portfolio and review five different ways to deploy and manage NVIDIA GPUs on Google Cloud. We'll also hear from automotive companies, how they're innovating and revolutionizing the industry. Google is the only Cloud Service Provider (CSP) to have single Accelerator Optimized VM leverage up to 16 NVIDIA A100 GPUs supported by NVIDIA's NVlink fabric, reaching effective performance of up to 10 petaflops of FP16 or 20 petaOps of int8 in a single VM.
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Top AI and Data Science Tools and Techniques for 2022 and Beyond - KDnuggets
Want to know how artificial intelligence will change business in the next decade? World-class Kaggle Grandmasters, top data professionals, and influencers across several industries are gathering to inspire you with the most exciting data science advances. At NVIDIA GTC, they'll show you how to build and optimize AI and data science solutions that are faster, more efficient, and yield better results than previous solutions. Every year, new data science techniques and tools emerge. Some practitioners build their ideas upon published papers. Others try their hand at entirely different methods based on what they learned during their thesis work or even Kaggle competitions.
World-leading AI research and inclusion at the forefront of this year's NVIDIA GTC
This article is part of the VB Lab / NVIDIA GTC insight series. "The story of GTC is in many ways the story of NVIDIA, and it's also the story of what's happening in technology," says Greg Estes, VP of corporate marketing and developer programs at NVIDIA. Twelve years ago, GTC began as a conference focused squarely on GPUs, and at that time, that meant primarily graphics and gaming. "But then people figured out that GPUs are the perfect architecture for AI," says Estes. GTC is now billed as the conference for AI innovators, developers, technologists, startups and creatives, and this year it will offer over 1,500 sessions covering breakthroughs in AI, data center, accelerated computing, autonomous vehicles, health care, intelligent networking, game development, and more.
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