News from the AI & ML world
DeeperML
Niithiyn Vijeaswaran@AWS Machine Learning Blog
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Nvidia is making significant strides in artificial intelligence with new models and strategic partnerships aimed at expanding its capabilities across various industries. The company is building the world's first industrial AI cloud in Germany, equipped with 10,000 GPUs, DGX B200 systems, and RTX Pro servers. This facility will leverage CUDA-X libraries and RTX and Omniverse-accelerated workloads to serve as a launchpad for AI development and adoption by European manufacturers. Nvidia CEO Jensen Huang believes that physical AI systems represent a $50 trillion market opportunity, emphasizing the transformative potential of AI in factories, transportation, and robotics.
Nvidia is also introducing new AI models to enhance its offerings. The Llama 3.3 Nemotron Super 49B V1 and Llama 3.1 Nemotron Nano 8B V1 are now available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart, allowing users to deploy these reasoning models for building and scaling generative AI applications on AWS. Additionally, Nvidia's Earth-2 platform features cBottle, a generative AI model that simulates global climate at kilometer-scale resolution, promising faster and more efficient climate predictions. This model reduces data storage needs significantly and enables explicit simulation of convection, improving the accuracy of extreme weather event projections.
Beyond hardware and model development, Nvidia is actively forming partnerships to power AI initiatives globally. In Taiwan, Nvidia is collaborating with Foxconn to build an AI supercomputer, and it is also working with Siemens and Deutsche Telekom to establish the industrial AI cloud in Germany. Nvidia's automotive business is projected to reach $5 billion this year, with potential for further growth as autonomous vehicles become more prevalent. The company's full-stack Drive AV software is now in full production, starting with the Mercedes Benz CLA sedan, demonstrating its commitment to advancing AI-driven driving and related technologies.
ImgSrc: d2908q01vomqb2.
References :
Nvidia is also introducing new AI models to enhance its offerings. The Llama 3.3 Nemotron Super 49B V1 and Llama 3.1 Nemotron Nano 8B V1 are now available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart, allowing users to deploy these reasoning models for building and scaling generative AI applications on AWS. Additionally, Nvidia's Earth-2 platform features cBottle, a generative AI model that simulates global climate at kilometer-scale resolution, promising faster and more efficient climate predictions. This model reduces data storage needs significantly and enables explicit simulation of convection, improving the accuracy of extreme weather event projections.
Beyond hardware and model development, Nvidia is actively forming partnerships to power AI initiatives globally. In Taiwan, Nvidia is collaborating with Foxconn to build an AI supercomputer, and it is also working with Siemens and Deutsche Telekom to establish the industrial AI cloud in Germany. Nvidia's automotive business is projected to reach $5 billion this year, with potential for further growth as autonomous vehicles become more prevalent. The company's full-stack Drive AV software is now in full production, starting with the Mercedes Benz CLA sedan, demonstrating its commitment to advancing AI-driven driving and related technologies.
ImgSrc: d2908q01vomqb2.
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References :
- AWS Machine Learning Blog: The Llama 3.3 Nemotron Super 49B V1 and Llama 3.1 Nemotron Nano 8B V1 are now available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart.Â
- AI News | VentureBeat: Nvidia believes physical AI systems are a $50 trillion market opportunity
- www.tomshardware.com: Nvidia is building the 'world's first' industrial AI cloud—German facility to leverage 10,000 GPUs, DGX B200, and RTX Pro servers