Generative AI refers to artificial intelligence algorithms that can generate new, original content or data that is similar but not identical to the training data it has been fed. This could include anything from text, images, and videos to simulations and even new music compositions. Unlike traditional AI, which analyzes input to produce a predefined output, generative AI takes it a step further by producing something entirely new, offering a wide array of innovations and applications.
Generative AI is impacting every industry today—from renewable energy forecasting and drug discovery to fraud prevention and wildfire detection. Putting generative AI into practice will help increase productivity, automate tasks, and unlock new opportunities. See our recommended solutions for GenAI workloads below.
An NVIDIA Grace Hopper Superchip HPC/AI ARM Server in a 2U 4-Node 24-Bay Gen5 NVMe SKU. Designed and optimized for AI, AI Training, AI Inference & Generative AI workloads.
The NVIDIA Hopperâ„¢ architecture is powering the next generation of accelerated computing with unprecedented performance, scalability, and security for every data center.
Higher Performance and Faster Memory—Massive Bandwidth for Compute Efficiency
The NVIDIA GH200 Grace Hopper™ Superchip is a breakthrough accelerated CPU designed from the ground up for giant-scale AI and high-performance computing (HPC) applications. The superchip delivers up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world’s most complex problems.
An NVIDIA Grace HPC/AI ARM Server in a 2U 4-Node 16-Bay Gen5 NVMe SKU. Designed and optimized for Generative AI workloads.
The NVIDIA Grace™ architecture is designed for a new type of emerging data center—AI factories that process and refine mountains of data to produce intelligence.
By embracing generative AI, both startups and large organizations can immediately extract knowledge from their proprietary datasets, tap into additional creativity to create new content, understand underlying data patterns, augment training data, and simulate complex scenarios/span>
How LLMs are Unlocking New Opportunities for Enterprises
Applications powered by large language models can help enterprises automate these and many other tasks, helping them to streamline their operations, decrease expenses, and increase productivity. Download the ebook to learn more.
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade AI applications, including generative AI. Enterprises that run their businesses on AI rely on the security, support, and stability provided by NVIDIA AI Enterprise to ensure a smooth transition from pilot to production.
Generative AI refers to artificial intelligence algorithms that can generate new, original content or data that is similar but not identical to the training data it has been fed. This could include anything from text, images, and videos to simulations and even new music compositions. Unlike traditional AI, which analyzes input to produce a predefined output, generative AI takes it a step further by producing something entirely new, offering a wide array of innovations and applications.
Generative AI is impacting every industry today—from renewable energy forecasting and drug discovery to fraud prevention and wildfire detection. Putting generative AI into practice will help increase productivity, automate tasks, and unlock new opportunities. See our recommended solutions for GenAI workloads below.
An NVIDIA Grace Hopperâ„¢ Server in a 2U 4-Node 16-Bay Gen5 NVMe SKU. Designed and optimized for Generative AI workloads.
The NVIDIA Grace Hopper™ architecture is designed for a new type of emerging data center—AI factories that process and refine mountains of data to produce intelligence.
Higher Performance and Faster Memory—Massive Bandwidth for Compute Efficiency
The NVIDIA GH200 Grace Hopperâ„¢ Superchip is a breakthrough accelerated CPU designed from the ground up for giant-scale AI and high-performance computing (HPC) applications.Â
The superchip delivers up to 10X higher performance for applications running terabytes of data, enabling scientists and researchers to reach unprecedented solutions for the world’s most complex problems.
An AMD EPYCâ„¢ 9004 HPC/AI Server in a 2U chassis supporting up to 8 Gen4 dual-slot GPUs.
Designed and optimized for high-performance and AI workloads, the server supports up to 8 GPU cards, including NVIDIA H100, offering exceptional performance for AI training and inference tasks.
By embracing generative AI, both startups and large organizations can immediately extract knowledge from their proprietary datasets, tap into additional creativity to create new content, understand underlying data patterns, augment training data, and simulate complex scenarios.
Applications powered by large language models can help enterprises automate these and many other tasks, helping them to streamline their operations, decrease expenses, and increase productivity. Download the ebook to learn more.
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade AI applications, including generative AI. Enterprises that run their businesses on AI rely on the security, support, and stability provided by NVIDIA AI Enterprise to ensure a smooth transition from pilot to production.