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AWS Announces New P5 Instances Powered by NVIDIA H100 Tensor Core GPUs

If you are looking for a powerful, scalable, and cost-effective GPU-based instance for generative AI or HPC applications, then P5 instances are a great option. Keep reading!


AWS Summit, 2023. Amazon Web Services  has announced the general availability of new P5 instances powered by NVIDIA H100 Tensor Core GPUs. These instances are designed to accelerate generative AI and high-performance computing (HPC) applications.

P5 instances are powered by the latest NVIDIA H100 Tensor Core GPUs, which offer up to 800 teraflops of single-precision floating-point performance and 320 teraflops of double-precision floating-point performance. This makes P5 instances the most powerful GPU-based instances available on AWS.

P5 instances are ideal for a wide range of generative AI and HPC applications, including:

  • Generative AI: P5 instances can be used to train and deploy large language models (LLMs) and diffusion models. These models are used for a variety of tasks, such as generating realistic text, images, and videos.
  • High-performance computing: P5 instances can be used to run a variety of HPC applications, such as climate modeling, drug discovery, and financial simulations.

P5 instances are available in a variety of configurations, with up to 8 NVIDIA H100 Tensor Core GPUs per instance. This makes P5 instances the most flexible GPU-based instances available on AWS.

P5 instances are available now in all AWS regions. To learn more, please visit the AWS website.

Here are some additional benefits of using P5 instances:

  • Faster training and deployment of generative AI models: P5 instances can significantly reduce the time it takes to train and deploy generative AI models. This is because P5 instances offer up to 800 teraflops of single-precision floating-point performance, which is much faster than previous-generation GPU-based instances.
  • Improved performance of HPC applications: P5 instances can improve the performance of a wide range of HPC applications. This is because P5 instances offer up to 320 teraflops of double-precision floating-point performance, which is much faster than previous-generation GPU-based instances.
  • Scalability: P5 instances are highly scalable, which means that you can easily add more instances as your needs grow. This makes P5 instances ideal for large-scale generative AI and HPC projects.
  • Cost-effectiveness: P5 instances are very cost-effective, especially for large-scale projects. This is because P5 instances offer a lot of performance for a relatively low price.

If you are looking for a powerful and scalable GPU-based instance for generative AI or HPC applications, then P5 instances are a great option.

 

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