The recent AWS Summit in New York aimed to showcase the company's commitment to making AI accessible to a broader audience through its tools and platforms.
The recent AWS Summit in New York showcased AWS’s latest advancements in democratizing data and AI. The summit kicked off with a keynote by Dr. Matt Wood, vice president for AI products at AWS and. Wood’s keynote emphasized AWS’s commitment to making AI accessible to a broader audience through its tools and platforms. As Wood put it, thanks to these innovations, “Customers are able to apply generative AI to understand and leverage existing data in new and exciting ways.
— AWS has introduced new instances powered by AI-specific chips such as its own Trainium and Inferentia processors, as well as EC2 instances powered by Nvidia H100 GPUs. This allows AWS to offer cost-effective approaches for training and running AI models. Amazon SageMaker is also an essential tool for building and deploying foundation models.
Meanwhile, AWS is promoting AI development accessibility through AWS App Studio, which, as mentioned above, allows users to quickly build AI-powered applications. SageMaker Studio was also emphasized at the summit for its role in democratizing AI development. SageMaker Studio enables a wide range of users, from individual developers to large enterprises, to efficiently build and deploy machine learning models.
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