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Amazon Web Services Announces Trainium2 AI Chip and Access to Nvidia’s Next-Gen H200 GPUs

Amazon Web Services recently revealed its Trainium2 artificial intelligence chip and plans to provide access to Nvidia’s next-generation H200 Tensor Core GPUs to customers. During its Reinvent conference in Las Vegas, AWS also introduced its new general-purpose Graviton4 processors. AWS will also host a dedicated computing cluster for Nvidia to utilize, making it more appealing to other cloud providers.

AWS is working to distinguish itself as a cloud provider by offering various cost-effective options, including top-tier products. The company aims to compete with other major cloud providers by leveraging Nvidia’s high-demand GPUs and introducing its innovative AI chips. This distinct strategy puts AWS in a better position to go up against major competitors in the cloud computing space.

The Graviton4 processors are based on Arm architecture and promise better performance and energy efficiency compared to chips from other manufacturers. Amazon anticipates that the chips will deliver enhanced output for the cost, making them an attractive option for organizations looking to optimize their cloud computing resources during a time of heightened economic inflation.

The announcement comes at a time when demand for Nvidia GPUs has surged, driven by the popularity of AI technologies such as the OpenAI ChatGPT chatbot. AWS is expanding its collaboration with Nvidia and offering alternatives for AI computing to customers who may not have access to the latest Nvidia GPUs.

AWS has a long history of providing cloud computing services and has launched numerous cloud products over the years. Its consistent investment in innovative programs like Graviton and Trainium demonstrates Amazon’s commitment to meeting the demand for advanced cloud computing solutions.

While no release dates have been announced for virtual machine instances with Nvidia H200 chips or instances utilizing Trainium2 silicon, AWS customers can begin testing Graviton4 instances now as they prepare for their commercial availability in the near future.

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