# Nvidia GH200 Nvidia GH200 Nvidia unveils a more powerful AI chip coming next year. they just do everything right when it comes to AI graphics card. They have the software. They have the Robots. They have the specialization. They have the team. When they do release this GH200 super chip it's going to be incredible. It has 3 times the memory of H100-GPU. GH200 is going to change how models are trained. It can train entire models on one chip when previously that wasn't possible. so if we get to a stage where you can essentially train entire models on one chip in just a couple of days, Think about how quick we're going to be getting updates to AI models. Think about how quickly someone's going to be able to train their own model and think about how future models, the models like chat GPT6, GPT8, GPT10, Google's Gemini - how much easier it's going to be for them in order to train those models because the compute time is going to be that much quicker. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://metaverse-imagen.gitbook.io/ai-tools-research/ai-tools-main-categories/ai-hardware-gpus-and-tpus-and-cloud-services/nvidia-gpu-hardware/nvidia-gh200.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.