#cplusplus #accelerator #llama #llm #low_level_programming #metal #mistral #mixtral #ml #resnet #stable_diffusion #tenstorrent
Tenstorrent's TT-Metal is a powerful tool for developing AI models. It allows users to create custom kernels for their hardware, which can improve performance by reducing memory usage. This is especially useful for large language models (LLMs) like Llama and Mixtral. The TT-Metal system supports efficient data movement and computation, making it beneficial for users who need to run complex AI tasks quickly and effectively. By optimizing how data is stored and processed, TT-Metal helps users achieve better results with less effort.
https://github.com/tenstorrent/tt-metal
Tenstorrent's TT-Metal is a powerful tool for developing AI models. It allows users to create custom kernels for their hardware, which can improve performance by reducing memory usage. This is especially useful for large language models (LLMs) like Llama and Mixtral. The TT-Metal system supports efficient data movement and computation, making it beneficial for users who need to run complex AI tasks quickly and effectively. By optimizing how data is stored and processed, TT-Metal helps users achieve better results with less effort.
https://github.com/tenstorrent/tt-metal
GitHub
GitHub - tenstorrent/tt-metal: :metal: TT-NN operator library, and TT-Metalium low level kernel programming model.
:metal: TT-NN operator library, and TT-Metalium low level kernel programming model. - tenstorrent/tt-metal