optimum-habana and optimum-graphcore
These are ecosystem siblings—both are specialized hardware acceleration libraries that extend Hugging Face Transformers to different proprietary AI accelerators (Habana Gaudi HPUs vs. Graphcore IPUs), following the same `optimum-*` pattern for their respective platforms.
About optimum-habana
huggingface/optimum-habana
Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
This project helps machine learning engineers accelerate the training and inference of large language models and diffusion models, such as those from the Hugging Face Transformers and Diffusers libraries. It takes existing model code and configuration and outputs significantly faster computations by leveraging Intel Gaudi AI Accelerators. This is for machine learning practitioners and researchers working with large-scale models who need to optimize performance on specific hardware.
About optimum-graphcore
huggingface/optimum-graphcore
Blazing fast training of 🤗 Transformers on Graphcore IPUs
This project helps machine learning engineers or researchers accelerate the training and fine-tuning of large language models and other AI models. It provides tools to efficiently run popular Hugging Face Transformers models on Graphcore Intelligence Processing Units (IPUs), which are specialized AI processors. You input your existing Transformer models and datasets, and it outputs faster-trained or fine-tuned models ready for deployment.
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