Get Started on Intel Gaudi AI Accelerators Using Your Existing GPU Code | Intel Software

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Intel® Gaudi® AI accelerators deliver leading price-performance for AI inference, fine-tuning, and training. They support PyTorch models, and the Intel Gaudi software stack offers a few ways to get started.

The GPU Migration Toolkit requires little-to-no modification of your existing PyTorch code – an environment variable instructs the Intel Gaudi software to map existing GPU-based API calls to Intel Gaudi-specific calls. This video shows how to use the GPU Migration Toolkit to inference with a Stable Diffusion model, and you can follow along with the example link below.

Stable Diffusion GPU Migration Examplehttps://huggingface.co/blog/autoroundnd

GPU Migration Toolkithttps://docs.habana.ai/en/latest/PyTorch/PyTorch_Model_Porting/GPU_Migration_Toolkit/GPU_Migration_Toolkit.html..

Get started with Optimum for Intel® Gaudi® AI Accelerator:    • Run Inference with a Model from Hugging Fa...  
Intel AI software resourchttps://developer.intel.com/aim/ai

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Get Started on Intel Gaudi AI Accelerators Using Your Existing GPU Code | Intel Software




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