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

Опубликовано 18 июня 2025, 7:00

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 Example: huggingface.co/blog/autoround

GPU Migration Toolkit: docs.habana.ai/en/latest/PyTor...

Get started with Optimum for Intel® Gaudi® AI Accelerator: youtube.com/watch?v=ibpsVjwxyC...
Intel AI software resources: developer.intel.com/ai

About Intel Software:
Intel® Developer Zone is committed to empowering and assisting software developers in creating applications for Intel hardware and software products. The Intel Software YouTube channel is an excellent resource for those seeking to enhance their knowledge. Our channel provides the latest news, helpful tips, and engaging product demos from Intel and our numerous industry partners. Our videos cover various topics; you can explore them further by following the links.

Connect with Intel Software:
INTEL SOFTWARE WEBSITE: intel.ly/2KeP1hD
INTEL SOFTWARE on FACEBOOK: bit.ly/2z8MPFF
INTEL SOFTWARE on TWITTER: bit.ly/2zahGSn
INTEL SOFTWARE GITHUB: bit.ly/2zaih6z
INTEL DEVELOPER ZONE LINKEDIN: bit.ly/2z979qs
INTEL DEVELOPER ZONE INSTAGRAM: bit.ly/2z9Xsby
INTEL GAME DEV TWITCH: bit.ly/2BkNshu

#intelsoftware

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