{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d8fbb4faef87493c9806610fff6ff86c\" frameborder=\"0\" width=\"1672\" height=\"1254\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1254,"width":1672,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1254,"thumbnail_width":1672,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d8fbb4faef87493c9806610fff6ff86c-98d6296ae056d0d7.gif","duration":501.933,"title":"Optimizing Models with Exla SDK 🚀","description":"In this video, I demonstrate how to use the XSLA SDK to optimize models for deployment based on hardware specifications. We cover two main use cases: running an optimized instance of DeepSeq and optimizing a custom-trained model. I walk you through the installation process and the commands needed to get started. Please reach out if you have any questions or if this seems helpful for you!"}