'Everyone and Their Dog is Buying GPUs,' Musk Says as AI Startup Details Emerge

This page summarizes the projects mentioned and recommended in the original post on /r/hardware

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  • onnx

    Open standard for machine learning interoperability

  • ONNX (https://onnx.ai/ https://github.com/onnx/onnx) is an alternative to the basic CUDA model, using Direct-ML ( https://learn.microsoft.com/en-us/windows/ai/directml/dml-intro https://github.com/microsoft/DirectML), which is a microsoft-backed open approach. That is what has allowed AMD cards, even slightly older ones, to join in on the machine learning fun.

  • text2image-gui

    Somewhat modular text2image GUI, initially just for Stable Diffusion

  • You can find NMKD here, and the readme should be quite simple to get it to work on your own machine for a basic SD setup: https://github.com/n00mkrad/text2image-gui

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • civitai

    A repository of models, textual inversions, and more

  • That should include the base stable diffusion 1.5 model, but you can install custom ones if you want from sites like https://civitai.com/

  • DirectML

    DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.

  • ONNX (https://onnx.ai/ https://github.com/onnx/onnx) is an alternative to the basic CUDA model, using Direct-ML ( https://learn.microsoft.com/en-us/windows/ai/directml/dml-intro https://github.com/microsoft/DirectML), which is a microsoft-backed open approach. That is what has allowed AMD cards, even slightly older ones, to join in on the machine learning fun.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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