ExAce (Expansion Card Accelerator) is a community-designed FPGA acceleration card in a Framework expansion card form factor. Created by cdg66, it uses a CologneChip Gatemate A1 FPGA with an open-source toolchain and USB 3.0 SuperSpeed SERDES, targeting ML inference, signal processing, and hardware acceleration workloads.
framework-rocm is a set of reproducible ROCm containers for the Framework Desktop (AMD Ryzen AI MAX / Strix Halo / Radeon 8060S, gfx1151). Developed by community member geoff-davis, it provides pinned PyTorch and JAX Docker images with GPU smoke tests and measured attention/training performance findings.
The Google Coral Expansion Card is a community-designed expansion card that integrates a Google Coral Edge TPU accelerator module into the Framework Laptop's expansion card form factor. Created by Evgeni Genchev in May 2022, the project enables on-device machine learning inference (TensorFlow Lite) through a dedicated TPU chip housed in a standard expansion card slot.
Strix Halo Guide is a comprehensive, practical guide to running large language models locally on AMD Strix Halo / Ryzen AI MAX+ 395 systems with Radeon 8060S (gfx1151) and 96GB/128GB unified memory. Maintained by community member hogeheer499-commits, it covers BIOS configuration, Ubuntu 24.04/kernel setup, Ollama, llama.cpp Vulkan/RADV, ROCm/HIP experiments, vLLM, benchmarks, raw logs, and reproducibility checks.
strix-llm is a known-good local LLM inference configuration tool for the Framework Desktop (Ryzen AI MAX+ 395 / Strix Halo). Maintained by community member Alberto Migliorato (GitHub: AlbeMiglio), it provides a tested, reproducible setup for running large language models locally on Framework Desktop hardware using ROCm and llama.cpp.