Open-source local AI server configs, GFX906 runtime maintenance, reproducible benchmarks, and QC methods for affordable AI research infrastructure.
Production LLM serving configurations — SGLang, vLLM and llama.cpp across A100, MI300X, MI350X, RTX A4000 and consumer GPUs, with three-tier observability on AMD
A curated list of awesome open source projects, tools, and resources for AMD GPUs via ROCm
Post-quantum secure enterprise AI gateway featuring client-side PQC encryption, dynamic hybrid workload routing, and isolated open-source LLM inference accelerated by AMD ROCm. Built for the AMD Developer Cloud Hackathon (Track 3).
Progressive CDNA kernel curriculum on MI300X — wavefronts, LDS bank conflicts, MFMA register mechanics (VGPR/SGPR/AGPR), tiled GEMM, XCD awareness, generated assembly
Sovereign Cross-Silicon Microcode & Power-Wavefront Operating Kernel for NVIDIA, AMD, ASICs, FPGAs & Backside Power Lithography
HIP and ck_tile experiments on MI300X/MI350X — tile distributions, coordinate systems, descriptors and transforms, measured HBM bandwidth on SR-IOV virtual functions
TrueView AI 🛡️ — An AI-powered sentinel that detects fake e-commerce reviews and analyzes sentiment using AMD Instinct™ compute. Built with the MERN Stack.
Debian-based Docker images for LLM inference on AMD GPUs using ROCm and vLLM.
A containerized, hybrid token-routing gateway engineered which dynamically optimizes AI workloads between low-cost edge nodes and high-performance AMD Instinct / Fireworks AI clusters using real-time token tracking and semantic analysis.
AI-powered rural health data collection system using AMD GPU Cloud — connecting villages in Indonesia via WhatsApp to healthcare experts. AMD Developer Program concept.
Faster inference for World Action Models (FastWAM, DiT4DiT) on AMD GPUs: GEAK optimized kernels, fewer denoising steps, and Compact Action Experts.
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