mi300x

How-to guides and AMD/ROCm optimization recipes for open AI-for-science models.

Inference scaling benchmark of Qwen3.5-2B on AMD Instinct MI300X using ROCm and Hugging Face Transformers.

Agentic AI store operations on AMD Instinct MI300X - Gemma tool-calling agents with enforced calculator grounding, human-in-the-loop approval, and a chat-first ops console. AMD ACT II Hackathon, Track 3.

🚀 Automated installation script for vLLM on HPC systems with ROCm support, optimized for AMD MI300X GPUs.

One sentence in, trained computer vision model out, zero human labels. An autonomous agent swarm (FLUX.2 - SAM 3 - Gemma 4) running entirely on one AMD Instinct MI300X (AMD Compute used). AMD Developer Hackathon ACT II.

Agentic CUDA-to-ROCm migration loop - translates, compiles, profiles, and iteratively fixes GPU kernels with real hardware feedback.

LLM inference benchmarking dashboard: Python FastAPI backend with async orchestration, WebSocket live TTFT/TBT/throughput comparison across configs (512/128 to 4096/1024 tokens), Grafana + Docker Compose stack, GitHub Actions CI; 21/21 pytest passing.

On-prem AI coding agent + LLM cost-router for regulated enterprises — 100% AMD, open-weight, air-gapped, Ed25519 tamper-evident audit. AMD ACT I 1st-place winner.

Automated CUDA-to-ROCm GPU kernel translation via semantic BridgeIR. 316 HIP API mappings, wavefront-aware optimization, MFMA targeting, 6 multi-target backends. Break free from CUDA vendor lock-in.

An AI-powered command center that correlates AWS FinOps data with SecOps vulnerabilities using Fireworks AI and AMD Instinct MI300X.

Progressive CDNA kernel curriculum on MI300X — wavefronts, LDS bank conflicts, MFMA register mechanics (VGPR/SGPR/AGPR), tiled GEMM, XCD awareness, generated assembly

White paper & reproducible benchmark suite for LLM inference optimization on AMD MI300X using ROCm 6.1

HIPIFY-first AI agent for CUDA2ROCm migration, compiled and test-verified on AMD MI300X with Gemma 4.

Standalone AMD ROCm/PyTorch tools for pruning, expanding, and continued-pretraining an LLM checkpoint on a single MI300X GPU

Zero-config LLM benchmarking on AMD GPUs with ROCm. Auto-detect MI300X/MI250/Radeon, CUDA and CPU fallback.

Docker images for AMD ROCm development — PyTorch, TensorFlow, vLLM, Triton on MI300X

Custom HIP/ROCm kernel examples — matrix ops, attention, flash-attention optimized for AMD CDNA architecture

Self-contained fine-tuning recipes for AMD MI300X — LoRA, QLoRA, SFT, DPO, GRPO on ROCm 6.x

Adversarial LLM evaluation, powered by Gemma on AMD — AMD Developer Hackathon ACT II, Track 3

AMD ROCm ML Benchmark Suite - Multi-framework inference & training benchmarks with HIP memory management, multi-GPU support, and comprehensive reporting for MI250X/MI300X