Evidence-backed AMD Strix Halo local-AI setup and benchmarks: Qwen3.8, Ollama, llama.cpp, Vulkan/ROCm, large GGUFs, and cross-OEM results.
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Updated
Oct 21, 2026 - Python
Evidence-backed AMD Strix Halo local-AI setup and benchmarks: Qwen3.8, Ollama, llama.cpp, Vulkan/ROCm, large GGUFs, and cross-OEM results.
Honest local LLM deployment planning and benchmarking for high unified-memory Macs and future Linux/NVIDIA rigs.
Windows port of GreenBoost - GPU VRAM extension with system RAM & NVMe for larger LLMs. Original by Ferran Duarri (GPL v2).
Operator-grade GPU monitor for NVIDIA GPUs with native GB10 / DGX Spark coherent UMA support — PSI pressure, clock detection, ConnectX-7 network layer
Local inference server for Apple Silicon — hot-swaps MLX models (LLM, vision, embeddings, TTS, STT) via OpenAI API
Apache Arrow compute on Apple silicon GPUs through Metal: Arrow columns in unified memory, copy-free where the producer's buffers are page aligned; null-aware GPU kernels; Arrow C Data, C Device and C Stream interop
A CUDA implementation of the transpose-free Quasi-Minimal Residual method
Unified Memory Abstraction Layer for AI Inference on AMD APUs and Intel iGPUs
Exact LLM inference engine written from scratch for AMD Strix Halo (gfx1151, ROCm/HIP). Qwen3.8-Flash-Next on one node or two replicas; DeepSeek V4.1 Flash across two nodes over USB4 with an optional RTX PRO. Speculative decoding bit-identical to greedy, up to 255 tok/s on coding chat. MiniMax and GLM next.
A turnkey, fully-local AI workstation engineered for the AMD Ryzen AI Max+ 395. LLM inference, voice, document parsing, browser automation, agents — all on-device.
gpu thrashingNVIDIA GPU Unified Memory diagnostic tool — architecture-aware, measurement-based, PCIe/coherent transport detection
Talos-O (Omni): A sovereign, embodied agentic organism forged on AMD Strix Halo. Integrating the Chimera Kernel (Linux 7.0), Zero-Copy Introspection, and the Phronesis Engine. Built from First Principles.
SUPERFAST: turn an AMD Ryzen AI Max+ 395 (Strix Halo, gfx1151) into a fast, private local-LLM machine. Four profiles at maximum context: Qwen3.8-27B dense, Qwen3.8-Flash-Next MoE, Gemma-4-26B, DeepSeek-V4-Flash. Fedora 44 setup script, verified downloads, one-command switch, agent-ready API.
Fundamentals of Accelerated Computing C/C++ is a course provided by NVIDIA.
Empirical kernel scheduling characterization for NVIDIA GB10 (SM121a). Sweeps GEMM tile configurations, classifies PTX instruction paths, captures hardware telemetry
Research into CUDA Unified Memory as a VRAM extension for LLM inference
NVML unified memory shim for NVIDIA DGX Spark Grace Blackwell GB10 - enables MAX Engine, PyTorch, and GPU monitoring
Run LLMs larger than your RAM — native GGUF inference engine with SSD streaming, no GPU required
System monitor that reports real GPU memory on unified-memory AMD parts (Strix Halo / Ryzen AI Max), where other tools show only the firmware carve-out. Split collector daemon + TUI, no dependencies.
The real-time coordination layer for teams of developers running Claude Code agents. Git coordinates code at rest; Datum coordinates agents in motion.
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