Discover Astrabox, the open‑source AI arcade that builds playable games from voice or text. See how it runs locally, adapts to new LLMs, and reshapes indie game creation.
High‑cost GPUs and memory are forcing developers to build multi‑GPU rigs for local AI. This article reveals how to navigate rising compute prices, hardware specs, and ROI.
Find 32GB‑VRAM GPUs under $1,600 on eBay, learn about the NVIDIA V100’s hidden features, and get expert tips on installing legacy cards for ML workloads.
Local vs. frontier AI inference: Compare electricity, speed, and hardware costs for LLMs—discover why “flash” API models win on time and why local hardware is niche for data‑sensitive users.
Framework opens preorders for its AMD Ryzen AI Max 400 Series desktop, offering 192GB RAM for high‑end workstations—ideal for professionals exploring AI workloads.
New RAM‑offloading in vLLM lets local workstations run heavy LLMs like DeepSeek‑V4‑Flash‑Vision‑Exp on AMD GPUs, cutting VRAM limits while sparking a trend toward highly‑optimized one‑off inference engines.
AMD unveils 256‑core EPYC CPUs and Radeon iGPU AI boosts—discover how memory bandwidth, TDP, and Linux drivers shape next‑gen high‑performance computing and local AI.
Unlock the power of Qwen 27B & Flash‑Next models: discover the best quantization, SSD‑streaming tricks, and Apple Silicon tips for lightning‑fast, memory‑efficient AI inference.
InternLM unveils Intern‑Decision‑4B and 0.8B multimodal models that instantly generate structured JSON answers from questions and images, boosting speed and precision.