Capital Goods

Local LLMs can process 11M tokens of a 267 KB 3D game design doc in 12 h on a CPU, showing insane local generation power for 3D graphics and gameplay.

Discover the newest GPU value metrics—memory bandwidth, GB per dollar, and realistic cost‑performance—helping you choose the best card for LLMs and future tech.

Discover why Qwen 3.8 27B outperforms rivals—top ASR, unlock rates, and 3D‑modeling feats—all on modest VRAM with KV‑cache quantization.

Explore VRAM thermal risks on modified RTX 4090s and learn how Blackwell GPUs perform in dual‑GPU AI setups, plus tips for mixing GPUs with host RAM.

Explore Qwen 3.8’s new local‑execution speed, mobile edge runs, and agentic web‑navigation tests—showing how the model powers game dev, coding, and autonomous reasoning.

Ling-3.0-flash‑VL merges fast LLM power with vision‑language AI, offering rapid visual perception, STEM reasoning and multimodal agent tasks—yet unverified.

Performance benchmarks reveal the best 16GB VRAM Qwen3.8‑27B variant: bartowski/Qwen3.8‑27B‑IQ4_XS, with 0.056 KLD and 95.8% top‑p. Explore quantization trade‑offs and agentic reliability.

Boost Qwen3.8‑Flash‑Next decoding on RTX 3090s: 25‑29 t/s with llama.cpp LRU cache, 80‑85% hit rate—fast, VRAM‑efficient LLM performance.

Develop a Minecraft mod with a local GLM 5.3 Flash LLM: discover how the “black hole rifle” was built, its 96 TPS performance, and community debate over AI coding.

Explore Qwen3.8’s new MXFP4, modular quantization and multi‑GPU benchmarks—see how developers hit 280 tok/s and 4,894 prefills on AMD R9700 and more.