#hardware

Fix for GPT‑OSS message bug: new template preserves reasoning, improves multi‑turn chat, and boosts speed on 120B & 20B models.

Discover KoboldCpp 1.122’s new Agentic harness—lightweight, auto‑task code, file management, and video generation—all in one open‑source tool.

Explore how custom rigs, liquid cooling, and tensor‑parallel mining hardware drive local LLM inference, unlocking high‑speed, low‑cost AI on repurposed components.

Debate over local vs. cloud AI: why cloud dominates now, but edge hardware may soon run top models at home.

Boost llama.cpp prompt speeds: VNNI cuts CPU latency 3–7×, while new caching pushes token rates up to 42× faster—yet general‑purpose code still trails hardware‑specific forks.

Is High Bandwidth Memory the future or a costly myth? Dive into Hot Chips 2026’s debate on HBM’s stack limits and the rising buzz for High Bandwidth Flash.

Discover hidden‑gem GPUs: NVIDIA Tesla, AMD M150, and Intel options for high‑VRAM, cost‑effective computing, with market insights and performance tips.

Explore why Anthropic’s Opus 5.5 model now skips em‑dashes, the speculated token‑saving reason, and its impact on AI‑authored text.

Ling Tiny 3.0 proves an 8‑billion‑parameter LLM can run on a 2017 Intel i5 laptop, achieving 10 tokens/sec with llama.cpp—showing edge AI is feasible on legacy hardware.

Discover how the M5 Ultra Mac Studio handles high‑memory AI workloads—memory vs. GPU trade‑offs, benchmark insights, and future optimizations.