#amd

AMD’s Threadripper Halo Station offers 96‑core, 192‑thread power, 16TB/s memory bandwidth, and top‑tier LLM inference—bridging workstation performance with data‑center scale.

Sep 8 Afternoon Wire-Up: Xpeng’s robot production, AI in biology and more

Explore AI’s new frontier—humanoid robots, protein‑structure breakthroughs, and LLM‑powered games—all while navigating regulation and release ethics.

Explore how “Somatic AI” turns hardware into a living nervous system—enabling machines to feel stress, comfort, and self‑security, beyond simple LLMs.

Discover why AMD Strix Halo LLM inference falls short and how community forks like Halogen-Flash-Server are boosting token rates—without sacrificing model quality.

Explore how dual AMD Radeon R9700 GPUs give local LLM inference 64 GB VRAM at a €4,000 price‑point, beating NVIDIA for Qwen 3.8 performance.

OpenAI’s Astra (GPT‑6) can write fully‑functional games in minutes—see how a Reddit coder cloned Balatro with 2 prompts, 30‑minute testing and bug‑free JS/HTML output, raising both industry excitement and regulatory concerns.

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.

AI hardware prices surge as silicon scarcity hits local inference demand, driving users to cloud options and pushing up NVMe SSD costs.

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.