#amd

Intel B‑Series price surge: B60, B65, B70 jump ~30% on Amazon. Find out current costs, where to buy cheaper, and how the rise affects AI workloads.

Unlock faster LLM inference on AMD GPUs with llama.cpp’s latest optimization PR—real performance gains, community insights, and a look at the future of open‑source LLM engines.

Hybrid 2‑bit/8‑bit decoding lets you run large LLMs on consumer GPUs, cutting VRAM needs and matching near‑full‑precision quality.

ByteDance, Alibaba, and Tencent order $35B of Nvidia GPUs, driving AI demand and limiting secondary market supply—impacting consumer choices, LLM hacks, and fintech GPU needs.

Compare Qwen3.8‑Flash‑Next vs Opus 5.5: benchmark insights, cost, speed, and edge‑case performance for Rust coding tasks.

Discover how Qwen 3.8 Flash Next outperforms Claude Opus 5.5 in speed, cost, and coding efficiency—plus fractal prompting hacks for instant performance boosts.

New open‑weight AI models hit the market: 816B Muse Spark Open, 74B Nemotron 3.5 Bolt, and 501B Beam, each with varying licenses and VRAM limits.

Track top GitHub repos that grew fastest this week, from REA’s 941% star surge to Project Maya’s local 321‑billion‑parameter engine and privacy‑first finance tools. Get the scoop on emerging AI utilities before they hit mainstream.

USA Arms deploys a 3‑unit, 384 GB VRAM GPU cluster for local LLM inference, achieving high JSON extraction throughput and FP8 accuracy, outperforming Mac Studio costs.

LiquidAI’s LFM2.5‑24B‑A2B delivers ~95 tps on AMD hardware, doubling Qwen 3.6 speeds while handling tool calls in agentic workflows—fast but still maturing in accuracy.