Intel's 32GB Arc Pro B70 finally got a proper Qwen3.8-27B Local AI workout. So this is why the 32GB VRAM is important, even from an Intel GPU. Here is Gigazine's setup. Windows 11 using Unsloth Desktop + llama.cpp ... 🧠 Qwen3.8-27B Q4_K_XL 💾 30.0GB VRAM + ~1GB shared RAM 🚀 23.4 tps Then they tried Q8: 🧠 Qwen3.8-27B Q8_K_XL 💾 30.2GB VRAM + ~1.5GB shared RAM ⚡ 15.9 tps That's a full 27B-class model running at very usable speeds on an Intel GPU. And also tested text-to-image models. 🎨 Z-Image-Turbo 1024×1024 / 8 steps ➡️ ~5.3 sec/image after warmup 🎥 MiniMax H3 video also ran …but these are much slower, demonstrating where Nvidia's more mature AI software stack still matters. The hardware setup... 🎮 Arc Pro B70 💾 32GB GDDR6 ⚡ 608 GB/s bandwidth 🔌 230W And here's the interesting value angle. In Japan, the tested ASRock B70 was selling for: 💰 ¥298,054 while many RTX 5090s were selling above: 💰 ¥900,000 ⚠️ That's Japan-specific street pricing, NOT a universal B70-vs-5090 price comparison. But THIS is why the B70 interests me for Local AI. It won't beat a 5090 but it's giving you 32GB of VRAM at a much lower entry point. 23.4 tok/s on Qwen3.8-27B Q4 good enough for you? 🔗 GIGAZINE review in ALT

Intel’s product cycle and 14A interest are real $INTC 14A datapoints have been better than expected. Every large US customer they list, Amazon, Apple, AMD, Google, Tesla, Microsoft, Nvidia, Qualcomm, is evaluating the node. TSMC is sold out through 2028, so customers want a second source plus US onshore capacity. Datacenter Agentic-AI server demand is real and supply-constrained into 2029–30. That is why DCG can still grow high-teens

INTEL: Seven Senate Democrats who voted against advancing the CLARITY Act say they remain committed to passing the bill on a bipartisan basis “This week was a setback, but not the end of that important work”