GPU coverage for AI workloads: VRAM requirements, price-per-token maths, and honest verdicts on which cards are worth buying for training and local inference.
South Korean daily Chosun Ilbo reports that the United States is using GPU exports as a diplomatic bargaining chip. Here is what chip-access leverage actually changes for teams that train, host or buy AI models.
Nvidia’s next-generation DLSS 5 upscaling technology arrives September 3rd, but the controversial release comes with demanding GPU requirements that may leave many gamers behind.
At QuakeCon, Nvidia reportedly floated an idea PCMag Middle East calls ‘crazy’: selling its graphics cards for their launch prices. Here is why that framing says so much about the GPU market, and what it would mean for gamers and local AI builders.
Instant Gaming News reports that Nvidia is raising graphics card prices by up to 30%. Here is what the report says — and what it could mean for gamers and local-AI builders.
Yahoo Finance reports that Supermicro has launched its H15 server line with a 72-GPU AI training platform. Here is what the rack-scale launch means for AI developers and infrastructure buyers.
Intel’s Arc Pro B70 has reportedly outrun NVIDIA’s RTX 5090D on a DeepSeek R1 inference workload while costing roughly a quarter as much, according to Wccftech.
NVIDIA has shared updates on Anthropic’s Claude models running on its Blackwell Ultra GPUs, with Microsoft Foundry availability signalling a wider cloud rollout for enterprise AI workloads.
Direct answers to the AI-hardware questions people actually ask: RTX 5080 vs 5090, CUDA vs ROCm, running LLMs locally, VRAM needs, Chinese models, best AI laptops and image generators.
The best GPUs for AI in 2026 compared: RTX 5090, 5080, 5070 Ti, RTX 4090, H100, H200, Mac Studio and AMD — specs, prices, VRAM and price-to-performance.
A no-hype buyer’s guide to small-form-factor machines for local LLMs in 2026 — Apple’s Mac mini, NVIDIA’s DGX Spark, AMD Strix Halo boxes and Intel — with verified specs, prices and token-per-second numbers, plus picks by use case.
The rumored RTX 50 Super refresh could finally bump VRAM where it counts — 24GB on the 5080 Super, 18GB on the 5070 Super. For running local LLMs, that’s the spec that matters. Here’s the honest picture.
NVIDIA’s Vera Rubin is the biggest AI-hardware story of 2026: a six-chip platform that NVIDIA says cuts inference costs up to 10× versus Blackwell. Here’s what it is and why it matters even if you never own one.
