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.
Un guide d’achat sans fioritures consacré aux machines compactes destinées aux LLM locaux en 2026 — le Mac mini d’Apple, le DGX Spark de NVIDIA, les boîtiers AMD Strix Halo et Intel — avec des caractéristiques techniques vérifiées, des prix et des chiffres de tokens par seconde, ainsi que des recommandations par cas d’utilisation.
La nouvelle génération de cartes RTX 50 Super, dont on parle beaucoup, pourrait enfin offrir davantage de mémoire vidéo là où ça compte vraiment : 24 Go pour la 5080 Super et 18 Go pour la 5070 Super. Pour l'exécution de modèles de langage à grande échelle (LLM) en local, ce sont ces caractéristiques techniques qui font la différence. Voici un aperçu sans concession de la situation.
La Vera Rubin de NVIDIA est la grande nouveauté de 2026 en matière de matériel d’IA : une plateforme à six puces qui, selon NVIDIA, permet de réduire les coûts d’inférence jusqu’à 10 fois par rapport à Blackwell. Voici en quoi elle consiste et pourquoi elle est importante, même si vous n’en possédez pas.
