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China's CAC questioned Nvidia over security risks in its H20 chip, citing 'tracking' and 'remote shutdown' concerns. The move follows reports of vulnerabilities and coincides with US calls for chip tracking features.....

Apple's MLX framework now supports CUDA, marking a strategic shift to embrace NVIDIA's ecosystem. This enables developers to train models on NVIDIA GPUs and deploy on Apple devices, enhancing efficiency and bridging platform gaps.....

Tesla has released its new Dojo 2 chip, with performance 10 times that of the first generation, and computing power close to NVIDIA B200. The chip is manufactured by TSMC and uses advanced packaging technology, solving power consumption issues. Dojo 2 will assist Tesla's FSD autonomous driving system training, processing 16 billion video frames per day, achieving technological self-sufficiency. Musk revealed that next year a more powerful Dojo 3 will be launched, and he joked that Dojo 2 can run 'Crysis' at one billion frames per second. This breakthrough will reduce Tesla's reliance on NVIDIA and may be offered externally.

NVIDIA's Canary-Qwen-2.5B sets a 5.63% WER record on Hugging Face OpenASR. This CC-BY licensed model combines FastConformer encoder with Qwen3-1.7B LLM decoder for efficient speech-to-text and NLP. Supports multi-GPU deployment for cloud/edge applications.....

Apple's MLX framework adds CUDA support, enabling seamless AI app migration from Mac to NVIDIA platforms. This breakthrough resolves Metal framework limitations, achieved by @zcbenz through months of integration. Feature ensures code compatibility, lowering development barriers by allowing Apple Silicon prototyping with optional NVIDIA deployment.....

Meta and Berkeley developed StreamDiT for real-time AI video generation: 1) 16fps 512p on single GPU, 4B-param model creates 1-min videos with live edits; 2) Novel buffer enables parallel processing (2 frames/0.5s) with 8-step optimization; 3) Trained on 3K HD videos + 2.6M dataset; 4) Outperforms rivals in motion smoothness, 30B-param version shows quality potential; 5) Enables interactive video despite transition flaws.....

Google released HAI-DEF toolkit with MedGemma (medical text/records) and MedSigLIP (image analysis) models. Supports local GPU deployment, privacy protection, and customization via Hugging Face/Vertex AI.....

Nvidia acquired AI startup CentML for $400M. Founded by Chinese-Canadian Wang Shang, CentML specializes in AI performance optimization. Wang will join Nvidia with his 15-member team to manage AI system software.....

Recently, NVIDIA and CoreWeave announced that NVIDIA's latest artificial intelligence graphics processor, Blackwell Ultra, has been commercially deployed on CoreWeave. This news undoubtedly injects new vitality into AI cloud computing services. Dell also stated that CoreWeave has received customized devices based on the NVIDIA GB300NVL72AI system, marking CoreWeave as the first to install a Blackwe

OpenAI recently announced that, despite initial testing, it will not adopt Google's TPU chips on a large scale. TPU (Tensor Processing Unit) is a custom ASIC chip developed by Google for machine learning tasks, designed to accelerate the training and inference of neural networks. TPU uses a dataflow-driven architecture, enabling efficient matrix multiplication pipeline computing and reducing memory access latency. Image source note: The image is AI-generated, provided by the licensing service Midjourney. OpenAI stated that it will continue

Tencent officially launched and open-sourced a new member of the Hypermix large model family - the Hypermix-A13B model. The model adopts an expert mixture (MoE) architecture, with a total parameter scale of 80 billion and an activated parameter count of 13 billion. It maintains the performance of top-tier open-source models while significantly reducing inference latency and computational costs, providing a more cost-effective AI solution for individual developers and small and medium-sized enterprises.

French AI startup Mistral AI announced on Wednesday its full entry into the AI infrastructure sector, positioning itself as a strong response to American cloud giants from Europe. At the same time, the company also launched a new inference model that can rival the most advanced systems of OpenAI. This Paris-based company released Mistral Compute, an integrated AI infrastructure platform developed in collaboration with NVIDIA (Nvidia), designed to provide European enterprises and governments with alternative solutions to摆脱对

At the recent VivaTech科技Summit held in Paris, NVIDIA CEO Jensen Huang stated that European artificial intelligence (AI) computing power is expected to increase tenfold within the next two years. This prediction has drawn significant attention from the industry, especially given the increasing worldwide focus on AI technology. Huang pointed out that Europe is actively building more than 20 "AI superfactories", which will provide strong infrastructure support for AI development. He emphasized that countries in Europe have already realized