Alibaba released Qwen3.8-27B, a 27.78-billion-parameter open-weights multimodal model under Apache 2.0, with a 262,144-token native context window and configurable reasoning. Vendor-reported benchmark…
Qwen released Qwen 3.8 27B, a dense model that runs at approximately 138 tokens/second on an RTX 5090 with the ninfer inference engine, and Z.AI released GLM-5.3, a coding-focused model that achieves …
A Swiss provider operating a single 64-GPU cluster in Zurich could generate about CHF 7.4 million in annual revenue and CHF 3 million in EBITDA by selling dedicated Kimi K3-class inference to banks, p…
Alibaba previewed Qwen3.8, a 2.4 trillion-parameter model, on July 19 at the World AI Conference in Shanghai, claiming it ranks second only to Anthropic's Claude Fable 5 among frontier systems, but th…
Clement Delangue, co-founder and CEO of Hugging Face, stated that China is currently winning the open-source AI race, citing the staggering volume of high-quality open-weight models from Chinese labs …
Alibaba's Qwen team released two open-weight models this week, with the 2.4-trillion-parameter Qwen3.8-Max grabbing headlines but the Apache-licensed, multimodal Qwen3.8-27B being the practical choice…
Alibaba's Qwen3.8-27B open-source model achieves 206.1 tokens per second decode on a single Nvidia RTX 5090 using SGLang's NVFP4 and DSpark, with Day-0 support in SGLang. The 27B-parameter multimodal …
Alibaba's Qwen team released Qwen 3.8, a dense 27-billion-parameter open-weight model under the Apache 2.0 license, designed to outperform the larger Qwen 3.7 Plus in coding and office tasks while nat…
Alibaba's Qwen team released open weights for the Qwen3.8-27B, a 27-billion-parameter multimodal model designed for local deployment on consumer hardware with around 24GB of VRAM, such as an NVIDIA RT…
Alibaba's Qwen team released Qwen3.8-27B, a dense, natively multimodal 27B model under Apache 2.0 with weights on Hugging Face, designed for single-GPU agentic work. The model features a 3:1 hybrid of…
Alibaba released Qwen3.8-27B, a dense multimodal model with open weights under Apache 2.0, which outperforms Meta's Muse Glimmer 30B on every benchmark where both were tested, including a 73.0 vs 51.7…
Citi Research analysts led by Yu Xiangrong said US-China AI trade decoupling is 'manageable' and unlikely to materially disrupt China's AI exports, with even a full decoupling putting at most 9.2 perc…
Apple has trained a China-specific large language model with support from Alibaba, Reuters reported Friday, citing three people familiar with the work. The report follows China's registration of Apple…
Alibaba's Qwen team released Qwen3.8-27B, a 28-billion-parameter image-text-to-text model, on Hugging Face, with an FP8 quantized version also available. The model is part of the Qwen3.8 collection, w…
Alibaba's Qwen team released Qwen3.8-27B on August 14 under the Apache 2.0 license, a 27-billion-parameter dense vision-language model with a 262,144-token native context window and downloadable weigh…
Apple is training its own large language model for the Chinese market with support from Alibaba, according to Reuters, marking a departure from its reliance on third-party models. The move comes as Ch…
Alibaba's Qwen project scheduled the release of Qwen3.8-27B, a dense 27-billion-parameter vision-language model, for August 14, 2026, according to a countdown post from the official Qwen account. The …
DeepSeek released a developer preview of Harness, a software framework for building autonomous AI agents, on Thursday, August 14, 2026. The framework offers four operational modes—standard, code-focus…
Apple has built its own proprietary AI model for China with support from Alibaba, becoming the first foreign company approved to offer such a model in the country, according to Reuters. The model, dev…
Apple has trained its own large language model for the China market with help from Alibaba, making it the first foreign company approved by the Chinese government to offer a proprietary AI model in th…