Enterprise Practitioners Seek Western Open-Weight LLMs Amid Bans on Chinese Models
An AI practitioner highlighted the enterprise challenge of deploying open-weight models under strict governance policies that ban Chinese AI models like Qwen, GLM, and DeepSeek. The community inquiry seeks recommendations for Western-developed open models near the 120B+ parameter scale with vision capabilities suitable for multi-GPU production setups. This discussion underscores how compliance and geopolitical constraints dictate corporate AI infrastructure choices, driving demand for competitive Western open-source models. It also highlights a perceived performance and capability gap between leading Chinese open models and Western alternatives in the large-scale multimodal category. The target deployment scenario involves high-end infrastructure, such as 4x NVIDIA H100 GPUs, requiring models around 120B parameters with vision support and long context windows. Prominent Western options under consideration include Thinking Machines Inkling Small, Cohere Command A+, Poolside Laguna S 2.1, and NVIDIA Nemotron 3 Super.
## BACKGROUND
Open-weight language models allow organizations to host AI locally on their own hardware, ensuring data privacy and operational control. While Chinese organizations like Alibaba with Qwen and Zhipu AI with GLM offer leading open-weight models, enterprise compliance restrictions often bar their use over regulatory and security concerns.