AI Usage + Cost + Loss Growth = Unprecedented • AI Monetization Threats = Rising Competition + Open-Source Momentum + China’s Rise • AI & Physical World Ramps = Fast + Data-Driven • Global Internet User Page 975 …Charts Paint Thousands of Words… AI Monetization Threats = Rising Competition + Open-Source Momentum + China’s Rise 5 Leading USA LLMs vs. China LLM Desktop User Share Note: Data is non-deduped Electric Power Computer Memory AI Inference AI Monetization Threats = Rising Competition + Open-Source Momentum + China’s Rise 5.1 China vs. USA vs. Rest of World Industrial Robots Installed Note:

activated parameters, DeepSeek-V2 and its chat versions still achieve top-tier performance among open-source models. The model checkpoints are available at h t t p s : / / g i t h u b . c o m / d e e p s (Tokens/Sec) (b) Figure 1 | (a) MMLU accuracy vs. activated parameters, among different open-source models. (b) Training costs and inference efficiency of DeepSeek 67B (Dense) and DeepSeek-V2. Contents adoption and utilization of LLMs. In order to tackle this problem, we introduce DeepSeek-V2, a strong open-source Mixture-of-Experts (MoE) language model, characterized by economical training and efficient inference

VNNI, ARM Dot, Nvidia DP4A • Full pipeline is available. Please try it and give suggestions. • Open-source discussions formed the foundations of both the approaches.