The release of DeepSeek's R1 model by a Chinese AI startup has generated significant excitement in the AI community due to its innovative approach to "inference-time computing," which emphasizes multi-step reasoning and iterative refinement during the inference process. This shift not only reduces training costs, as demonstrated by the R1 model's comparatively low $5.6 million training cost, but also highlights the increasing importance of efficient model inferencing over traditional training approaches. Open-source models like DeepSeek are democratizing access to advanced AI, enabling broader deployment and innovation across various organizations. This trend underscores the need for optimized compute solutions like Clarifai's Compute Orchestration, which offers tools for efficient AI model deployment and management across diverse environments. As companies increasingly adopt AI, the demand for scalable and efficient inference solutions will grow, and platforms like Clarifai are poised to support this transition by offering the necessary infrastructure for both open-source and proprietary models.