Here is a strategic foresight application with MiMo v2.5 Pro (OpenCode Desktop).
Question: does self-hosting AI workflows with expensive GPUs and open-weight models pay off?
Key insight to share: The evidence most strongly supports the case that the possible cost advantage is temporary, not structural.
Context via /premortem:
1. API prices can be volatile
2. OpenAI and Anthropic IPOs are likely. Post-IPO the prices will change
3. There is no guarantee of a prolonged Chinese contribution to open-weight models. Once DeepSeek reaches a full Chinese AI vertical, they don't need to remain 40x cheaper. They can increase the price as well.
4. Currently the main reason Anthropic and OpenAI get that much traction is that they reside in a compliant economic zone (USA)
Qwen 3.7 Max from Alibana is proprietary. There are open-weight Qwen models, but the flagship / frontier models don't have an obligation to be open-weight.
Given the marketing and AI adoption experiences (real-world AI in business struggles), the investment into a self-hosted HW setup may not be viable in most cases.
Even if the API costs remain at the current level.
https://github.com/norandom/Skills
#ai #strategy #selfhosted #capex