𝐀𝐈 𝐈𝐒 𝐍𝐎 𝐋𝐎𝐍𝐆𝐄𝐑 𝐉𝐔𝐒𝐓 𝐀 𝐌𝐎𝐃𝐄𝐋 𝐏𝐑𝐎𝐁𝐋𝐄𝐌
Once AI usage reaches massive scale, the challenge shifts from “Which model?” to “How do we run all this efficiently?”
B.AI is already processing 1.11T+ tokens daily across workloads including:
→ AI Agents
→ Coding
→ Automated workflows
→ Long-context tasks
→ Bulk API requests
Behind that usage is infrastructure for routing, scheduling, concurrency, metering and settlement.
That’s what makes the B.AI story interesting.
It’s not simply trying to be another gateway to AI models.
The bigger ambition is to sit above the models and beneath the Agents, handling the infrastructure needed as AI becomes more autonomous and usage keeps scaling.
OpenRouter helped prove the demand for AI routing.
B.AI is now showing how quickly that infrastructure layer can evolve.
@BAI_AGI @Justin Sun孙宇晨 #TRONEcoStar
Once AI usage reaches massive scale, the challenge shifts from “Which model?” to “How do we run all this efficiently?”
B.AI is already processing 1.11T+ tokens daily across workloads including:
→ AI Agents
→ Coding
→ Automated workflows
→ Long-context tasks
→ Bulk API requests
Behind that usage is infrastructure for routing, scheduling, concurrency, metering and settlement.
That’s what makes the B.AI story interesting.
It’s not simply trying to be another gateway to AI models.
The bigger ambition is to sit above the models and beneath the Agents, handling the infrastructure needed as AI becomes more autonomous and usage keeps scaling.
OpenRouter helped prove the demand for AI routing.
B.AI is now showing how quickly that infrastructure layer can evolve.
@BAI_AGI @Justin Sun孙宇晨 #TRONEcoStar