๐๐ ๐๐ ๐๐ ๐๐๐๐๐๐ ๐๐๐๐ ๐ ๐๐๐๐๐ ๐๐๐๐๐๐๐
Once AI usage reaches massive scale, the challenge shifts from โWhich model?โ to โHow do we run all this efficiently?โ
B.AI is already processing 1.11T+ tokens daily across workloads including:
โ AI Agents
โ Coding
โ Automated workflows
โ Long-context tasks
โ Bulk API requests
Behind that usage is infrastructure for routing, scheduling, concurrency, metering and settlement.
Thatโs what makes the B.AI story interesting.
Itโs 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 Sunๅญๅฎๆจ #TRONEcoStar
Once AI usage reaches massive scale, the challenge shifts from โWhich model?โ to โHow do we run all this efficiently?โ
B.AI is already processing 1.11T+ tokens daily across workloads including:
โ AI Agents
โ Coding
โ Automated workflows
โ Long-context tasks
โ Bulk API requests
Behind that usage is infrastructure for routing, scheduling, concurrency, metering and settlement.
Thatโs what makes the B.AI story interesting.
Itโs 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 Sunๅญๅฎๆจ #TRONEcoStar