North Mini Code. Cohere's first model for developers.

Running large language models on a multi-tenant platform creates a "noisy neighbor" problem, where a traffic spike from one customer can cause latency issues for others sharing the same pool of GPUs. This happens because efficient batch processing can be dominated by a single organization that floods the request queue. A new solution is proposed to schedule inference requests fairly across tenants using specific architectural patterns and scheduling algorithms. This approach isolates tenants from one another, ensuring each receives a fair share of compute capacity based on scheduling rather than traffic volume, while still maintaining batching efficiency.