Thalamus - Our Highly Available Distributed Router for Global Realtime AI Workloads

Cerebrium faces the challenge of efficiently routing AI workload requests across multiple GPU clusters worldwide due to a global shortage of GPUs and rising inference demand. Thalamus, their routing service, addresses this by ensuring requests are directed to the most suitable clusters based on factors like capacity, latency, health, cost, and compliance rules, without introducing significant latency. It uses a combination of static and dynamic state information, distributed databases, and a probabilistic decision-making process to manage routing. Thalamus logs every routing decision, allowing for replay and analysis to optimize its algorithm, ensuring responsiveness and resilience of AI workloads. This sophisticated system enables Cerebrium's customers to focus on delivery rather than deployment configurations, providing a seamless, global application experience.