Five workloads where the demand for compute is least negotiable. Delivery is handled by our ecosystem partners; the platform supplies the models, the compute and the inference tuning. We do not build the vertical applications ourselves — a clear boundary is what makes delivery dependable.
The platform owns models, compute and tuning; the partner owns domain knowledge and on-site implementation. Within four steps the customer sees results running on their own data.
We map the latency, concurrency, context-length and compliance constraints, then shortlist model and silicon combinations.
Candidate models are deployed on platform nodes and benchmarked head-to-head against the customer’s own sample data.
Real traffic is routed in for load testing to validate throughput, time-to-first-token and stability, then routing and quota policies are frozen.
The partner takes over application delivery and operations; the platform keeps supplying compute, model updates and inference tuning.
Give us the constraints — latency, concurrency, whether data may leave the jurisdiction — and we will come back with a model and compute pairing.