Four workload families we run every day — each with its own fabric, storage, and operating pattern.
Pretraining rewards one thing above all: a fabric that never stalls and an operation that never loses a step. Dedicated clusters, checkpoint-aware scheduling, and engineers who watch the run with you.
Chat, generation, embeddings, ranking — served from capacity tuned for the request path, close to users across Asia Pacific. Autoscaling absorbs the spikes; the latency budget holds.
Recsys, forecasting, and campaign models live on fresh data. Burst capacity turns retraining from a weekly compromise into a nightly habit — reserved ahead of campaign drops, released when the run lands.
CFD, molecular dynamics, geophysics, climate — workloads that punish weak interconnects. The same non-blocking fabric we build for training, scheduled the way HPC teams expect.
Most engagements mix two or more of these patterns. Bring the messy version — we'll shape the fleet around it.
Talk to sales