The only thing
with as much upside as AI
is the potential bill.
The choice of models, runtimes, and hardware is exploding. So is the cost of choosing wrong.
Building the best inference stack in your cloud takes automation and judgment. Inference2 provides both.
Measure twice. Deploy once. Watch always.
Operational excellence has two halves: understanding the entire stack well enough to plan for efficiency and resilience, and monitoring it closely enough to catch drift before it becomes costly.
Wayfinder
Tune your stack before you deploy.
Run sweeps across runtimes, hardware, and configurations to find the best setup for your workload. Evaluate against the theoretical performance ceiling, not intuition.
02 / MonitorSightlines
See everything. Focus on what matters.
Get actionable reports from high-resolution data collected across hardware resources, the kernel, and the runtime, analyzed to find the signal in the noise and tied back to business metrics.
Working with