Time to launch
<60 seconds from CLI/console to running workloads cost.
Deploy in minutes, not weeks.
FlexAI unifies workload orchestration, policy governance, and multi-cloud automation into a single platform.
This means that dev teams can train, fine-tune, and serve models with one click across any cloud and any compute.
While point solutions specialize in a slice of the stack, such as GPU scheduling, Ray-based scaling, serverless inference, or Kubernetes ops, FlexAI delivers a full, vertically-integrated "AI factory" with end-user consoles, admin controls, and productized SKUs.
Our customers get measurable utilization and cost outcomes, not just a scheduler or a serving endpoint.
Notes: Numbers vary by model size, traffic pattern, and cloud pricing. We share customer-specific TCO models during evaluation. (Additional pricing comps available in our sales appendix.)
<60 seconds from CLI/console to running workloads cost.
Deploy in minutes, not weeks.
typically >90% with workload-aware scheduling
50–80% lower cost per workload depending on baseline and mix, backed by our pricing and performance workups
In our H100 node annualized comparison, at 0.8–0.9 utilization ~46–47% vs. Run:AI and ~87% vs. Anyscale
p95 latency ≤50 ms, self-healing success >98% (design SLOs used in our inference PRD).
One platform. Any cloud. Any hardware. Anywhere.
Get Started with $100 Credit