Spare capacity is your cheapest compute.mimOE makes it production-grade.
mimOE is a lightweight runtime and control plane that keeps microservices and agents pre-warmed at negligible cost, restarts them in seconds, and moves them between nodes before an interruption notice expires. Your discounted capacity becomes a fabric customers trust with real workloads.
Cheap capacity, expendable workloads only.
Interruptible capacity sells at a deep discount, but it was never designed for workloads that matter. An interruption notice measured in minutes, restart logic left to the customer, and stacks that take 10 to 15 minutes to come back cleanly. The result: customers limit it to expendable batch jobs, and revenue-critical services stay on overprovisioned on-demand capacity.
Workloads restart in seconds and migrate before the notice expires. The interruption window stops being an architectural constraint.
From discounted leftovers to a revenue layer.
Faster restart and smarter placement make it safe for customers to move real workloads onto your discounted capacity, and open pricing and marketplace models on top of it.
Premium Capacity Tiers
Continuity becomes an upsell: interruptible capacity with seconds-level recovery supports stateless and state-light production services, not just back-office batch.
Higher Utilization, Lower Idle Energy
No hot VM or container pools standing by just in case. mimOE's lightweight runtime keeps services pre-warmed at negligible compute and energy cost.
Marketplace and Brokerage Revenue
Idle endpoint capacity joins the pool and is monetized through a managed marketplace; workloads escalated to GPU clouds or other providers carry brokerage value.
Built for AI-Era Workloads
Agentic, parallel, context-aware workflows map naturally to a mesh of collaborating microservices instead of being squeezed into monolithic VM lifecycles.
Your capacity pool does not stop at the data center.
With mimOE, endpoint devices become first-class members of the same elastic pool as your cloud capacity: gateways, industrial PCs, phones, and cameras execute microservices locally for low-latency inference, and escalate to your cloud automatically when a task exceeds local capacity. You become the broker of a continuum of compute, not just a centralized cloud.
Local Execution First
Latency-sensitive inference and filtering run on the endpoint, cutting bandwidth cost and sharpening user experience.
Automatic Escalation
Tasks that exceed endpoint capacity move to your interruptible or on-demand nodes without the caller noticing.
One Fabric, Every Node
The same agents run in the cloud, on-premises, and on endpoints: one operating engine across the Device-First Continuum.
The operational layer that makes spare capacity dependable.
Sub-Second Startup
Negligible pre-warm overhead and startup in a fraction of a second. Recovery in seconds, not minutes.
Seamless Workload Migration
Microservices move between nodes with stable addressing: callers never need to know which node is active.
Dynamic AAA Security
Zero-trust authentication, authorization, and accounting in execution: agents get the access they need for the outcome at that moment.
Any Configuration, Same Agents
mimOE runs inside a microservice, as a separate process, or on a different node. One agent codebase, every topology.
Self-Healing Operations
Faults in production travel back through build, test, and staging and return as verified fixes: operations drives the lifecycle loop.
Observability Built In
Telemetry and tracing at every migration and every agent interaction, across cloud and endpoints from one plane.
Interruptible capacity today vs. with mimOE.
“mimOE does not replace your capacity tiers. It upgrades them: cheap spare capacity becomes a distributed continuum of intelligence spanning your data centers, your customers' edge, and everything in between.”
Pilot a continuum on your capacity.
Start with a controlled pilot on your interruptible tier: validate seconds-level recovery, workload migration under real termination scenarios, and the energy delta against container-based pre-warming.