AI inference economics, inside your boundaries.
servescale.ai helps IT organizations offer cost-effective inference and model-hosting services across cloud, colo, and on-prem infrastructure — with enterprise control, predictable budgets, and target inference cost reduction of 60%+.
Understand the workload/model and available infrastructure.
Observe performance, learn, and adapt.
Transform the workload/model to match the infrastructure.
Utilize and optimize resources where available.
A private inference cloud your IT team can actually operate.
servescale.ai packages model serving, optimization, scheduling, routing, caching, virtualization, and operational controls into a self-hosted software appliance for enterprise inference.
Your models
Open-weight, custom, domain-specific LLMs and SLMs with enterprise controls over deployment and updates.
Your infrastructure
Public cloud, neocloud, colo, on-prem, CPUs, GPUs, NPUs, xPUs, Kubernetes, and existing enterprise platforms.
Your economics
Predictable budgets, higher utilization, lower waste, and target inference cost reduction of 60%+.
The economic control plane for private inference.
Economics-first, model- and topology-aware inference.
Enterprise control-plane DNA, not another API endpoint.
We focus on waste reduction and utilization, not increasing GPU capacity consumption. The platform runs across cloud, colo, and on-prem infrastructure, integrates with important open-source building blocks, and preserves enterprise control.
Help shape the private inference cloud category.
The ideal design partner runs meaningful inference workloads, cares about cost predictability, and needs to keep models, data, and operations inside enterprise boundaries.
What we’ll discuss
See how servescale.ai can lower inference cost inside your boundaries.
A good demo starts with your reality: models, traffic, hardware, latency targets, governance constraints, and where inference costs are getting painful.
Send a demo request
Demo agenda
Talk to the servescale.ai team.
Reach out for product questions, design partner conversations, investor discussions, partnerships, or hiring.