Cloud Service Providers

Deliver more GPU products from the hardware you already own.

Cerio.ai's composable layer transforms a fixed fleet of GPU servers into a flexible catalog of tenant-ready instances — without buying a single additional card.

The Problem

GPU fleet underutilization is the silent margin killer.

Single-tenant GPU architectures force CSPs into a painful trade-off: over-provision hardware to meet peak demand, or turn away customers when demand spikes. Either way, idle silicon erodes profitability and constrains growth.

Single-tenant waste drains revenue

Dedicated GPU instances sit idle between jobs — sometimes more than 60% of the time. You bill for one workload but absorb the cost of unused capacity with every cycle your hardware sits dark.

Rigid instance types limit addressable market

Customers need quarter-GPU slices for inference and 8×GPU clusters for training. A fixed catalog forces you to over-provision or turn away workloads that don't fit your standard shapes.

CapEx scales with headcount, not demand

To grow tenant count, CSPs traditionally buy more hardware. Composable pooling changes the equation: extract more revenue per rack before the next procurement cycle.

The Cerio.ai Solution

Multi-tenant composable GPU pools — GPU-as-a-Service, done right.

Cerio.ai disaggregates your physical GPU fleet into a shared composable pool. Tenants receive isolated, right-sized GPU instances dynamically allocated from the pool — no wasted hardware, no noisy neighbors, no locked-in instance shapes.

The result is a true GPU-as-a-Service offering: elastic for your customers, profitable for you. CSPs have launched new GPU product lines in under six weeks and grown tenant density by 4× on the same physical infrastructure.

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Dynamic GPU pool allocation adjusts in real time to tenant demand
API-driven provisioning integrates with Kubernetes, OpenStack, and custom orchestrators
Per-tenant quota enforcement prevents noisy-neighbor GPU contention
Usage-based metering exports directly to existing billing pipelines
Live utilization dashboards expose pool health and revenue per GPU

Measured Outcomes

Results CSPs see after deploying Cerio.ai.

Tenant density per GPU rack

52%

Margin improvement per GPU node

6 wks

Time to launch GPU-as-a-Service

68%

Reduction in GPU idle time

Platform Capabilities

Everything you need to operate a GPU cloud.

Fractional GPU instances

Slice a single H100 into 1/8, 1/4, 1/2, or full-GPU tenant instances. Serve inference workloads at a fraction of the hardware cost and grow revenue per node.

Hardware-enforced multi-tenant isolation

Cryptographic workload boundaries ensure zero cross-tenant interference. Enterprise customers get the isolation guarantees they require without dedicated hardware.

Rapid time-to-market for GPU products

Stand up a fully featured GPU-as-a-Service catalog in weeks, not quarters. Cerio's composable layer integrates with your existing provisioning and billing systems.

CapEx reduction through higher utilization

Delay your next hardware refresh by extracting more tenants from your existing fleet. Composable pooling converts stranded capacity into billable GPU-hours.

Get Started

Ready to turn idle GPUs into a profitable service?

See how Cerio.ai compresses months of product development into weeks and makes every GPU in your fleet billable.