Media & Entertainment
Elastic GPU pools that hit every production deadline.
Cerio.ai turns your render farm into a dynamic GPU pool that scales to match shot queues, not hardware budgets. VFX studios and streaming platforms cut frame costs by up to 60% while meeting every delivery schedule.
The Problem
Fixed render farms cost you money whether cameras are rolling or not.
Production workloads are inherently bursty — a single VFX sequence can demand 10× your baseline GPU capacity for two weeks, then drop to near zero. Static hardware can't match that curve. The result is chronic over-provisioning, idle silicon, and budget pressure on every production.
Idle render farm capacity bleeds budget
Between production peaks, a typical VFX render farm runs at 20–30% GPU utilization. Hardware bought for the busiest deadline sits dark the rest of the year — every idle GPU-hour is money your studio doesn't recover.
Production deadlines don't wait for hardware procurement
When a studio picks up an additional sequence or a streaming platform moves a delivery date forward, there's no time to rack new servers. Fixed capacity means either turning down the work or accepting crunch.
Separate pools per production waste headroom
Most studios silo GPUs per project to avoid scheduling conflict. When one production is in heavy compositing and another is idle in pre-vis, neither pool can borrow from the other — utilization stays low even when aggregate demand is high.
The Cerio.ai Solution
Dynamic GPU pools for VFX — elastic by design, profitable by default.
Cerio.ai disaggregates physical GPU hardware into a shared composable pool that all your productions draw from simultaneously. Each production gets an isolated priority lane with guaranteed capacity when it matters — and releases that capacity back to the pool when it doesn't.
The platform integrates directly with your existing render manager, so artists never change their workflow. The elasticity happens at the infrastructure layer, invisible to Deadline queues and DCC tools alike.
Talk to a solutions architectMeasured Outcomes
Results studios see after deploying Cerio.ai.
Reduction in render time
Lower cost per rendered frame
GPU utilization improvement
Platform Capabilities
Built for the cadence of production.
Render-farm elasticity
Automatically expand your GPU pool when a shot queue grows and contract it when renders complete. Pay only for active GPU-seconds, not provisioned rack space.
Deadline-driven GPU scaling
Priority policies guarantee GPU headroom for critical-path shots. When final delivery approaches, Cerio.ai pre-emptively shifts capacity toward the deadline-locked workload.
Shared infrastructure across productions
Multiple productions draw from the same composable GPU pool without scheduling conflict or performance interference. A feature in heavy compositing and a series in pre-vis share hardware at full speed.
Get Started
Ready to stop paying for idle render hardware?
See how Cerio.ai fits into your existing pipeline and what your studio could save on cost-per-frame within the first production cycle.