Higher concurrency
Submit more tasks at the same time during peak traffic.
Introducing PoYo Enterprise.
High-throughput Model APIs and elastic Serverless GPUs, with priority routing, custom capacity, and enterprise support.
fal
WaveSpeed
Replicate
Model API
A production API layer for teams that need higher concurrency, multi-provider failover, and commercial terms shaped around real usage.
Custom pricing
Volume-based terms built around your model mix and traffic profile.
Enterprise analytics
Understand your AI spend, usage, and performance in one place.
Estimated spend
$42.8k
−8.4%
Successful tasks
12.4m
+14.2%
Median queue time
820ms
−18.6%
Provider mix30 days
Provider A · 52%B · 31%C · 17%
Priority routing
Route to providers with the most available capacity.
Reduced queue time
Reduce waiting wherever available capacity allows.
Multi-provider failover
Automatically switch providers when congestion rises.
Dedicated capacity
Reserve capacity for launches and sustained high volume.
Availability SLA
Enterprise API availability target up to 99.9%.
Live capacity
GPU workers follow demand.
Active workers
86
+24 today
GPU utilization
78%
healthy
Warm capacity
12
ready
Container
Scaling policy
Endpoint
Serverless GPU
Deploy custom inference services without managing GPU fleets. Choose the runtime, scaling policy, and capacity profile your workload needs.
One endpoint. Elastic workers. No cluster operations.
Scale to demand
Scale down when idle and burst when traffic arrives.
GPU choice
Match each workload with the right GPU class.
Custom containers
Bring your own runtime, dependencies, and model stack.
Warm capacity
Keep workers ready when latency matters most.
Usage-based billing
Pay for active compute with enterprise volume terms.
Logs and metrics
Track health, utilization, and failures from one view.
Persistent model cache
Keep large weights close to compute across deploys.
Reserved capacity
Plan protected capacity for launches and steady demand.
Talk to our enterprise team.
Share your model mix, expected volume, and launch timeline. We'll respond with an architecture and pricing plan within 1–2 business days.