Enterprise

Vidgo Enterprise is now live.

High-throughput image, video, LLM, and 3D APIs — one credit balance, reserved GPU-backed capacity, and a dedicated enterprise team.

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The generation stack your team already knows.

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  • MUAPI

Model API

A production API layer for teams that ship generative media at scale.

Higher concurrency, predictable credit billing, and commercial terms shaped around your model mix — image, video, LLM, and 3D from one account.

Custom pricing

Volume-based terms built around your model mix and traffic profile.

Understand your AI spend, usage, and performance in one place.

Estimated spend

$36.4k

−7.2%

Successful tasks

8.6m

+16.1%

Median queue time

640ms

−21.4%

Model mix · 30 days Video · 52% Image · 31% LLM · 17%

Higher concurrency

Submit more tasks at the same time during peak traffic.

Priority processing

Route enterprise workloads ahead of bursty public traffic.

Reduced queue time

Reduce waiting wherever available capacity allows.

Resilient routing

Keep jobs moving when a model family is congested.

Dedicated capacity

Reserve throughput for launches and sustained high volume.

Availability SLA

Enterprise API availability target up to 99.9%.

GPU capacity follows demand.

Active jobs

86

+24 today

GPU utilization

78%

healthy

Warm GPUs

12

ready

GPU-backed inference. Reserved throughput. No cluster ops.

GPU

Reserved GPU-backed capacity. No cluster to run.

Enterprise jobs run on GPU inference we operate for you — dedicated throughput and a warm pool, without provisioning a fleet. You keep calling the Model API; we hold the GPUs.

Reserved GPUsWarm poolNo cluster ops

No GPU fleet to operate

Run production inference without standing up instances, drivers, or autoscalers.

Reserved GPU capacity

Hold dedicated throughput for launches and sustained high volume.

Warm pool

Keep GPUs ready so jobs skip cold starts when traffic arrives.

Elastic when you need it

Burst beyond the reservation when demand spikes — still behind the same API.

Same Model API

GPU capacity sits behind the endpoint you already call. No new integration.

Usage-based billing

Pay for successful jobs, with enterprise volume terms.

Logs and metrics

Track spend, success rate, and queue time from one view.

Failed jobs not billed

A failed generation is not deducted from your balance.

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.