Inference as a Service

Serverless inference pay per traffic

No pre-provisioned instances — scale up on traffic, scale to zero when it leaves. Billed per token and second, cold start in seconds.

Core strengths

Turn inference into an API

Focus on business, we handle infrastructure.

⚡

Second-level cold start

Pulled up on request, no always-on.

📐

Auto-scaling

Elastic with concurrency, no drop at peaks.

🪙

Pay per use

Per token/second; zero cost when idle.

🧩

Multi-model

Built-in vLLM and mainstream open models.

Model & Access

Billing and access

Billing

Per token/second

Granular metering
Unittoken+sec
Minzero idle
Currencymulti
Predictable cost.
Access

Unified API

OpenAI-compatible
Protocompatible
SDKmulti-lang
Switchhot model
Zero-friction onboarding.
Perf

High throughput

vLLM accelerated
EnginevLLM
Batchcontinuous
Latencylow
Production-grade.

Drive inference cost to the minimum

Pay only for compute you actually use.

FAQ

FAQ

How is Serverless inference billed?

Per token and runtime, finely metered; no charge when no request.

Which models are supported?

vLLM and mainstream open models, hot-swappable.

Cold start time?

Seconds — fits bursty traffic.

Serverless vs reserved?

Steady high load → reserved; spiky → Serverless.

Say goodbye to idle cost with Serverless

Connect a unified API, pay per traffic elastically.