Inworld Compute

Infrastructure service

Dedicated NVIDIA B200 GPUs for high-volume realtime workloads such as LLM inference, dedicated TTS serving and custom model hosting, with Kubernetes access or Inworld-managed deployment, and deployed models routable through Inworld Router.

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TypeInfrastructure service
RoleStandalone tool
AvailabilitySold
DeploymentPrivate cloud
Intended forEnterprise, Developer
SecurityNot recorded
StatusActive
Sold withinSold on its own
PricingUsage-based — official pricing ↗

What it does

Features 6

inworld.ai

Sources

Pricing

Official documentation · 11 Oct 2026

"From $5 per GPU hour"; example "B200 x4 ... $5/GPU/hr". No free allowance.

Description

Official documentation · 11 Oct 2026

"Dedicated NVIDIA B200 GPUs for custom, high-volume realtime workloads. Run any model with Kubernetes access or let us handle deployment. Integrates with Realtime TTS, STT, Router, and Realtime API." "Dedicated GPU capacity for LLM inference, dedicated TTS serving, custom model hosting"; "Deploy a model and it appears in Inworld Router".

What it does

Official documentation · 11 Oct 2026

Serving models on dedicated GPUs.

Sold within

Official documentation · 11 Oct 2026

The page carries its own rate ("From $5 per GPU hour") and is bought on its own; it integrates with, but does not require, the other Inworld products.

Name

Official documentation · 11 Oct 2026

Page heading "Inworld Compute"; "Why Inworld Compute".

URL

Official documentation · 11 Oct 2026

Product page "GPU Compute: NVIDIA B200 GPUs Available Now".

Deployment

Official documentation · 11 Oct 2026

Dedicated GPUs operated by Inworld for one customer, with "Kubernetes access" or managed deployment.

Interfaces

Official documentation · 11 Oct 2026

Kubernetes access to the GPUs, or a managed deployment served at "api.inworld.ai/v1/chat/completions".

Intended for

Official documentation · 11 Oct 2026

Teams with "custom, high-volume realtime workloads".

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