Build what's nextwith pooled LLM compute

Access pooled nodes, clusters, and GPU capacity through one multi-model inference layer. Jatevo turns distributed compute into reliable tokens for production apps.

Chat
Cerebras
System Prompt:Add system prompt
Draft a launch plan for an AI finance assistant
Cerebras
Use Jatevo to test the prompt against Cerebras, then move the same request shape into your API key when the flow is ready for users.

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Model access

Leading models behind one Jatevo gateway.

Test fast hosted models in the playground and graduate to API keys with the same compatible request shape.

  • Cerebras
  • GPT 5.5
  • GLM 5.1
  • Kimi K2.6
  • Qwen 3.7 Max
Compute network

The clean public API hides the messy compute fabric.

Jatevo makes distributed model capacity feel like one product: one base URL, one key, and one operational surface for builders.

Pooled compute

Package nodes, GPU clusters, and provider capacity into one access layer for model workloads.

GPU pools, node lanes, burst capacity

Multi-model routing

Serve premium, open, and regional models through a single gateway without changing client code.

GPT, GLM, Qwen, Kimi, Cerebras

$JTVO-backed access

Wallet holdings unlock daily request capacity while application keys stay scoped and revocable.

Signed wallet proof, daily quota, API keys

Private control plane

Keep balancing logic, pool selection, account routing, and capacity orchestration inside Jatevo.

Simple API outside, proprietary fabric inside
Pricing and access

Start in the playground. Scale through gateway keys.

Test a model, connect wallet-backed access, then move production traffic to the compatible API.

Access lanes

A clear progression from demo to production.

Jatevo

Playground

Live model testing

Try prompts against hosted models before creating an application key.

Builder

$JTVO-backed API key

Connect a wallet, create a scoped gateway key, and track usage from the dashboard.

Network

Reserved capacity

Route heavier workloads through private pools, custom quotas, or dedicated lanes.

Gateway surface

One public API surface for model traffic, usage tracking, and quota enforcement.

Base
/v1
Keys
sk-clb
Quota
$JTVO

Realtime chat

/v1/chat/completions

Send chat workloads through Jatevo with the standard messages request shape.

Responses API

/v1/responses

Run modern agent workloads through the same pooled compute access layer.

Model discovery

/v1/models

List models available to your key without exposing internal pool details.

FAQ

Questions builders ask first

What is Jatevo.ai?
Jatevo.ai is an OpenAI-compatible inference cloud that turns multiple model providers, GPU pools, and deployment lanes into one gateway for applications.
Do I need to change SDKs?
No. Use a compatible client, set the Jatevo base URL, and send the same chat or responses payload shape your app already understands.
Which models can I test?
The public playground includes fast hosted models such as Cerebras, GPT 5.5, GLM 5.1, and Qwen 3.7 Max.
How does $JTVO access work?
Wallet-linked access can unlock daily request capacity. Application keys stay scoped, while Jatevo handles quota checks and routing behind the gateway.
Can Jatevo support private deployments?
Yes. The same control plane can be pointed at private pools, reserved capacity, or enterprise deployment lanes when a team needs more control.
What should I try first?
Start with the playground, then create a dashboard key when the prompt and model behavior are ready for your app.

Bring real model capacity into your next AI product.

Test the model lane in the playground, then ship against one compatible Jatevo gateway.