Beta GPU control plane

On-demand GPU endpoints without idle burn.

Create EU-hosted GPU deployments from the console, issue API keys, and call OpenAI-compatible endpoints. Billing is metered per running minute, so stopped or deleted deployments stop the meter.

Open Console Read API Docs

Pay while it runs. Deploy a GPU for the job, then stop or delete it when you are done.

EU-centric posture. Built around EU-hosted infrastructure, privacy docs, and beta operating practices.

OpenAI-compatible. Use familiar SDKs and point them at an ExposeGPU endpoint.

Runtime pricing

Prices are copied from the current app config and are billed while the deployment is running.

L4-1-24G

NVIDIA L4 · 24 GB VRAM

€0.021 / minute

Baseline tier for small models, prototypes, and lightweight OpenAI-compatible serving.

L40S-1-48G

NVIDIA L40S · 48 GB VRAM

€0.040 / minute

Mid-tier option for larger models before jumping to H100.

H100-1-80G

NVIDIA H100 · 80 GB VRAM

€0.075 / minute

Premium tier for large models and high-throughput testing.

Use the OpenAI SDK

Issue an ExposeGPU API key, create a deployment, then use the same client shape you already know.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.exposegpu.com/v1",
    api_key="egp_..."
)

response = client.chat.completions.create(
    model="your-deployment-id",
    messages=[{"role": "user", "content": "Hello GPU"}]
)

Beta note. ExposeGPU is currently best for builders who are comfortable with an early console, explicit deployments, and provider-backed GPU availability.

For each project, enable billing, create a deployment, issue an API key, and route requests through the OpenAI-compatible API.

Provider capacity is real

GPU stock can vary by provider zone. If a selected GPU is temporarily unavailable, retry later or choose another GPU type. ExposeGPU surfaces provider failures in the console so you can distinguish capacity issues from app errors.