MULTI-CLOUD GPU PLATFORM

The compute layer for

AI that never runs out of GPUs

InstantGPU.ai is the GPU cloud platform for dedicated GPU instances, serverless inference, and production-ready AI APIs — one platform, one account, 100+ GPU types.

320+ GPU models available across A100, H100, L40S, RTX 4090 and more
Multi-cloud GPU sourcing across a growing network of leading GPU providers
Automatic cross-provider migration if your GPU becomes unavailable
Per-second billing on Serverless GPU and Endpoints · per-hour billing on GPU Cloud

THREE WAYS TO RUN AI

Three ways to run AI on InstantGPU today

As a full GPU cloud platform, InstantGPU lets you pick the level of control you need a dedicated GPU cloud instance with full SSH access, a serverless GPU deployment that scales to zero, or production AI model APIs with no infrastructure at all. Switch between them under the same account as your workload changes.

GPU Cloud

Spin up a dedicated GPU with full VM control — SSH in, install anything, and run it like your own server. Pause or schedule it around your work hours, with automatic migration if your GPU becomes unavailable.

Run your AI workloads on dedicated GPUs

Serverless

Deploy inference or training functions from one of 100s of templates or your own container. Pay only for the seconds your GPU is actually running — scale to zero when idle, burst up when traffic spikes.

Deploy AI workloads that scale automatically

Model APIs

Skip infrastructure entirely. Call production APIs for image, video, audio, language and embedding models. Test any endpoint live in the Playground before writing a line of code.

Integrate AI models directly into your applications

AVAILABILITY

Never lose your GPU automatic GPU availability failover across
providers
migration

Most GPU marketplaces leave GPU availability and capacity shortages to you. InstantGPU doesn’t. Every GPU Cloud instance is backed by continuous availability monitoring across every provider we connect to.

1

GPU Unavailable Detected

We instantly detect an unavailable or unhealthy GPU instance.

2

System Searches in Your Region

We scan connected providers and capacities near you in real-time.

3
3a

Equivalent Found

Auto-Migrated

We automatically migrate you to the best available GPU. No action needed.

OR
3b

Nothing Found

You're Notified

We alert you instantly so you can choose an alternative or wait for capacity.

4

Back Online.

Work Continues.

You're back online with minimal disruption. Focus stays on your work, not infrastructure.

TEMPLATES

Deploy AI model from template or bring your own.

Skip environment setup entirely. Choose from a growing library of Deploy AI models from pre-built templates — PyTorch, TensorFlow, vLLM, ComfyUI, popular open-source models, and common training/inference stacks — for both GPU Cloud and Serverless. Or build and save your own custom template for repeatable deployments.

PUBLIC ENDPOINTS

Full control across five modalities

One set of production AI APIs across image, video, audio, language, and embeddings — no infrastructure to manage.

Image

Generation, editing, upscaling

Video

Generation and editing models

Audio

Speech, transcription, synthesis

Language

Chat, completion, reasoning models

Embeddings

Search, retrieval, similarity

Test any of the five modalities instantly in the Playground before you integrate.

COMING SOON

The Application Layer

We’re building a layer of ready-to-use AI solutions on top of GPU Cloud, Serverless and Endpoints so companies and individuals can put AI to work without building infrastructure at all.

PROCESS

How it Works

Get started on this GPU cloud platform in three steps no sales call required.

Create an account

Login/Signup and add a payment method and you're in — no sales call required.

Choose your path

A dedicated GPU Cloud instance, a Serverless deployment from a template, or a Public Endpoint call.

Define your Handler

Write a Python function with our decorator. No YAML, no Kubemetes, no boilerplate. Just your model logic.

WHY INSTANT GPU

Why InstantGPU instead of going direct to one GPU provider

Most GPU providers give you raw compute. InstantGPU gives you a full GPU cloud platform that shops across providers for you.

One account, one API, one invoice

Instead of separate contracts with every GPU vendor.

We shop around, so you don't have to

Continuously sourcing capacity & pricing across multiple GPU clouds.

If capacity disappears, we move you

Automatically — not the other way around.

one account · one API key
GPU Cloud
Serverless
Endpoints
your-instance-01

move fluidly between all three, anytime

your-instance-02

RTX 4090 · Vast.ai · us-west

your-instance-03

8x H100 SXM · Shadeform · us-central

Ready to stop worrying about capacity?

Create an account in minutes. No sales call required.

FAQ’S

GPU FAQ's

What is InstantGPU.ai?
InstantGPU.ai is a GPU cloud platform that provides dedicated GPU instances, serverless GPU inference, and production-ready AI APIs across 320+ GPU types, sourced from a multi-cloud network of GPU providers.
Going direct to a single GPU provider ties you to that provider’s availability, pricing, and fleet. InstantGPU.ai sources GPU availability across multiple connected providers under one account, one API, and one invoice — and automatically migrates your workload if your GPU becomes unavailable.
If a GPU becomes unavailable or unhealthy, InstantGPU.ai automatically detects it, searches connected providers in your region for an equivalent GPU, and migrates your workload with no manual action required. If no equivalent is found, you’re notified immediately with alternatives.
GPU Cloud gives you a dedicated instance with full SSH access, billed per hour — best for training and long-running workloads. Serverless deploys functions that scale to zero when idle and bill per second — best for variable inference traffic. Model APIs are production-ready endpoints you can call directly with no deployment step at all.
320+ GPU types across providers, from entry-level cards to frontier hardware like the H200 and B200, with live per-hour pricing.
No — create an account, add a payment method, and start deploying immediately.
Yes, on both GPU Cloud and Serverless, alongside a library of pre-built templates for common frameworks like PyTorch, TensorFlow, vLLM, and ComfyUI.