Deploy AI models in 30 seconds.
No GPUs. No Kubernetes. No infrastructure.

HyperCLI is the universal AI runtime that runs any model — Llama 3, Mistral, Flux, Whisper, custom checkpoints — across a global GPU fabric with a single command.

$ pip install hypercli-cli
$ hyper instances launch nvidia/cuda:12.0 -g l40s

Launch your own OpenClaw Agent

Get Started

Trusted by engineers at

Google
Nvidia
Microsoft
Amazon
Meta
Apple
AWS
Audi
Siemens
Airbus

Instant Deployment

The fastest way to run AI in production

Skip GPU provisioning, container builds, schedulers, autoscaling, and model wiring.
HyperCLI turns your code into a production-grade, GPU-backed endpoint in seconds.

Deploy LLMs, diffusion, audio, TTS/STT

Any model architecture, any framework

Serverless autoscaling

From zero to thousands of requests

Global endpoints

Low-latency inference worldwide

Streaming APIs

Real-time token streaming built-in

Zero infrastructure to manage

No Kubernetes, no containers, no ops

Why HyperCLI?

The universal runtime + orchestration layer for modern AI

HyperCLI handles everything under the hood:

GPU scheduling & placement

Distributed execution

GPU splitting

Model loading & caching

Failover & autoscaling

Cost optimization

Logging & observability

You write code
HyperCLI runs it anywhere
It scales automatically

Why HyperCLI is so fast

Built on a high-performance orchestration engine

HyperCLI's infrastructure fabric is optimized for low latency and maximum throughput:

Multi-cloud + on-prem + data center routing

Accelerated runtimes (vLLM, SGLang, TensorRT-LLM)

Quantization and model optimization baked in

GPU splitting (1 GPU → multiple workloads)

Predictive autoscaling

Fast cold starts

The result: deployments measured in seconds, not hours.

Templates & Blueprints

Deploy complete AI apps in one command

Skip the boilerplate. Use production-ready templates.

RAG pipeline

Llama 3 / Mistral + Chroma

Llama 3 Chat API

GPT-style inference server

Flux.1 Image Gen

text → image

Fine-tuning pipeline

LoRA, QLoRA, checkpoints

Video captioning

Whisper + Llama

Agents & tools

function calling + orchestration

Embeddings-as-a-service

Vector generation API

Multi-model router

Intelligent model selection

Batch job queue

Background processing

$ hyper instances launch rag-pipeline
✓ Template deployed

Playground

Try any model instantly

No setup. No credit card. No GPUs required.
Run LLMs, image models, embeddings, and audio models — then export the code to your project in one click.

Pricing

Simple, transparent, usage-based

  • Free tier with GPU credits
  • Pay-as-you-go compute
  • Team & enterprise plans
  • No hidden fees
  • Bring your own GPUs (optional)