Private beta — Perth, Western Australia

AI infrastructure
for Australian research

GPU compute, model hosting, and training jobs — built and operated in Western Australia. Sovereign compute keeps your data in Australia. Global options available when you need them. One API, from laptop to cluster.

Request access View docs

What is this?

Built for Australian research

Yarn is a GPU compute platform designed for research workflows and elastic scaling — with optional Australian data residency for workloads that require it.

Sovereign compute, your choice

Choose Australian data residency when your work requires it. Sovereign models run entirely on Perth hardware — your data never leaves the country. Global options available for cost-conscious workloads.

GPU compute on demand

RTX 4090 on bare metal today. H100 cloud spokes when you need them. One API, any scale.

Research-first platform

Submit training jobs, launch interactive GPU sessions, fine-tune models. Built for researchers, not DevOps engineers.

OpenAI-compatible API

Drop-in replacement. Switch one base URL and your existing code works. Streaming, function calling, embeddings.

One install to GPU

One command registers your machine, detects your GPUs, and joins the network. No Kubernetes, no Docker, no config files. Submit training jobs, launch interactive GPU sessions, or register models for inference — all through the same SDK.

Bring your own GPU for free. Need more compute? Set a budget and Yarn provisions on demand — per-second billing, no surprises.

Read the docs

import yarn
import torch

# Your code. Wrap it in a session and it runs on a GPU.
with yarn.session(gpu="rtx-4090") as device:
    model = MyModel().to(device)
    optimizer = torch.optim.Adam(model.parameters())

    for epoch in range(100):
        loss = train_step(model, data, device)
        device.log({"epoch": epoch, "loss": loss.item()})

    device.save("model.pt", model.state_dict())
# GPU released. Logs and checkpoints in your dashboard.

Simple, transparent pricing

Start free with your own GPU. Pay only for what you use with credit packs. Private beta pricing — no contracts, no lock-in.

BYO GPU

Free

Bring your own hardware. Share compute across your team or institution.

Connect your GPUs to the Yarn network
Share compute between teams and researchers
Manage distribution across an entire institution
Australian data residency
Overflow to shared pool when you need more

Request access

Managed compute

From $1.50/hr

Set clear budgets and plan your spending. Per-second billing, full cost visibility, no surprises.

Training jobs and interactive GPU sessions
Chat and API inference
Budget limits, alerts, and auto-reload
Per-team and per-user spend controls
No lock-in — cancel anytime