How to Get Started With Gpuaar in Under 5 Minutes
By Marcus Lowe, Solutions Lead
Before you start
Good news: there's almost nothing to set up. Gpuaar is designed so you can go from "curious" to "running" without an engineering project. Here's the exact path.
Step 1 — Open the door (zero cost)
Head to the Gpuaar page and hit Start. There's no contract and no upfront cost — zero upfront · pay per gpu-hour. This is the single biggest reason teams stall on AI adoption, and Gpuaar removes it entirely.
Step 2 — Connect what you already use
Gpuaar plugs into your existing stack with one-click integrations. No migration nightmares, no rip-and-replace. Most teams are live in their workflow in under two minutes.
Step 3 — Put it to work
Pick your first job. The highest-leverage starting points we see:
- Train frontier-scale models
- Burst into huge capacity on demand
- Avoid GPU capex entirely
- Run distributed training jobs
Step 4 — Lean on the features that move the needle
- National-Lab-Class Arrays. Reserve compute arrays that rival national labs, on demand.
- No Hardware Spend. Skip capex entirely — no buying, racking, or maintaining GPUs.
- Instant Provisioning. Reserve and launch massive capacity in seconds.
- Top-Tier GPUs. Access the latest accelerators without waitlists.
Step 5 — Scale as you win
Because the model is a partnership, you scale at your own pace and Scale shares in the upside. Start small, prove value, then expand — the pricing rewards growth instead of punishing it.
Common questions
How big can I scale? Up to compute arrays that rival national labs — provisioned on demand in seconds.
Do I have to buy hardware? Never. Gpuaar is fully GPU-as-a-service with zero hardware spend.
That's it. Five minutes from now you could be running the same technology that helped build the AI industry.
Ready to see it for yourself? Start with Gpuaar — free to start → Zero upfront cost. We only win when you win.