$2.16 won’t buy you a latte.
$2.16 won’t get you a parking spot downtown.
But $2.16 will get you an NVIDIA H200 on Ocean Network for 1 hour.

In 10 hours, you could fine-tune an open model, run large-scale inference workloads, process massive embedding pipelines, or train experiments back to back without dealing with infrastructure overhead.

With 141GB of HBM3e memory and 4.8TB/s bandwidth, the H200 handles workloads that are still inaccessible to most developers, and 10 hours would cost roughly $21.60.

Most people still assume this class of compute is reserved for hyperscalers and well-funded AI labs.

Access it here: https://dashboard.oncompute.ai/run-job/environments

https://x.com/ONcompute/status/2060400783816892724?s=20