An NVIDIA H200 has 141GB of HBM3e memory and rents for roughly $2.16/hr on Ocean Network ( ONcompute ), with jobs running up to 12 hours.

In that time, a small team can run a serious LoRA/QLoRA fine-tune of Llama 3.1 70B on proprietary data, experiment with different training configs, and end the day with a domain-adapted model tuned for their exact workflow.

On narrowly defined internal tasks, these models can outperform frontier general-purpose LLMs.

Many startups spend thousands per month locking themselves into reserved GPU cloud contracts just to access this kind of capability.

On the Ocean Network Dashboard, you spin up an H200 node, run the job, and pay only for the compute you use: https://dashboard.oncompute.ai/run-job/environments

https://x.com/oceanprotocol/status/2053870245786308893