At 4:40 p.m., a small AI team has one inference run left before a customer demo.
This is a scenario, not a customer story.
Their local setup can run the model, but a larger test cycle means waiting on shared hardware or spending cash on equipment before they know what will work.
ServeTheHome put a Gigabyte W775-V10-L01 desk-side GB300 system through its paces.
The test ran Qwen3.6-35B-A3B Flash at more than 26,000 tokens per second.
It is a glimpse of what a team can do when compute capacity is close at hand.
For a smaller team, the practical win is access to a run when the decision is still open.
They can test the prompt, find the failure, and get the demo out while the customer conversation is still active.
BHK Cloud offers RTX 3090 compute at $0.15/hr.
Buy Now Pay Later keeps the start at zero upfront, with payment after one month.
https://ai.bhkcloud.com/?utm_source=linkedin&utm_medium=social&utm_campaign=bhk_social_2026w41&utm_content=morning What AI workload has your team delayed because the compute bill arrived too early?
Originally posted on linkedin_personal