How pricing works
The VRAM bottleneck, solved.
Watch how we use LMCache to bridge the gap between GPU memory and
local storage, ensuring your model never forgets a prompt.
Pricing
We only bill for what we fix
Traditional GPU billing is a black box that rewards inefficiency. You pay for time, even if that time is wasted.
At Tensormesh, we’ve replaced standard subscriptions with a Value-Share model.
The 70% Win
You keep 70% of the savings, plus the performance boost of sub-second latency.
Zero Risk
If we don’t identify a computation shortcut for your workload, you don't pay us a cent.
True Alignment
We don’t charge a flat fee. We take a 30% "Success Fee" only from the costs we actually save you.
