Savings check
Less compute. Same answer.
Answer five questions about your GPU setup and see, honestly, whether Corbenic saves you money. If it doesn't, we'll tell you that too.
Worth a conversation.
These are list-price estimates. A 30-minute scoping call turns them into measured numbers on your own fleet.
Assumptions: licence = 80% of the reference on-demand rate for your GPU type, re-based quarterly. Measured speedups: 4–5× LLM training, up to 8.8× long-context inference (bit-exact, SHA-256 verified). Provider list prices captured August 2026. Your actual result is measured in a pilot before you commit.
The things people push back on, answered straight
Doesn't vLLM already do this?
No. Every other cache remembers by approximating — it keeps a fuzzy, compressed version to go fast and gives up when the memory gets big. We remember exactly, bit for bit, provably identical, no matter how much you give it.
Why can't a bigger company just add this?
This is the hard part everyone else avoids. It is not a feature bolted onto an approximate cache — being exact is a different architecture, and it closes the shortcuts the incumbents built their performance on.
Does it work on today's hardware?
Yes. It works today, on today's hardware, and cuts real bills for real companies. No new law and no future breakthrough required.