--- title: Savings check — Corbenic AI description: Answer five questions about your GPU setup and see, honestly, whether Corbenic saves you money. If it does not, we will tell you that too. --- [Skip to content](https://www.corbenic.ai/en/savings-check#main-content) [![](https://www.corbenic.ai/hs-fs/hubfs/raw_assets/public/corbenic-theme/images/brand/knot@2x.png?width=38&height=38&name=knot@2x.png) Corbenic](https://www.corbenic.ai/?hsLang=en) - [Home](https://www.corbenic.ai/en/?hsLang=en) - [Product](https://www.corbenic.ai/en/galahad?hsLang=en) - [Pricing](https://www.corbenic.ai/en/pricing?hsLang=en) - [Savings check](https://www.corbenic.ai/en/savings-check) - [About](https://www.corbenic.ai/en/about?hsLang=en) [Check your savings](https://www.corbenic.ai/savings-check?hsLang=en) 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. Where do your GPU servers run? AWS Microsoft Azure Google Cloud API / metered tokens (OpenAI, Anthropic, GitHub…) Other / on-premise Monthly metered AI spend, excluding seat fees GPU type B200 SXM (180 GB) H100 SXM (80 GB) H200 SXM (141 GB) L40S (48 GB) A100 SXM (80 GB) RTX 4090 (24 GB) L4 (24 GB) Number of GPUs Average GPU utilisation ~100% (always busy) ~75% ~50% ~25% or less Main workload LLM inference / agents (long context) RAG / repeated-context pipelines Computer vision Other What you pay per GPU per hour (optional — overrides list prices) Run the numbers Your cost today — With Corbenic — Saving — ## Worth a conversation. These are list-price estimates. A 30-minute scoping call turns them into measured numbers on your own fleet. [Book a 30-minute scoping call](https://meetings-eu1.hubspot.com/sietse-schelpe) [Have someone contact me](mailto:sales@corbenic.ai) How this is calculated: the Galahad licence is $0.78 per 1,000 TFLOPS per hour for each GPU you keep. An H100 is 989 TFLOPS: 989 ÷ 1,000 × $0.78 = $0.77 per hour, about $563 a month. One GPU alone is free. The speedup per workload is a conservative figure from our measurements: up to 8.8× faster long-context loads, bit-exact and SHA-256 verified, and −82% cost per repeated query in RAG and agent loops. Cloud list prices (AWS, Azure, Google Cloud) captured August 2026. Your actual result is measured in a pilot before you commit. ![](https://www.corbenic.ai/hs-fs/hubfs/raw_assets/public/corbenic-theme/images/brand/knot.png?width=34&height=34&name=knot.png) Corbenic [mailto:email@email.com](mailto:email@email.com) Product - [Galahad GitHub](https://github.com/corbenicai/galahad) Company - [Corbenic AI](https://www.corbenic.ai/en/about) Contact [sales@corbenic.ai](mailto:sales@corbenic.ai) © 2026 Corbenic AI, Inc. · Delaware C-Corp [Privacy](https://www.corbenic.ai/privacy?hsLang=en) [Terms](https://www.corbenic.ai/terms?hsLang=en)