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

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

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.