Use cases Local GPU inference
Hardware ROI and open-weight inferenceNative integration for Ollama, vLLM and local open weights, with 0% platform markup.
You bought the NVIDIA cluster or the GPU workstations. Now the team needs a platform that turns raw compute into production workflows. aamp bridges local open-weight models — Llama, DeepSeek, Mistral — with governed agent execution, so you skip SaaS token markups and get predictable return on physical infrastructure.
Point aamp at a vLLM, Ollama, LocalAI or TGI endpoint on your own hardware. No gateway, no broker, no per-token platform fee.
Once the hardware is paid for, an agent run costs electricity and time. There is no usage meter between you and your own GPUs.
Route the sensitive workloads to local weights and the rest to a frontier API, per agent, under one policy layer.
Run the model on your GPUs with the engine your team already uses.
aamp treats a local engine exactly as it treats a hosted API.
Each agent gets the model its data classification allows.