---
title: "Serve LLMs with vLLM — Agent-ready Models"
canonical: "https://build.nvidia.com/station/vllm/agent-ready-models.md"
---

# Agent-ready models

Agent-ready models are tuned for **agentic workloads** — tool calling, reasoning traces, and long multi-turn sessions. Use this tab to pick a recommended model for your hardware platform and follow the launch guidance below.

Follow the launch recipe below for your platform to set up the recommended model.

## Recommendations by hardware platform

| Hardware platform | Recommended agent-ready model | MODEL_HANDLE | Recipe |
| :---- | :---- | :---- | :---- |
| **DGX Spark** | Agent-ready Qwen3.6-35B-A3B (NVFP4) | `nvidia/Qwen3.6-35B-A3B-NVFP4` | [Launch recipe](https://recipes.vllm.ai/Qwen/Qwen3.6-35B-A3B?hardware=dgx_spark_gb10&features=tool_calling%2Creasoning) |
| **DGX Station** | DeepSeek-V4-Flash | `deepseek-ai/DeepSeek-V4-Flash` | [Launch recipe](https://recipes.vllm.ai/deepseek-ai/DeepSeek-V4-Flash?hardware=dgx_station_gb300) |
| **RTX PRO** | Qwen3.6 27B | `nvidia/Qwen3.6-27B-NVFP4` | [Launch recipe](https://recipes.vllm.ai/Qwen/Qwen3.6-27B?hardware=rtx_pro_6000) |

## Verify your server

After you launch a recipe above, confirm startup using **Watch startup** in the **Instructions** tab, then test with **Step 5. Test the API**.

## Next steps

- **General serving workflow:** Docker setup, health checks, and API testing — see the **Instructions** tab  
- **Scale out:** multi-node serving on multi-node capable hardware — see the **Multi-node serving** tab