---
title: AMD Radeon AI PRO R9700 32GB
url: "https://bitworks.io/amd-inference/radeon-ai-pro-r9700-32gb/"
description: "The Radeon AI PRO R9700 has 32 GB of GDDR6 memory, but a running model sees only the portion currently free. The proposed single-card Qwen3.8-27B Q6 profile asks whether that memory tier can support a larger quantization and 32K catalog context without sacrificing useful response time. A separate Q8 candidate uses a shorter 16K context; […]"
---

# AMD Radeon AI PRO R9700 32GB

> The Radeon AI PRO R9700 has 32 GB of GDDR6 memory, but a running model sees only the portion currently free. The proposed single-card Qwen3.8-27B Q6 profile asks whether that memory tier can support a larger quantization and 32K catalog context without sacrificing useful response time. A separate Q8 candidate uses a shorter 16K context; […]

Human-readable page: https://bitworks.io/amd-inference/radeon-ai-pro-r9700-32gb/

## Content

The Radeon AI PRO R9700 has 32 GB of GDDR6 memory, but a running model sees only the portion currently free. The proposed single-card Qwen3.8-27B Q6 profile asks whether that memory tier can support a larger quantization and 32K catalog context without sacrificing useful response time. A separate Q8 candidate uses a shorter 16K context; the difference is a catalog choice, not a tested card limit.

If you have two R9700s, decide whether you need two independent requests or a larger model split across cards. Those need different launchers and measurements. Check both cards' actual PCIe links, power connections and airflow before considering a pair. Flash-Next with host-memory offload remains separate research, not a recipe shown here.

For agents: how to buy here — https://bitworks.io/checkout.md