Beelink GTR9 Pro AMD Ryzen™ AI Max+ 395 Processor (OpenClaw & Local LLM Pre-installed)

The Beelink GTR9 Pro is built for one job most mini PCs can’t do: running large local language models entirely on-device, at real speed, with room to spare. With AMD’s flagship Ryzen AI Max+ 395 — 16 Zen 5 cores, a 40-compute-unit Radeon 8060S GPU, and 128GB of unified LPDDR5X-8000 memory — it comes with OpenClaw and local LLM tooling pre-installed and is genuinely capable of running models in the class of DeepSeek 70B locally. If you want an AI workstation that keeps your data, your prompts, and your models entirely off someone else’s cloud, this is the machine built for exactly that.

Key Features

• AMD Ryzen™ AI Max+ 395 — 16 Zen 5 Cores / 32 Threads — AMD’s top-tier mobile/APU silicon boosts up to 5.1GHz with 64MB of L3 cache, delivering desktop-class multi-core throughput for compiling, virtualization, and heavy multitasking on top of its AI capabilities.
• Radeon™ 8060S iGPU — 40 Compute Units, RDNA 3.5 — With 2,560 stream processors, the 8060S is the most powerful integrated GPU AMD ships, delivering performance in the range of a discrete mobile RTX 4060 for both gaming and GPU-accelerated compute, all without a dedicated graphics card.
• 126 AI TOPS via XDNA 2 NPU + CPU + GPU — Combined CPU, GPU, and dedicated XDNA 2 NPU throughput reaches 126 AI TOPS, putting real, sustained AI acceleration behind every local inference workload, not just a marketing number.
• 128GB Unified LPDDR5X-8000 Memory — Because memory is shared between CPU and GPU, the GTR9 Pro can allocate a large share of its 128GB pool directly to the GPU — the single biggest factor in how large a quantized local LLM you can actually load and run at usable speed.
• Dual 10GbE Networking + Dual USB4 — Two 10-gigabit Ethernet ports and two USB4 (40Gbps) ports mean the GTR9 Pro can double as an AI compute hub on a home or office network, serving inference to other machines without becoming a network bottleneck.
• Up to 16TB of PCIe 4.0 NVMe Storage — Dual M.2 2280 slots support up to 8TB each (16TB combined), with the retail unit shipping a 2TB SSD rated up to 7000MB/s — plenty of room for multiple large model checkpoints alongside your OS and projects.
• Quad 8K Display Support — HDMI 2.1, DisplayPort 2.1, and dual USB4 video outputs support up to four 8K displays, suited to expansive multi-monitor workspaces or high-precision visual work.
• Industrial Cooling at 140W TDP, 32dB Noise — Dual turbine fans and a full-surface vapor chamber keep the chip stable at up to 140W sustained TDP while staying near-silent, backed by an all-metal chassis and a built-in 230W power supply — no external brick required.

Why Choose the GTR9 Pro

For local AI work, the constraint that matters most isn’t raw compute — it’s memory capacity and bandwidth for holding the model itself. Most consumer GPUs top out at 12-24GB of VRAM, which rules out running genuinely large models locally at all. The GTR9 Pro’s 128GB unified memory architecture sidesteps that limit entirely, letting you load large quantized models — the kind that would otherwise require a multi-GPU server — onto a single mini PC that fits on a desk and draws a fraction of the power.

That makes it a legitimate alternative to renting cloud GPU time for developers who want to run Ollama, llama.cpp, or similar local inference stacks against genuinely large open-weight models, or who are building agentic coding workflows with OpenClaw and want zero API latency and zero per-token cost. It’s equally at home as a homelab AI server, sitting on 10GbE and serving inference requests to other machines on your network.

This is a premium machine at a premium price point, and it’s worth being clear about who it’s for: if you mainly need a fast desktop, our Ryzen 7 or Core Ultra machines will do that job for less. The GTR9 Pro earns its price when local AI capability — real model size, real throughput, real data privacy — is the point. Ships from our UK warehouse with 1-3 business day processing and free shipping over $199, with ComputaHardware support available if you need help getting your local LLM stack configured.

Specifications

• CPU: AMD Ryzen™ AI Max+ 395, 16C/32T Zen 5, up to 5.1GHz boost, 64MB L3 cache
• GPU: AMD Radeon™ 8060S, 40 CUs / 2,560 stream processors, RDNA 3.5
• AI: XDNA 2 NPU, up to 126 combined AI TOPS
• Memory: 128GB unified LPDDR5X-8000 (soldered)
• Storage: Dual M.2 2280 PCIe 4.0 slots, up to 16TB combined (8TB per slot); 2TB SSD included, up to 7000MB/s
• Networking: Dual 10GbE LAN, Wi-Fi 7, Bluetooth 5.4
• Ports: Dual USB4 (40Gbps), HDMI 2.1, DisplayPort 2.1
• Display: Up to quad 8K@60Hz
• Cooling: Dual turbine fans + full-coverage vapor chamber, ~32dB, up to 140W TDP
• Power: Built-in 230W power supply
• Audio: 4-microphone AI array with 360° 5-meter pickup, dual DSP speakers
• Software: OpenClaw and local LLM tooling pre-installed; Windows 11 Pro or Ubuntu