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

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

128GB LPDDR5x-8000 memory (soldered) + 2TB SSD / Ubuntu
Sale price  $4,349.00 Regular price $4,799.00
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Beelink GTR9 Pro AMD Ryzen™ AI Max+ 395 Processor (OpenClaw & Local LLM Pre-installed)

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

Sale price  $4,349.00 Regular price $4,799.00
RAM+SSD
Operating System

The Beelink GTR9 Pro is built to run large local language models entirely on-device. It uses 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) and comes with OpenClaw and local LLM tooling pre-installed. It is capable of running models in the class of DeepSeek 70B locally, so it suits anyone who wants their data, prompts, and models kept off someone else’s cloud.

Who it's for

  • Running large quantized open-weight models locally with Ollama, llama.cpp, or similar inference stacks
  • Agentic coding workflows with OpenClaw that need zero API latency and zero per-token cost
  • A homelab AI server on 10GbE, serving inference requests to other machines on your network
  • Multi-monitor or high-precision visual work on up to four 8K displays

Key features

  • AMD Ryzen™ AI Max+ 395, 16 Zen 5 cores, 32 threads: AMD’s top-tier APU silicon boosts up to 5.1GHz with 64MB of L3 cache, for compiling, virtualization, and heavy multitasking on top of its AI capability.
  • Radeon™ 8060S iGPU, 40 compute units, RDNA 3.5: With 2,560 stream processors, it is the most powerful integrated GPU AMD ships, in the range of a discrete mobile RTX 4060 for gaming and GPU-accelerated compute.
  • 126 AI TOPS via XDNA 2 NPU + CPU + GPU: Combined CPU, GPU, and dedicated XDNA 2 NPU throughput reaches 126 AI TOPS.
  • 128GB unified LPDDR5X-8000 memory: Memory is shared between CPU and GPU, so a large share of the 128GB pool can go directly to the GPU, which is the biggest factor in how large a quantized local LLM you can load and run at usable speed.
  • Dual 10GbE networking + dual USB4: Two 10-gigabit Ethernet ports and two USB4 (40Gbps) ports let it act as an AI compute hub 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), and the retail unit ships with a 2TB SSD rated up to 7000MB/s.
  • Quad 8K display support: HDMI 2.1, DisplayPort 2.1, and dual USB4 video outputs support up to four 8K displays.
  • 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, in an all-metal chassis with a built-in 230W power supply and no external brick.

Specifications

Spec Detail
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

Good to know

  • Most consumer GPUs top out at 12-24GB of VRAM, which rules out running genuinely large models locally. The 128GB unified memory is what lets this machine load them on a single mini PC.
  • This is a premium machine at a premium price. If you mainly need a fast desktop, Ryzen 7 or Core Ultra machines will do that job for less.

Choose the GTR9 Pro when local AI capability, meaning real model size, real throughput, and data privacy, is the point of the purchase. Choose a cheaper model if it is not.

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