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GMK Unveils 192GB AI Mini PC

GMK Unveils 192GB AI Mini PC
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#local-inference#unified-memory#mini-pc#edge-aigmk-evo-x5-progmkevo-x5-proamdryzen-ai-max+-pro-495radeon-8065s

💡A 192GB unified-memory mini PC could run 300B AI models locally without a discrete GPU.

⚡ 30-Second TL;DR

What Changed

Powered by a 16-core, 32-thread AMD Ryzen AI Max+ PRO 495 chip based on Zen 5.

Why It Matters

This could make high-parameter local inference more accessible without a discrete GPU or cloud deployment. However, practical performance will depend on model quantization, memory bandwidth utilization, software support, and sustained thermal limits.

What To Do Next

Benchmark a quantized 70B-to-300B model with llama.cpp or vLLM on the EVO-X5 Pro before committing to local inference deployment.

Who should care:Developers & AI Engineers

Key Points

  • Powered by a 16-core, 32-thread AMD Ryzen AI Max+ PRO 495 chip based on Zen 5.
  • Includes 192GB LPDDR5X-8533 unified memory with 273GB/s bandwidth.
  • The Radeon 8065S iGPU can access up to 160GB and the system supports local 300B AI models.
  • Connectivity includes four USB4-class ports, dual 10GbE networking, and a configurable TDP button.
  • GMK has not announced pricing and currently plans only the flagship 192GB configuration.
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