- GMKTec EVO-X2 achieves faster generation speeds than DGX Spark on large models
- Early Token Latency Improvements Highlight Effectiveness of AMD Ryzen AI Engine
- Mini PC form factor delivers desktop-level AI performance
GMKtec’s EVO-X2 has emerged as a solid alternative to the Nvidia DGX Spark, offering high-performance AI computing at around half the price.
The company claims its compact mini PC delivers faster build speeds for mid-to-large models such as the GPT-OSS 20B and Llama 3.3 70B in recent benchmark tests.
First token latency was also lower across multiple tests, highlighting the efficiency of AMD’s Ryzen AI engine and its optimized memory bandwidth.
GMKTec EVO-X2 excels so far
The EVO-X2 supports a wide range of open source models and frameworks, including Llama, Qwen, Mistral, Ollama, LM Studio and vLLM, allowing developers to run AI workloads locally without relying on cloud resources, providing both flexibility and data privacy.
The device’s compact design also makes it suitable for high-performance mobile workstations where space and energy efficiency are important.
In terms of raw performance, the EVO-X2’s dedicated AI acceleration delivers low-latency multi-threaded inference that directly rivals the DGX Spark.
The device efficiently handles real-world AI workloads, enabling local deployment of large language models without the need for expensive enterprise infrastructure.
Its performance-to-power ratio is particularly high, delivering workstation-level capabilities in a smaller, energy-efficient package.
GMKtec’s EVO-X2 is the world’s first mini PC to launch with AMD’s flagship Ryzen AI Max+ 395 APU.
The device costs €1,499 (around $1,735), less than half the $3,999 price of the Nvidia DGX Spark.
This big price difference is hard to ignore, especially for organizations and individuals weighing budget versus performance.
Despite this difference, the Nvidia DGX Spark remains a high-end enterprise-focused system, offering advantages in areas such as long-term reliability, multi-GPU scalability, and enterprise support.
Users with very large scale or sustained workloads may still prefer Nvidia’s established system.
However, for developers, researchers, and professionals looking for a capable workstation or flexible business laptop, the EVO-X2 presents a practical and less expensive alternative.
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