Another win for Intel as GMKTec demos Openclaw-capable mini PC that reaches 180 TOPS, supports 10GbE Ethernet, USB4, and OCuLink — oh, and there's a nifty pseudo-memory feature as well that will help you forget RAM nightmares

TechRadar

Original Source

TechRadar

// Analysis

GMKtec has introduced its Intel-powered EVO-T2 mini PC, explicitly designed to enhance local AI capabilities. The device is highlighted for achieving 180 TOPS in performance, a measure indicative of its capacity for demanding AI computations directly on hardware. Central to its design is an innovative pseudo-memory feature, which the company states is engineered to fundamentally overcome common RAM bottlenecks that typically limit the size and complexity of AI models executable on local devices. This capability is crucial for running sophisticated agentic AI models without constant reliance on cloud resources, directly addressing a persistent challenge in on-device deployments.

// Why It Matters

Signal Intelligence Assessment

The EVO-T2 mini PC's pseudo-memory feature directly addresses a critical RAM bottleneck, enabling OpenClaw developers to deploy larger, more complex agentic AI models on local hardware than previously feasible for this form factor.
Achieving 180 TOPS performance in a mini PC form factor signals a shift in hardware capabilities, challenging practitioners to re-evaluate the compute density and performance expectations for compact, on-device agentic AI deployments.
The introduction of a specialized mini PC like the EVO-T2 with a dedicated solution for memory bottlenecks marks an emerging category of hardware explicitly designed for local AI, intensifying competition and offering new specialized tools for the OpenClaw ecosystem.
OpenClaw builders must note the lack of technical detail on the "pseudo-memory" implementation; further information on its architecture, performance characteristics, and compatibility is necessary for informed decisions on its integration into production agentic systems.

Analyzed 17:00 PT · Trace No. 002 · March 2026

Back to Trace No. 002 · March 2026