MINISFORUM Launches MS-S1 MAX-P495 with 192GB Unified Memory, Expanding Its Local AI Computing Strategy

The MS-S1 MAX-P495's expanded memory capacity, supporting up to 300B-class large language models locally, suggests a design intent to handle more complex AI operations closer to the user or edge environment. This approach can address demands for data privacy and lower latency by reducing reliance on cloud-based AI processing, as described by MINISFORUM.

The company provided specific performance figures, noting that a single MS-S1 MAX-P495 system ran the DeepSeek V4 Flash 284B (Q4) model at approximately 12 tokens per second. This offers a concrete benchmark for its local inference capabilities. The system also supports dual-unit clusters, which reportedly ran Qwen3.5-397B locally at about 16 tokens per second, and multi-node configurations for even larger models.

MINISFORUM's emphasis on multi-system deployment, including 2U rack support, indicates a strategy to extend the MS-S1 MAX-P495's application beyond individual desktops. By enabling distributed clusters, the company aims to position these local AI computing solutions for broader use by enterprises and research teams, suggesting a scalable approach to edge AI in professional settings.