# BOSGAME Demonstrates Scalable Private AI with 7-Node AI MAX+ 395 Cluster

- Link: https://www.thailand-business-news.com/pr-news/bosgame-demonstrates-scalable-private-ai-with-7-node-ai-max-395-cluster
- Published: 2026-07-16T21:00:00+07:00
- Author: PR Newswire

NEW YORK, July 16, 2026 /PRNewswire/ — [BOSGAME](https://www.bosgamepc.com/), a 
technology-based electronic product brand, has demonstrated distributed inference
of the DeepSeek-V3.1 671B-parameter model on its AI MAX+ 395 7-Node Cluster. Built
from seven BOSGAME M5 AI Mini PCs connected through USB4 Direct Connection, the 
system presents a scalable approach to private AI deployment and local large language
model (LLM) inference.

 [](https://mmx.prnasia.com/media/MS1884156/20260716033239EDT_image_1.jpg?id=OA2767184&p=medium600)

As AI models continue to expand in parameter size and complexity, a single AI PC
may lack the memory and computing resources required for advanced workloads. While
traditional AI servers can provide the necessary computing power, their high deployment
costs and infrastructure complexity can limit adoption. Enterprises and developers
are therefore exploring scale-out architectures that support larger models while
providing greater flexibility than conventional AI server deployments.

Against this backdrop, the BOSGAME AI Cluster offers a modular, cost-effective approach
that grows with users’ needs.

The BOSGAME demonstration shows how seven M5 AI Mini PCs can operate as a unified
AI Cluster. By distributing the inference process across multiple nodes, the cluster
supports models that may exceed the memory capacity of a standalone system. Its 
ability to run the DeepSeek-V3.1 671B model highlights the potential of distributed
computing for locally deployed generative AI applications.

Across seven nodes, the cluster provides 896GB of Unified Memory, with up to 672GB
allocated as Unified VRAM, creating a substantial resource pool for memory-intensive
AI workloads. USB4 Direct Connection enables the nodes to work together without 
requiring a traditional centralized server architecture.

Designed around a modular scale-out architecture, the BOSGAME AI Cluster allows 
organizations and developers to begin with one M5 AI Mini PC and expand capacity
as project requirements evolve. This flexible expansion model supports workload-
based growth and offers a simpler alternative to traditional AI servers while aligning
infrastructure investment with actual computing needs.

Beyond AI inference, the platform also supports local AI development through a local
API service powered by Llama.cpp. The cluster can be used for software development,
debugging, Kubernetes operations, enterprise AI initiatives, and edge AI computing
applications. By keeping workloads and data on local infrastructure, organizations
can maintain greater control over data management and deployment environments.

The demonstration reflects growing demand for scalable private AI infrastructure
capable of supporting increasingly large models. Through distributed inference, 
modular expansion, and local deployment, BOSGAME aims to provide flexible computing
options for enterprises, developers, and edge AI applications.

For more information, visit: [www.bosgamepc.com](https://www.bosgamepc.com).

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