ASRock Industrial AI BOX-A395 AMD Ryzen AI 300 Series 128GB LPDDR5X Mini PC

ASRock Industrial AI BOX-A395 AMD Ryzen AI 300 Series 128GB LPDDR5X Mini PC

The ASRock Industrial AI BOX-A395 is a compact, industrial-grade AI Mini PC designed for high-performance computing in embedded, industrial, and edge AI environments. With the AMD Ryzen AI Max 300 Series CPU and 128GB of ultra-fast LPDDR5X memory, this system delivers powerful AI performance, fast data processing, and reliable operation in a small, rugged form factor.

Powerful AMD Ryzen AI Max 300 Series CPU

At the heart of the AI BOX-A395 is the AMD Ryzen AI Max 300 Series (Strix Halo) processor. Engineered for AI workloads and multi-core computing, this CPU combines high-performance cores with specialized AI acceleration, enabling:

• Real-time AI inference for edge computing applications
• High-speed data processing for industrial automation and machine learning
• Efficient multi-tasking for demanding embedded systems

This CPU ensures that even the most compute-intensive tasks, from predictive maintenance to AI-driven analytics, run smoothly and efficiently.

Ultra-Fast 128GB LPDDR5X Unified Memory

The AI BOX-A395 supports up to 128GB of LPDDR5X-8000 unified memory, providing:

• Rapid data access across CPU and AI cores for seamless performance
• Enhanced AI computation efficiency, reducing latency in inference tasks
• Optimized memory bandwidth for high-performance applications like multi-camera video analytics and real-time monitoring
• Edge LLM Deployment: Run large language models directly at the edge, with up to 96GB of RAM allocated for AI inference and local data processing, enabling real-time AI applications without relying on cloud resources

The combination of a high-performance CPU and massive unified memory makes this system perfect for AI, IoT, and embedded computing applications where speed, scalability, and reliability are critical.

Applications of the AI BOX-A395

The ASRock Industrial AI BOX-A395 is purpose-built for deploying large language models (LLMs) and AI workloads at the edge, delivering high-performance, low-latency inference in industrial and embedded environments. With the AMD Ryzen AI Max 300 Series CPU and 128GB LPDDR5X unified memory, up to 96GB of RAM can be allocated for LLM inference, enabling complex AI tasks locally without cloud reliance. Key applications include:

• Edge AI & LLM Deployment: Run LLMs like LLaMA, Falcon, MPT, or BLOOM directly at the edge for real-time natural language processing, chatbots, code generation, and summarization.
• Industrial Automation & Smart Manufacturing: AI-driven predictive maintenance, workflow optimization, and real-time process control using local LLM-powered analytics.
• Real-Time Decision Making: On-site LLM inference allows intelligent control systems to respond instantly, improving efficiency and safety.
• Embedded AI Solutions: Integrate LLMs in robotics, IoT devices, or HMIs to provide intelligent language interaction and autonomous decision support.
• Surveillance & Security Analytics: Process and interpret large volumes of textual or sensor data locally for actionable insights, reducing cloud dependency.
• Digital Signage & Interactive Displays: Generate dynamic content, AI-driven operator guidance, or intelligent dashboards with LLMs at the edge.

Example LLMs That Can Run on the AI BOX-A395

LLM Name	RAM Requirement	Edge Use Case
Meta LLaMA 4 Scout 109B	~60–70GB	Large-scale text generation and AI reasoning
Mistral Large 123B	~70–80GB	Multi-domain NLP, summarization, analytics
DeepSeek R1 Distill LLaMA 70B	~50–60GB	Compact, high-speed inference at the edge
Nemotron 70B	~50–60GB	Real-time AI processing and data analysis
LLaMA 3.3 70B	~50–60GB	Instruction-following and AI chat applications
Qwen3 30B / A3B	~20–25GB	Edge chatbots, task automation, lightweight NLP
Qwen3 32B / DeepSeek R1 Distill Qwen 32B	~22–28GB	Multi-purpose AI tasks, local language models
Google Gemma 3 27B / 12B	10–25GB	NLP tasks, summarization, multilingual processing
Mistral Nemo 12B	8–12GB	Edge AI, low-latency inference, embedded AI tasks
Devstral 24B	16–20GB	Instruction-following, real-time decision support
Microsoft Phi 4 Reasoning Plus 14B	10–14GB	Reasoning, predictive analytics, automation
DeepSeek R1 Distill Qwen 8B 0528	6–8GB	Lightweight edge AI and local NLP
Meta LLaMA 7B	5–7GB	Compact deployment, chatbots, experimentation
IBM Granite Vision 3.2 2B	2–3GB	Tiny LLM inference, IoT devices, embedded tasks
Microsoft Phi 4 Mini 3B	1–3GB	Minimal resource edge AI, microcontrollers

Notes: Perfect for edge AI deployments where low latency, data privacy, and cloud independence are critical.
Up to 96GB RAM can be allocated for LLM inference, leaving the remainder for OS and other processes.

Why Choose the ASRock Industrial AI BOX-A395?

Compact yet powerful, this AI Mini PC offers industrial reliability, including TPM 2.0 security, redundant BIOS, and RAID support. Its rugged design and extensive connectivity options make it ideal for deployments in harsh or space-constrained environments while maintaining high-performance computing for AI, IoT, and embedded applications.

Contact BVM for Industrial and Embedded Computing Solutions

Contact us for all your Industrial and Embedded Computing needs. Reach our sales team on 01489 780144 or email sales@bvmltd.co.uk. With over 35 years’ experience supplying Industrial and Embedded Computer hardware, we can provide off-the-shelf solutions or design a custom system to meet your unique requirements.