Ultra-Small AI Supercomputer
Based on AMD Ryzen™ AI MAX+ 395 Processor
The iceBook Vertex MX10, accelerated by the powerhouse AMD Ryzen™ AI Max+ 395 processor and full-stack AI software, packs workstation-grade AI compute into your desktop. Its ultra-compact Mini PC footprint facilitates seamless local LLM deployment, delivering class-leading AI TOPS for innovators who demand excellence without cloud dependency.
Flagship Strix Halo architecture
(16 cores / 32 threads)

Revolutionary graphics for gaming, 3D, and rendering

Hardware acceleration for local AI
Over 50 TOPS

Optimized Cooling Design, stable operation


Ultra-low latency and MLO multi-link operation

Perfect for Dual OS

Stable connection and minimal latency

Engineered with the 16-core, 32-thread AMD Ryzen™ AI MAX+ 395 processor, our server provides local, queue-free AI acceleration across critical workloads.



The groundbreaking iceBook Vertex MX10 brings workstation-class AI computing capabilities directly to the desks of developers, AI researchers, and data scientists. Empower local AI development with extreme thermal efficiency and whisper-quiet operation.
Ultra-dense 1.2L chassis: 150 x 150 x 51 mm

Central to the MX10, this flagship "Strix Halo" APU integrates massive compute engines to execute agentic workflows flawlessly.
Provides top-tier single and multi-threaded throughput, accelerating data preprocessing, compilation, and orchestration.
Features dedicated NPU acceleration (50+ TOPS) alongside a robust 40-CU graphics engine for uncompromising local AI modeling.


Leverage 128GB of LPDDR5x unified memory to prototype, fine-tune, and run flagship models like Llama 3 70B or Mixtral locally with zero quantization bottleneck.
Link multiple iceBook Vertex MX10 systems via ultra-fast USB4 and Multi-Gigabit Ethernet to scale your multi-agent workflows effortlessly.
Equipped with cutting-edge connectivity to deliver rapid data transfer and low-latency communication across your local network and distributed AI workloads.

Unleash extreme bandwidth. Connect external AI accelerators, ultra-fast NVMe storage arrays, or dual 8K displays with lightning-fast 40Gbps throughput.

Low-latency dual RJ45 ports ensure rock-solid wired connectivity, perfect for continuous dataset fetching, NAS integration, or orchestrating local AI clusters.

Built-in advanced Wi-Fi and Bluetooth capabilities allow for seamless edge deployments, OTA updates, and wireless integration with IoT sensor networks.
Ubuntu-based DGX OS environment comes pre-configured with drivers, CUDA, and container runtimes out of the box.
Native support for PyTorch, vLLM, TensorRT-LLM, Ollama, and NVIDIA NIM microservices for one-click deployment.
Develop locally on MX10 and seamlessly migrate containers to enterprise DGX cloud or on-prem server clusters.
Run autonomous AI agents (OpenClaw, LangGraph, AutoGen) 24/7 with zero API fees and complete on-premises data sovereignty.
$ icebook-agent start --model deepseek-r1-70b --quant fp4
[INFO] Loading 128GB Unified Memory Pool...
[READY] Local Inference Engine active at 48.5 tokens/sec
[AGENT] Autonomous workflow connected: Email, Calendar, Codebase
_ Waiting for local task execution (0 Cloud Token Cost)
Featuring 1 PetaFLOP of AI performance and 128GB of memory, MX10 empowers you to run complex multi-agent frameworks on-demand. Keep sensitive codebases, financial records, and proprietary weights strictly inside your firewall.
Tackle AI's most demanding workloads with the iceBook Vertex MX10. Its advanced dual-blower vapor chamber design with 7-level smart control delivers smooth, precise airflow. With 1.6x more efficient thermal coverage than comparable compact systems, MX10 stays cool and consistently performs at its peak.
Engineered with side-intake and rear-exhaust channels, multiple MX10 units can be vertically stacked or rack-mounted without thermal throttling, forming a formidable desktop AI cluster.
Rapidly iterate on RAG pipelines and agentic prompts using local Jupyter notebooks and Ollama.
Keep proprietary datasets in-house while performing LoRA fine-tuning on 70B+ foundation models.
Accelerate dataframe processing and graph analytics with the unified 128GB CPU-GPU memory pool.
To help you evaluate your needs before investing, iceBook has set up a Virtual Lab program. This is a remote, on-demand environment with access to a single or dual Vertex MX10 for up to 72 hours. Validate performance and test your actual AI workloads risk-free.
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*Specifications and product images are subject to change.