iceBook Vertex MX10

Where to buy
iceBook AI Powered by AMD Ryzen™ AI
126 TOPSAI Performance
128GBUnified Memory
DedicatedAI SSD Storage

Ultra-Small AI Supercomputer

iceBook Vertex MX10

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.

AMD Ryzen™ AI MAX 395

Flagship Strix Halo architecture
(16 cores / 32 threads)

AMD Processor

AMD Radeon™ 8060S

Revolutionary graphics for gaming, 3D, and rendering

AMD Graphics

NPU AMD Ryzen™ AI

Hardware acceleration for local AI
Over 50 TOPS

NPU Processor

132–175W TDP

Optimized Cooling Design, stable operation

Cooling System

128 GB LPDDR5X 7500 MT/s

1 TB M.2 2280 NVMe SSD

Memory and SSD

Wi-Fi 7 (802.11be)

Ultra-low latency and MLO multi-link operation

Wi-Fi 7 Technology

Windows 11

Ubuntu Linux

Perfect for Dual OS

Windows 11 OS

Bluetooth 5.4

Stable connection and minimal latency

Bluetooth 5.4
Target Audiences

Empowering the Best Minds

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

AI Researchers

AI Researchers

AI Educators

AI Educators

AI Developers

AI Developers

MX10 Podium
Design & Performance

Revolutionary AI Performance on Your Desktop

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.

Compact, Powerful, and Scalable

Ultra-dense 1.2L chassis: 150 x 150 x 51 mm

Compact Size

Unparalleled AI Performance

Up to 126 TOPS of Total System AI Performance Delivers extreme throughput via combined CPU, GPU, and NPU architectures to power large reasoning workloads locally.
128 GB LPDDR5x Unified System Memory Empowers massive parameter model development, experimentation, and rapid inferencing with immense memory bandwidth.
Up to
126 TOPS
Total System AI Performance
Unified Memory
128GB
High-Bandwidth LPDDR5x

Cutting-Edge Architecture

AMD Ryzen™ AI MAX+ 395 Processor

Central to the MX10, this flagship "Strix Halo" APU integrates massive compute engines to execute agentic workflows flawlessly.

16-Core / 32-Thread Zen 5 CPU

Provides top-tier single and multi-threaded throughput, accelerating data preprocessing, compilation, and orchestration.

AMD XDNA™ 2 NPU & RDNA™ 3.5 GPU

Features dedicated NPU acceleration (50+ TOPS) alongside a robust 40-CU graphics engine for uncompromising local AI modeling.

AMD Ryzen AI Die Shot
Local LLM Inference
Performance

Deploy Frontier Local LLMs

Support for 100B+ Parameter Models

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.

High-Speed AI Node Clustering

Link multiple iceBook Vertex MX10 systems via ultra-fast USB4 and Multi-Gigabit Ethernet to scale your multi-agent workflows effortlessly.

Connectivity

Meets Next-Gen I/O: Ultra-Fast Bandwidth

Equipped with cutting-edge connectivity to deliver rapid data transfer and low-latency communication across your local network and distributed AI workloads.

Dual USB4 40Gbps

Dual USB4 40Gbps

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

Multi-Gigabit LAN

Multi-Gigabit LAN

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

Next-Gen Wireless

Next-Gen Wireless

Built-in advanced Wi-Fi and Bluetooth capabilities allow for seamless edge deployments, OTA updates, and wireless integration with IoT sensor networks.

✓

Preloaded AI for Instant Development

Ubuntu-based DGX OS environment comes pre-configured with drivers, CUDA, and container runtimes out of the box.

⚡

Optimized AI Tools & Frameworks

Native support for PyTorch, vLLM, TensorRT-LLM, Ollama, and NVIDIA NIM microservices for one-click deployment.

⇄

Scale from Desk to Cloud

Develop locally on MX10 and seamlessly migrate containers to enterprise DGX cloud or on-prem server clusters.

Agentic AI

Power Agentic AI Locally Without Perpetual Token Costs

Run autonomous AI agents (OpenClaw, LangGraph, AutoGen) 24/7 with zero API fees and complete on-premises data sovereignty.

mx10-node-01 ~ local-agent

$ 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)

Enterprise-Grade Stability & Privacy

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.

  • ● 24/7 Continuous AI Execution
  • ● Zero Third-Party API Dependency
  • ● 100% On-Premises Data Sovereignty
Thermal Exploded View
Thermal

Precision-Crafted for Ultimate Thermal Efficiency

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.

Scalable

Sustained Performance Under Heavy Cluster Workloads

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.

Stacked MX10 Units
Connectivity

Pro-Grade I/O Ports

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2
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5
01 — Security
Kensington Lock Slot
Physical anti-theft security slot for lab and office deployments.
02 — USB-C & Power
4x USB4 Type-C + PD In
Up to 40Gbps data transfer with DisplayPort 2.1 alt-mode & 240W power delivery.
03 — 10GbE LAN
10GBASE-T RJ-45 Port
High-speed local area network connectivity for fast NAS & workstation access.
04 — Display
HDMI 2.1b Output
Supports up to 8K@60Hz or 4K@120Hz multi-monitor developer setups.
05 — 200G Cluster
Dual NVIDIA ConnectX-7 QSFP
Link two MX10 units directly for 400Gbps low-latency GPU-to-GPU clustering.
Application

Local Development, Scalable Deployment

Prototyping

Prototyping

Rapidly iterate on RAG pipelines and agentic prompts using local Jupyter notebooks and Ollama.

Fine-Tuning / Inference

Fine-Tuning / Inference

Keep proprietary datasets in-house while performing LoRA fine-tuning on 70B+ foundation models.

Data Science

Data Science

Accelerate dataframe processing and graph analytics with the unified 128GB CPU-GPU memory pool.

iceBook Virtual Lab

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.

Virtual Lab Studio

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*Specifications and product images are subject to change.

FAQ

AI applications often require massive memory bandwidth. With the Grace Blackwell Superchip supporting 128GB of unified LPDDR5x memory via NVLink-C2C, the Vertex MX10 delivers up to 546 GB/s of coherent bandwidth—enabling faster training, real-time inference, and seamless support for 200B+ parameter LLMs.