AIBOX-K3 SpacemiT K3 RISC-V AI Mini PC

$509.00

$509.00 $439.00

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SpacemiT K3 octa-core RISC-V mini PC with 60 TOPS AI and dual Gigabit Ethernet for local models and edge inference.

AIBOX-K3 AI Computers

Powered by SpacemiT Key Stone K3 chip with RISC‑V homogeneous fusion architecture. Integrates a self-developed 8-core general-purpose big core X100 and an 8-core parallel AI core A100, delivering 130K DMIPS of general-purpose computing power and 60 TOPS of AI computing power. It can run large models with up to 30 billion parameters and supports rapid deployment of all types of AI algorithms and models. K3 natively supports Linux 7.0 mainline kernel and RISC‑V hardware virtualization, features an M/S/U three-level privilege architecture.

60 TOPS AI Computing Power

60 TOPS AI computing power, supporting data types such as BF16, FP16, FP8, INT8, and INT4, enabling smooth operation of 30B large models with a model performance of >10 Tokens/S@30B. It supports the deployment of all AI algorithms and models, and follows the CPU programming paradigm to enable zero-cost AI algorithm deployment.

Supports Running 30B Large Models

60 TOPS AI computing power with full support for the RVV vector instruction set, native FP8 inference, and multimodal algorithm acceleration. Capable of running 30B large language models and Mixture of Experts (MoE) models, with measured performance exceeding 10 Tokens/S@30B.

Native Linux Mainline Kernel

As the world's first K3 chip compliant with the RVA23 Profile, platform natively supports Linux mainline kernel (v7.0-rc1) and officially supports mainstream operating systems such as Ubuntu 26.04. Its ecosystem compatibility, system stability, and long-term maintainability fully meet the standards of mainstream computing platforms.

Application Scenarios

Widely applicable in industry fields such as edge computing, computing power services, data security, AI education, private deployment of large models, and self-service terminals.

Edge Computing

Computing Power Services

Data Security

AI Education

Large Model Localization

Self-Service Terminals

Interfaces

Specifications

AIBOX-K3
Basic Specifications	SOC	SpacemiT Key Stone K3
	CPU	8-core X100 64-bit RISC-V AI Processor, max main frequency 2.4GHz, 130KDMIPS general computing power, full RVA23 Profile support, single- core Specint2006>9.0/GHz, equivalent to ARM-A76
	GPU	Integrated 3D graphics engine, supporting Vulkan 1.3, OpenCL 3.0, OpenGL ES 1.1/3.2, EGL 1.5
	AI performance	8-core A100 delivers 60TOPS AI computing power (SquareINT4), supporting BF16, FP16, FP8, INT8, INT4 and other data formats. Equipped with RVV vector instruction set, native FP8 inference and multi-modal algorithm acceleration, it supports 30B local models, with inference performance exceeding 10Tokens/S@30B, and adapts to various AI algorithms and model deployment.
	Codec	Video decoding: 4K@180fps H.264/VP9/VP8, 4K@120fps VC-1/MPEG4/MPEG2/H.263 Video encoding: 4K@90fps H.264/VP9/VP8
	RAM	8GB/16GB/32GB LPDDR5
	Storage	128GB/256GB/512GB UFS2.2
	Storage expansion	1 × M.2 (PCIe3.0x4 lane, support for 2242/2280 specification PCIe NVMe SSD; located inside the computer)
	OS	Ubuntu 26.04, Buildroot Linux with QT GUI, Fedora, Bianbu OS, Deepin, OpenKylin, OpenHarmony 6.1, OpenEuler
	Power	DC 12V/5A (5.5 × 2.1mm, supporting 9V~20V wide voltage input)
	Dimension	93.4mm × 93.4mm × 50.0mm
	Weight	≈ 500g
	Environment	Operating Temperature: -20℃～60℃, Storage Temperature: -20℃～70℃, Operating Humidity: 10%～90%RH (No condensation)
Interface Specifications	Ethernet	2 × Gigabit Ethernet (1000Mbps/RJ45)
	Console	1 × Console (Debug serial)
	Video output	1 × HDMI2.0 (Up to 4K@60Hz)
	USB	2 × USB3.0 (Max: 1A), 1 × USB3.0 DRD (Type-C, includes USB2.0 OTG)
	Button	1 × Power, 1 × Boot