Rockchip · AI & Linux Hub

Article library

Includes platform references; association does not mean hardware validation. Check each article’s SoC, BSP and interface requirements.

555 articles · Page 1

Practical guideHands-on

Sige7 and LM7: six RK3588 application paths from prototype to product

Sige7 and LM7: six RK3588 application paths from prototype to product. Specifications, integration guidance and illustrated application ideas.

AIM7Sige7LM7
Read guide →
Practical guideHands-on

Sige5 / Sige7 with Armbian: six Linux projects worth building

Plan desktop, container, storage, automation and edge-vision projects on Sige5 or Sige7 with a clear validation path.

Sige5Sige7
Read guide →
Practical guideHands-on

What can Sige5 do? Six RK3576 edge computing applications

What can Sige5 do? Six RK3576 edge computing applications. Specifications, product documentation and integration conditions, with illustrations and further reading.

CM5Sige5
Read guide →
Practical guideHands-on

RK3572: 8nm, eight cores and 4 TOPS AI — ArmSoM plans a Zero-form-factor board

Rockchip RK3572 specifications and ArmSoM’s planned Raspberry Pi Zero-form-factor product, with clear limits on power figures and board compatibility.

Read guide →
Practical guideHands-on

Rockchip prototype to production: process requirements and test records

Compare RK3576 and RK3588 process references for reflow, stencils, storage ambiguities and production tests, separating bare-chip assembly from ArmSoM module integration.

CM5CM7sAIM7LM7Sige7
Read guide →
Practical guideHands-on

Rockchip October 2026 patch brief: MPP security, RK3572 stability and Linux 6.1 updates

Six patch records covering MPP, DDR, USB, Flash, DVFS and kernel CVEs, with applicability checks and regression guidance for ArmSoM projects.

Read guide →
Practical guideHands-on

RKNN-Toolkit2 Python API V2.5.0 — Runtime, operator registration and inference

RKNN-Toolkit2 Python API V2.5.0 — Runtime, operator registration and inference | Complete parameters, examples and platform constraints

Read guide →
Practical guideHands-on

RKNN-Toolkit2 Python API V2.5.0 — Requirements and object lifecycle

RKNN-Toolkit2 Python API V2.5.0 — Requirements and object lifecycle | Complete parameters, examples and platform constraints

Read guide →
Practical guideHands-on

RKNN-Toolkit2 Python API V2.5.0 — Loading Caffe, TensorFlow, ONNX and PyTorch

RKNN-Toolkit2 Python API V2.5.0 — Loading Caffe, TensorFlow, ONNX and PyTorch | Complete parameters, examples and platform constraints

Read guide →