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TsingMicro Reconfigurable RPU

Vendor: TsingMicro

Category: ASIC Dedicated Accelerator

Architecture: Reconfigurable Computing (CGRA)

Introduction

TsingMicro, originating from Tsinghua University, focuses on reconfigurable dataflow AI chips (RPU), referred to as the "Transformers of the chip world." Core competitive advantages: high energy efficiency, high flexibility, and low cost. In 2025, it was the only new computing architecture vendor among China's top eight AI accelerator card shippers, with a valuation exceeding 200 billion RMB.

Specifications

ModelComputeMemoryInterfaceTDPProcess
TX51010 TOPS (INT8)External DDRPCIe / SoC3W22nm
TX2103 TOPS (INT8)External DDRSoC integration0.5W22nm

Official Website

Visit Official Website

Driver Downloads

Linux

OS Support

WindowsLinuxmacOSAndroid

Version History

VersionRelease DateDescription
SDK 2.02024Reconfigurable computing optimization

Performance Benchmarks

ModelTaskPerformance Metric
TX510Edge InferenceRISC-V CGRA acceleration
TX210Ultra-low-power InferenceEndpoint scenarios

Pricing

ModelReference PriceNotes
TX510Contact vendorChip-level (OEM-oriented)
TX210Contact vendorEndpoint solution

Quick Installation

Linux

# TsingMicro SDK from official source
# Supports RISC-V + CGRA programming

Code Examples

AI development for TsingMicro RPU is primarily through the TSM SDK, supporting CGRA reconfigurable programming. The ecosystem is currently new with limited public documentation.

Architecture Highlights

  • CGRA (Coarse-Grained Reconfigurable Architecture): Coarse-grained reconfigurable architecture, flexibly adapting to different AI algorithms
  • RISC-V Foundation: Based on RISC-V processor core + CGRA acceleration units
  • Endpoint Positioning: Low-power edge AI inference scenarios

Model Compatibility

Model/FrameworkSupportNotes
Endpoint Models⚠️TSM SDK support
Speech/NLP⚠️Scenario-optimized
LLMNot suitable for large models

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