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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
LLM❌Not suitable for large models

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