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Independent inference for every device.

Hefei Fanshi Semiconductor Technology Co., Ltd. builds edge LLM inference chips, inference IP and engineering validation platforms around compute-in-memory and near-memory compute, on a mature domestic 28 nm supply chain.

Fanshi lab bench
Fig. 1 · Evaluation board on the bench
Company
合肥燔石半导体科技有限公司
Location
Hefei, Anhui, China
Process and supply chain
Mature domestic SMIC 28 nm
Routes
MaskROM CIM · SRAM CIM · near-memory compute
Products
Forge · Trident · Argus
Inference IP
FS-Fusion · FS-Attention · FS-MoE · FS-Linear
Contact
info@fanshi-silicon.com

How we work with customers

  1. 01

    Choose the route

    Target model, performance and power goals, update cadence, interfaces. The first question is always: how often does the model change?

  2. 02

    FPGA evaluation

    Deploy the inference core on the evaluation board, run the model, measure accuracy and throughput: the first engineering sample.

  3. 03

    System design-in

    Interfaces, system software and field validation around the evaluation results, turning the sample into a product prototype.

  4. 04

    ASIC delivery

    Once the model is frozen: production ASIC, or the IP integrated into your own silicon.

Products

Edge ASICs for lightweight language models, heavy-load inference and multimodal vision.

Technology

MaskROM, SRAM CIM and near-memory compute: three routes for different update cadences.

How we work

Engineering samples, FPGA evaluation boards, IP licensing and design-in support.

Contact Fanshi Semiconductor

Business, IP licensing, samples and hiring: info@fanshi-silicon.com.

Email us