Hangzhou Xiaoshan Offers 20M Yuan Computing Subsidy, 50M Fund for OpenClaw AI Agents

Hangzhou Xiaoshan Offers 20M Yuan Computing Subsidy, 50M Fund for OpenClaw AI Agents

N
News Editor 01
2026-07-24 08:45:19
Hangzhou's Xiaoshan district unveils 10 measures backing OpenClaw and OPC-STC AI agent ecosystems, with up to 20M yuan computing subsidies and a 50M yuan dedicated fund.

On March 10, 2026, Hangzhou's Xiaoshan district released a ten-point plan to heavily subsidize the OpenClaw and OPC-STC AI agent ecosystems. The policy includes up to 20 million yuan in computing subsidies, token consumption rebates, and a 50 million yuan dedicated fund, signaling a strong push to capture the emerging AI track. Dubbed the "Ten Lobster-Breeding Measures," the package covers everything from infrastructure compute to startup financing.

Compute, Token & Data Procurement Subsidies

For the cost-sensitive base layer, OPC-STC enterprises renting computing power for OpenClaw-based AI agent development can receive a 50% "computing voucher" subsidy, capped at 20 million yuan per company per year. Token fees for invoking domestic multimodal large models in AIGC creation are subsidized at 30% (annual cap 100,000 yuan). Purchasing high-quality datasets from trusted data spaces also qualifies for a 30% rebate, up to 2 million yuan.

Office Space, Talent Grants & 50M Fund

The measures extend to ecosystem nurturing: qualifying firms can get up to 6 months free office space and 100 rooms for up to 3 months of free housing. Master's, doctoral and graduate students receive up to 150,000 yuan living subsidies plus 36,000 yuan in rental aid; top-tier talent can claim rental subsidies of 240,000 yuan over five years. A "competition-based evaluation" mechanism provides up to 4.5 million yuan per deep-OpenClaw startup project. Moreover, the district is activating its "Chaoqihang" angel guidance fund to establish a 50 million yuan special fund, precisely targeting the OpenClaw open-source AI agent sector and offering diversified financing channels.

This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan.
200

Disclaimer:

The market information, project data, and third-party content displayed on this platform are for industry information sharing only and do not constitute any form of investment advice or return commitment.

Cryptocurrency trading carries high risks. Users should fully assess their risk tolerance and make independent decisions. All profits, losses, and legal responsibilities are borne by the users themselves.