AINEWS Search
Back IT之家 科技新闻
IT之家 科技新闻· · Original publication time

Amazon Bedrock adds Zhipu’s GLM-5.3, with AWS to share revenue based on usageMachine translation

Automatically verified and published · Generated and evidence-checked automatically; not reviewed by a human.

AI-assisted summary

Citing a report by 科创板日报, IT之家 says Amazon Bedrock has added Zhipu’s GLM-5.3 and AWS will share revenue with Zhipu based on model usage. The report also says Zhipu has recently established similar arrangements with several overseas cloud providers; its revenue for the first half of 2026 was 954 million yuan, with a net loss attributable to shareholders of 2.071 billion yuan.

Article · AI translation

IT Home reported on October 6 that, according to the Science and Technology Innovation Board Daily, Amazon Web Services (AWS) added Zhipu's GLM-5.3 to its large-model service platform Amazon Bedrock today. AWS will share revenue with Zhipu based on model usage.

The report said that, in addition to AWS, Zhipu has recently implemented revenue-sharing arrangements with several overseas cloud providers. Zhipu previously said it planned to use revenue sharing through overseas cloud platforms to create another commercial avenue with potential to scale.

In China, Zhipu has also signed similar revenue-sharing agreements with leading cloud providers including Alibaba Cloud's Bailian platform. Huawei Cloud has listed GLM-5.3 and reached an agreement in principle on similar cooperation, forming a revenue-sharing system spanning domestic and overseas markets.

Financial reports show that Zhipu's total operating revenue in the first half of 2026 was 954 million yuan, up 399.7% year on year; its net loss attributable to shareholders of the parent company was 2.071 billion yuan, narrowing by 12.1% year on year.

In September this year, Zhipu announced that it had completed approximately $5 billion in financing (IT Home note: approximately 33.572 billion yuan at the current exchange rate), including approximately $2 billion in share placements and approximately $3 billion in convertible bond issuance.

The financing will mainly be used to develop the next-generation GLM foundation model and a Fully Self Training system, as well as to deploy and upgrade large-scale training, production inference, computing resources, and related technical infrastructure.

Found an error? Send a correction