As a key industry in the country's digital economy, telecommunications operators play a crucial role in driving the development of artificial intelligence and the digital economy.Telecommunications operators possess three critical resources：networks, clouds, and data—that constitute the main arteries of the domestic digital economy.In various business scenarios, online and offline service processing closely related to daily life, as well as cloud-based data processing and scheduling, all require significant amounts of computing power.
StreamComputing has formed initial partnerships with leading domestic telecommunications operators, completing mutual product certification and testing of computer vision (CV), natural language processing (NLP) models, and large language model
. The next step will be to deepen cooperation with these top telecommunications operators, breaking through the boundaries of computing power in various application scenarios and providing powerful data processing and cloud-based inference capabilities.
We are committed to developing a domain specfic architecture processor (DSA Processor) based on the RISC-V instruction set for the field of artificial intelligence. Our independently developed NeuralScaleNPC core architecture is an extension of the RISC-V instruction set, aimed at the neural network field with a specific computing core. It has excellent energy efficiency and good programmability, which can meet the diverse needs of cloud-based artificial intelligence algorithms and applications.