With the development of artificial intelligence technology, higher requirements have been put forward for the engineering technology of artificial intelligence implementation, and the rapid deployment and optimization of algorithms and models are of great significance to promote the development and application of artificial intelligence technology. The pain point faced by enterprises when using AI capabilities lies precisely in the complexity of the overall process of AI algorithm construction, and the emergence of algorithms in an endless stream. The production and use process of AI models is not automated, and developers spend most of their time on environment deployment, data processing, version maintenance, system operation and maintenance, etc., and even need special personnel to develop and maintain them, resulting in high costs and long cycles for AI applications. At the same time, the training and inference processes are separated from each other, resulting in insufficient model accuracy, which seriously hinders the wide application of artificial intelligence technology.
Recently, based on more than 20 years of professional customer service experience, Beyondsoft officially launched an AI computing platform for industry users who need to deploy AI privately, which has one-stop AI development capabilities from sample annotation, model deployment, model training, and model inference services, helping users quickly train and deploy models, manage full-cycle AI workflows, help lower the threshold for model development, and help R&D personnel quickly launch AI model services.
The core functions of the platform mainly include data sample library, algorithm library, model library, training platform and inference services, providing end-to-end one-stop AI development services for the whole AI life cycle. The platform provides abundant intelligent annotation capabilities, presets various artificial intelligence algorithms and mainstream open-source models widely used in the industry, drives hybrid heterogeneous computing resources, creates cloud-edge integrated training and pushing capabilities, and realizes an out-of-the-box AI tool chain.
The platform focuses on breakthroughs in key AI technologies such as heterogeneous computing resource management and scheduling, large-scale distributed parallel training, and automatic optimization of model parameters, and supports distributed multi-center computing cluster management, multi-task scheduling of hybrid heterogeneous computing resources, and cloud-edge-end full-scenario collaborative applications, greatly improving the efficiency of computing resources. It is fully integrated into the information and innovation ecosystem, and fully supports domestic mainstream chips and domestic computing frameworks; It also supports the hybrid scheduling of heterogeneous computing power; At the same time, the high-performance parallel computing framework for large-scale model training provided by the platform can significantly accelerate the communication performance of distributed training data, reduce the transmission delay of data communication, and significantly improve the efficiency of large-scale parallel distributed training on the premise of ensuring model performance.
According to the platform development team, the artificial intelligence computing platform is currently mainly for customers in finance, Internet, manufacturing and other industries, providing one-stop AI model development and inference service solutions covering data annotation, model development, model training, model deployment, and inference services, highlighting the characteristics of "visualized" operation, "automated" management and "zero" development, and supporting users to quickly launch AI applications. In vertical scenarios such as intelligent customer service, intelligent marketing, intelligent risk control and compliance, intelligent reporting, intelligent programmers, and intelligent operations, it can provide technical support for rapid model training and deployment, reducing the time and development cost of model launch. The platform will also continue to iteratively upgrade, enrich and improve more technical base functions, increase support for application scenarios, and prefabricate model data for more business fields such as finance and the Internet to better meet the needs of continuously developing artificial intelligence technology.
As a global information technology company, Beyondsoft has always paid attention to the development of innovative technologies, and is committed to the implementation of new technologies, and strives to explore the practical application value that new technologies bring to users. In the future, Beyondsoft will continue to be innovation-driven, focus on the industry, explore the scenario-based application of innovative technologies, strengthen the integration of technology and industry, and strive to make technology better empower the industry and empower a better future.