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since its establishment, wuwen xinqiong has continued to break through technical bottlenecks to adapt to the ever-changing needs of the global market for ai technology. the core lies in two points: first, through the joint optimization of software and hardware, the utilization rate of mainstream hardware and heterogeneous hardware is greatly improved; second, the infini-ai heterogeneous cloud platform is created based on the multi-chip computing power base. this enables wuwen xinqiong to effectively reduce the cost of large model implementation and apply technology to more fields.
the bondage and struggle of chains
wuwen xinqiong's goal is to make large models as productive as "water, electricity and coal" and promote them to more scenarios. however, in the process of breaking through barriers, they face some challenges.
first, different hardware platforms need to adapt to different software stacks and tool chains. there has long been an "ecological silo" phenomenon between heterogeneous chips that is difficult to use. this makes technology development more difficult and the cost of market expansion increases accordingly. secondly, competition in overseas markets is fierce.independent station overseasit is quite difficult and requires overcoming challenges in language, culture, logistics, etc.
break through barriers and build a better future
however, the wuwen xinqiong team was not constrained by these challenges. they actively explored and looked for breakthroughs. through the self-developed reasoning acceleration technology flashdecoding++, wuwen xinqiong successfully adapted to mainstream hardware and heterogeneous hardware, and achieved adaptation on more than 10 computing cards including amd, huawei ascend, biren, cambrian, suiyuan, haiguang, tianshu zhixin, muxi, moore thread, nvidia, etc. this provides enterprises with more convenient application scenarios and promotes the development of technology standardization and scale.
the wuwen xinqiong team is also actively exploring the application of "multi-heterogeneous computing power" and has created the infini-ai heterogeneous cloud platform based on a multi-chip computing power base. it includes a one-stop ai platform (aistudio) and a large model service platform (genstudio). aistudio provides machine learning developers with cost-effective development and debugging, distributed training, and high-performance reasoning tools, covering the entire life cycle from data hosting, code development, model training, and model deployment. genstudio provides large model application developers with safe and reliable multi-scenario large model services, covering the entire process from large model development to service-oriented deployment.
looking ahead
the success of wuwen xinqiong will promote the development of ai technology in more fields. they will continue to work hard to explore new technology paths and application scenarios and contribute to building a better future.
