PPIO (https://pp.io) primarily focuses on distributed cloud computing, mainly building, leasing and recruiting edge nodes(such as small IDC data centers, city edge networks, intelligent computing nodes). These nodes are equipped with computing services, and then these resources are integrated to provide cloud computing IaaS (such as containers, virtual machines, elastic services, Serverless etc) and some specific PaaS services (similar to API service development interfaces). Including audio and video transmission (CDN/RTC), cloud rendering and cloud gaming, as well as AI inference computing (we support hosting open-source LLM models, image generation, stylization, fixed themes, sound generation, and video generation). Our core value proposition is high cost-effectiveness, low latency, high reliability, and timely service.Our core technical competencies are centered around three main areas:1. Highly Reliable Cross-National Network Transmission Technology: This ensures low latency (less than 250ms between China and the USA), minimal jitter, and high bandwidth for international network communications.2. Cloud-Native Serverless Technology for GPU Resources in AIGC: This supports maintenance-free operations, distributed scheduling over wide-area networks, rapid model loading, and sub-second startup speeds.3. AI Technologies for Inference Acceleration, Optimization, and Model Compression: The primary goal is to reduce latency and enhance throughput. Key techniques include operator fusion, graph optimization, quantization, pruning, sparsity optimization, and speculative sampling.PPIO not only serves domestic Chinese enterprises but also targets Chinese companies going global, offering services worldwide.

After the success of PPTV startup, I have been pursuing new technology and geek spirit, so I did not choose video and P2P fields again but devoted myself to intelligent hardware and artificial intelligence. In 2014, I founded JDO with Cloud Wong, a company which makes a car that uses AI technology and connected to the Internet. In the past four years, I have served as CTO in JDO, and have accumulated in-depth technical experience in intelligent hardware, embedded software, artificial intelligence, and machine learning.JDO is doing very well in the automotive field, they have received orders from many internationally renowned car manufacturers.

In 2004, when I was still in college, suddenly one day, Bill approached me and we started PPLive together. PPLive soon became very popular in China. PPLive was later rebranded as PPTV. Bill is the Founder and CEO of PPTV and I am the Chief Architect of PPTV and began to focus on P2P transmission technology.In the beginning, I led the team to build an live broadcast platform with P2P. Because the characteristics of live broadcast are that many people will share the same data, this way we can achieve a bandwidth saving ratio of more than 99.9% when we watch the most popular content at the same time. We achieved excellent QoS(Quality of Service): the average time to start playing is 1.2 seconds; the average count of interruption is 1.6 seconds per half an hour; the whole network latest delays from broadcast source is up to 90 seconds.After the P2P live broadcast is completed and became sophisticated, we began to develop P2P VOD because the demand for VOD was getting bigger and bigger. Besides, it is the difference between popular content and unpopular content in the VOD system, and the P2P effect of unpopular content is not as good as the popular content. However, our P2P VOD has achieved excellent QoS too: 90% bandwidth saving ratio; the average time to start playing is 1.5 seconds; the average count of interruption is 2.2 seconds per half an hour; the average time to play when seek position is 0.9 second.Subsequently, I led the team to port the P2P kernel to the embedded system. We streamlined the P2P transmission protocol and made a number of optimizations in terms of performance. The hard disk in embedded device read and write is not used for regular mechanical hard disk, so we have done a good amount of protection measures, which enable the P2P core to run on embedded devices. Then we quickly launched an iOS client that supports P2P, an Android mobile phone client that supports P2P, and finally an Android set-top box client that supports P2P.