Artificial Intelligence Developers

Huawei announces $1.5 billion investment in the next 5 years

Source: Huawei. Huawei Developer Program 2.0 is announced

Huawei has announced an investment of $1.5 billion in the next 5 years as part of its Developer Program 2.0 during its HUAWEI CONNECT 2019 conference. The company will partner with enterprises and individual developers to build the ecosystem of the computing industry.

Huawei initially launched the Huawei Developer Program 1.0 in 2015. Since then, the company has released open communications products, cloud services, Ascend AI computing, and Kunpeng computing capabilities and now boasts 21 OpenLabs, developer communities, developer contests, and talent certification.

Huawei currently has 1.3 million registered individual developers and works with over 14,000 enterprise developers to innovate products and solutions to create value for customers.

Mr. Patrick Zhang, CTO of Huawei Cloud & AI Products & Services, explained the five focuses of Huawei Developer Program 2.0 in the next five years:

  • Building an open computing industry ecosystem based on Kunpeng + Ascend computing processors
  • Establishing an all-round enablement system
  • Promoting the development of industry standards, specifications, demonstration sites, and technical certification system
  • Building industry-specific application ecosystems and region-specific industry ecosystems
  • Sharing Kunpeng and Ascend computing power, making it available to every developer

Using the principles of Lab as Service, End-to-End, Agile, Dedicated, and Social (LEADS), Huawei Developer Program 2.0 will aim to continue to optimize processes, communities, and resources in the four stages of development: awareness, learning, building and go-to-market. The company will provide E2E support such as providing Kunpeng sample code, Ascend training cards, cloud service vouchers, OpenLabs, training and certification, and developer contests.

Huawei has set up the learning development fund (LDF), product development fund (PDF), and marketing development fund (MDF) for the learning, building, and go-to-market stages respectively.

Mr. Seaway Zhang, President of Huawei TaiShan & Atlas Domain, shared his thoughts on the Kunpeng ecosystem. “Its development is accelerating. In the past nine months, our work with partners has migrated over 3,000 popular applications to the Kunpeng ecosystem. Kunpeng infuses unrivaled efficiency into every line of code.”

Kunpeng helps accelerate digital transformation for every industry with device-edge-cloud homogeneity breaking boundaries between data centers, edges, and devices with a unified computing platform for developers. Kunpeng’s multi-core and high-concurrency computing is designed for big data, distributed storage, and database scenarios. Kunpeng + Ascend collaboration is expandable to AI computing for technologies such as 5G, AI, and self-driving.

The Huawei Kunpeng Developer Kit comprises a compiler collection and three tools. Dependency Advisor and Porting Advisor automate application migration across computing platforms, accelerating migration and optimizing code. Huawei’s Tuning Kit visualizes performance and optimizes parameters for five times more development efficiency. Developers can obtain related tools and knowledge bases from the one-stop Kunpeng Developer Community. In addition, HUAWEI CLOUD DevCloud integrates the Kunpeng Developer Kit to make software development tools available online.

Mr. Jack Jia, General Manager of the EI Product Department of Huawei’s Cloud BU, announced ModelArts 2.0 as an upgrade to the inclusive AI development platform. The automated tool improves data preparation and model training and deployment. ModelArts 2.0 lowers the threshold for AI beginners to quickly master and use AI skills. It also caters to algorithm engineers and data scientists, increasing their efficiency so they can focus on the research and innovation of basic core algorithms.

Huawei also announced the publication of its first professional reference in its AI book series Ascend AI Processor Architecture and Programming: Principles and Applications of CANN.