The Huawei Cloud Developer Alliance creates a tech sharing platform for developers and partners, gathering Huawei Cloud product knowledge, event updates, expert talks, and more. Together we continuously innovate to build the cloud foundation of an intelligent world.
This article walks developers through Huawei's open‑source developer program and provides a detailed, practical guide on adapting the Kubernetes External‑DNS project for Huawei Cloud, covering project analysis, code development, secure authentication, webhook deployment, and contribution submission.
This tutorial shows how to model nationwide train schedules as a graph, prepare CSV data, import it into Huawei Cloud GES, and write Cypher queries that discover faster, more flexible transfer routes than the official 12306 service, complete with Python code examples and visual results.
The inaugural Shanghai International Computational Biology Innovation Competition concluded with five finalist teams, awarding a GeminiMol team from ShanghaiTech University first prize for discovering highly active molecules validated by wet experiments, while the event showcased AI-driven drug discovery targeting the NMDA receptor, highlighted the city’s new computational biology action plan, and emphasized talent selection through competition.
This article explains why single‑machine resources are insufficient for training ever‑larger language models, introduces the fundamentals of distributed training systems, details various parallel strategies such as data, model, pipeline, and hybrid parallelism, and provides practical PyTorch code and memory‑optimization techniques to accelerate large‑scale model training.
This guide explains why fine‑tuning large language models is essential, demonstrates a practical example, and walks developers through selecting a model, uploading a dataset, launching fine‑tuning, deploying the customized model as an online inference service, and validating its performance on Huawei Cloud AI Gallery.
GaussDB for MySQL introduces a Limit‑Offset pushdown optimization that moves offset calculation to the InnoDB storage engine, eliminating unnecessary row transfers and index‑back‑table lookups, thereby dramatically reducing query latency for large offsets as demonstrated by TPC‑H benchmarks.
This article explains how the minimalist philosophy of containers leads to missing tools, discusses early ideas of host‑based debugging, and shows how Kubernetes introduced the kubectl debug command with temporary containers to run any missing binaries directly inside pods.
Huawei Cloud unveiled YuanRong, a general‑purpose serverless platform presented at ACM SIGCOMM 2024, which tackles core challenges of function coordination, cold‑start latency, external state handling, and backend integration, and demonstrates its impact through automotive IoV and ERP case studies while outlining future AI‑driven innovations.
From July 13‑14, 2024, nearly 180 teachers from 87 Chinese universities attended a Huawei‑hosted advanced training in Chengdu, where experts presented AI cloud services, Ascend C development, board‑level EDA tools, OpenHarmony app basics, and industry‑university collaboration strategies to boost computing education.
A research team from Beijing University of Science and Technology tackled the high energy consumption of aluminum electrolysis by developing an AI‑driven prediction model and a cloud‑edge monitoring platform on Huawei Cloud, achieving significant power savings and winning a national competition.
