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 tutorial walks developers through installing Ollama on a Huawei cloud VM, deploying the DeepSeek large language model, integrating it with the ChatBox web UI, and finally connecting the model to CodeArts IDE via the Continue plugin for seamless AI‑assisted coding.
This article analyses DeepSeek's V3 and R1 models, explaining how their innovative MoE architecture, Multi‑Head Latent Attention, low‑cost training strategies, and distributed‑training optimizations deliver high‑performance large language models while reducing GPU/NPU demand and sparking industry excitement.
This guide walks developers through obtaining the DeepSeek‑V3 model on the Ascend community, converting weights for GPU and NPU, loading the appropriate MindIE Docker image, launching the container, and configuring service‑level parameters to achieve efficient, out‑of‑the‑box AI inference on Ascend hardware.
From January 16‑18, Huawei Cloud hosted a three‑day AI large‑model teacher training at Henan Information Statistics Vocational College, gathering over 40 educators from 18 schools; the program covered model fundamentals, prompt engineering, and industry‑education integration, boosting teachers’ AI expertise and fostering future AI talent development.
This article walks through adapting the open‑source fake2db tool to work with Huawei's GaussDB, covering environment setup, driver installation, code changes, testing, and exposing the generated data via a Django‑based RESTful API.
A team of Wuhan Engineering University students leveraged computer‑vision algorithms, Huawei’s MindSpore AI framework, and cloud resources to create an intelligent cane and guide glasses that provide navigation, obstacle avoidance, and emergency alerts for the visually impaired, winning the 2024 Huawei Developer Competition.
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.
