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.
At Huawei's 2025 Developer Conference in Dongguan, over 120 experts from academia and industry gathered for a roundtable on embodied AI, discussing challenges and breakthroughs in robotics, 3D scene generation, cloud‑edge collaboration, and the future of physical intelligence across sectors.
AI MCP (Model Context Protocol) is an open protocol that standardizes communication between large language model applications and external data sources or tools, offering pre‑installed services, fast registration, ecosystem openness, and automatic discovery within Huawei Cloud ModelArts Studio, while eliminating the need for per‑API integration code.
This article explores how Huawei Cloud's Pangu large‑model platform powers the TianShiLi Digital Herbal AI system, merging centuries‑old Chinese medicine knowledge with cutting‑edge AI to accelerate drug discovery, enable intelligent diagnosis, and transform the entire TCM research and development workflow.
This tutorial explains how to deploy the DeepSeek‑r1:1.5b model on a cloud server using Ollama, create a retrieval‑augmented generation (RAG) vector database with the mxbai‑embed‑large embedding model, and build an interactive AI application that answers questions from uploaded PDFs.
This tutorial walks you through using Huawei's MaaS platform to claim a 2‑million‑token free DeepSeek‑R1 API, integrate it with the open‑source Dify Agent platform, configure a knowledge base, customize the chatbot’s behavior, and embed the finished AI assistant into a website.
This tutorial walks you through configuring a Huawei Cloud host, installing the AutoGen framework, setting up DeepSeek V3 model API keys, and using the model to automatically generate Python code for a graphical two‑player battle game, complete with step‑by‑step instructions and sample commands.
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.
