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Huawei Cloud Developer Alliance

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.

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Latest from Huawei Cloud Developer Alliance

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Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Oct 13, 2026 · Artificial Intelligence

Freshmen Build Four AI Apps in Two Hours with Huawei AI Shell and openJiuwen

In a two-hour hackathon, freshman students with no prior project experience used Huawei's AI Shell, CodeArts, and openJiuwen to build four functional AI-powered applications—posture monitoring, fatigue detection, task management, and health reminders—demonstrating how pre-configured AI development tools lower entry barriers for beginners.

AI applicationsAI-assisted developmentCodeArts
0 likes · 6 min read
Freshmen Build Four AI Apps in Two Hours with Huawei AI Shell and openJiuwen
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Sep 8, 2026 · Artificial Intelligence

AReaL v1.0.5 LoRA RL: Low-Rank Adaptation for Accessible Large Model RL on Ascend

This article details AReaL-Ascend v1.0.5's LoRA RL capabilities, explaining how low-rank adaptation reduces memory overhead for large model reinforcement learning, describing two Megatron LoRA weight update modes (adapter sync vs. merge), and covering cross-node LoRA RL, MoE support, XCCL communication, and Qwen3.6-27B examples for practical deployment.

AReaLAscend NPULoRA
0 likes · 6 min read
AReaL v1.0.5 LoRA RL: Low-Rank Adaptation for Accessible Large Model RL on Ascend
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Sep 6, 2026 · Artificial Intelligence

AReaL v1.0.5: Colocated Training/Inference & Multi-Teacher On-Policy Distillation for Efficient RL

AReaL-Ascend v1.0.5 introduces two major innovations: colocated training and inference on shared NPUs via Ray scheduling and AWEX IPC zero-copy, and Multi-Teacher On-Policy Distillation (MOPD) that fuses domain expert models into a single student using token-level teacher signals, demonstrated on Qwen3.6-27B with GRPO.

AReaLAWEXAscend NPU
0 likes · 12 min read
AReaL v1.0.5: Colocated Training/Inference & Multi-Teacher On-Policy Distillation for Efficient RL
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Sep 4, 2026 · Operations

Agent + CLI + Skill: The Architecture Behind Huawei DWS AI Diagnostics

Huawei Cloud DWS introduces an AI diagnostic feature using a three-layer Agent-CLI-Skill architecture that automates the data warehouse troubleshooting loop—collection, analysis, root-cause reasoning, and reporting—turning expert DBA knowledge into reusable, pluggable skills that cut diagnosis time from hours to minutes.

AI diagnosticsAgent-CLI-Skill architectureDWS
0 likes · 10 min read
Agent + CLI + Skill: The Architecture Behind Huawei DWS AI Diagnostics
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Aug 24, 2026 · Artificial Intelligence

How Huawei Cloud AI Queue Redefines Multi-Agent Communication with Asynchronous Event‑Driven Architecture

The article analyzes the engineering challenges of large‑scale multi‑agent AI systems—such as connection loss, synchronous blocking, and traffic spikes—and explains how Huawei Cloud AI Queue, built on RocketMQ with Lite Topic, Session Log, and priority topics, provides an event‑driven, elastic, and observable communication backbone for stable, scalable agent collaboration.

AI QueueAgent CommunicationAsynchronous Messaging
0 likes · 16 min read
How Huawei Cloud AI Queue Redefines Multi-Agent Communication with Asynchronous Event‑Driven Architecture
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Aug 14, 2026 · Artificial Intelligence

How Huawei Cloud Optimizes the New Xiaohongshu Open‑Source Model dots3‑note Preview for Multimodal Inference

Huawei Cloud adapts and optimizes the 280B‑parameter dots3‑note preview model released by Xiaohongshu, detailing its mixed sparse attention, MoE enhancements, multimodal pre‑training pipelines, unified reward training, and a suite of inference‑time optimizations—including FlashComm, FUSED_MC2, and MTP speculative decoding—delivered via the vLLM Ascend framework for high‑throughput, low‑latency deployment.

Huawei CloudMTP Speculative DecodingMoE optimization
0 likes · 7 min read
How Huawei Cloud Optimizes the New Xiaohongshu Open‑Source Model dots3‑note Preview for Multimodal Inference
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Jul 10, 2026 · R&D Management

How Huawei Cloud CodeArts (Py4OH) Rebuilt OpenHarmony Python Development with Spec‑Driven AI Automation

The article details the challenges of the legacy Py4OH‑1.0 toolchain for OpenHarmony, explains how Huawei Cloud CodeArts (Py4OH) was used to completely refactor the project with spec‑driven development, AI‑assisted code generation, automated review, and secure, cross‑platform deployment, dramatically reducing code size and development friction.

AI automationPythonSpec-Driven Development
0 likes · 12 min read
How Huawei Cloud CodeArts (Py4OH) Rebuilt OpenHarmony Python Development with Spec‑Driven AI Automation
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Jun 26, 2026 · Artificial Intelligence

Introducing Vime-Ascend: An Open‑Source RL Framework with ModelArts Hands‑On Guide

This article presents Vime-Ascend, an open‑source reinforcement‑learning framework that merges slime's training design with vLLM's inference engine, details its three‑stage decoupled architecture, showcases NPU performance gains on Qwen3‑4B GRPO experiments, and provides step‑by‑step ModelArts deployment instructions.

AscendMegatron-LMModelArts
0 likes · 22 min read
Introducing Vime-Ascend: An Open‑Source RL Framework with ModelArts Hands‑On Guide