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JD Cloud Developers

JD Cloud Developers (Developer of JD Technology) is a JD Technology Group platform offering technical sharing and communication for AI, cloud computing, IoT and related developers. It publishes JD product technical information, industry content, and tech event news. Embrace technology and partner with developers to envision the future.

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Latest from JD Cloud Developers

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JD Cloud Developers

Jun 25, 2026 · Artificial Intelligence

JD Donates Oxygen xLLM: Open‑Source Large‑Model Inference Engine Boosts China’s AI Infrastructure

JD announced the donation of its Oxygen xLLM inference engine to the OpenAtom Open‑Source Foundation, detailing its service‑engine decoupled architecture, performance breakthroughs across e‑commerce, power and public‑safety workloads, and a roadmap to expand the open‑source AI ecosystem.

AI infrastructureEngineering IntelligenceHeterogeneous Computing

0 likes · 8 min read

JD Donates Oxygen xLLM: Open‑Source Large‑Model Inference Engine Boosts China’s AI Infrastructure

JD Cloud Developers

Jun 23, 2026 · Artificial Intelligence

From Q&A to Real‑Time Seeing & Speaking: JD’s First Open‑Source JoyAI‑VL‑Interaction

JD’s open‑source JoyAI‑VL‑Interaction transforms large‑model AI from static question‑answering to continuous, on‑scene observation, proactive judgment, and real‑time response, offering agent delegation and achieving up to 87.9% win rate against leading video assistants in live benchmarks.

Open Sourceai-assistantbenchmark

0 likes · 9 min read

From Q&A to Real‑Time Seeing & Speaking: JD’s First Open‑Source JoyAI‑VL‑Interaction

JD Cloud Developers

Jun 12, 2026 · Artificial Intelligence

Boosting E‑commerce Video Production with a Single‑Image‑Driven Workflow: A Robot‑Dog Case Study

By leveraging Lingjing’s Infinite Canvas and AI models, the author demonstrates how a single finalized scene image can generate 70‑80% of a product video’s shots, maintain visual consistency, and cut production time by about 40%, using a robot‑dog e‑commerce video as a concrete example.

AI Video GenerationE-commerce videoLingjing

0 likes · 8 min read

Boosting E‑commerce Video Production with a Single‑Image‑Driven Workflow: A Robot‑Dog Case Study

JD Cloud Developers

Jun 11, 2026 · Artificial Intelligence

How JD’s Open‑Source JoyAI‑Echo Tackles the Three Big Challenges of Long‑Form Video Generation

JD’s newly open‑source JoyAI‑Echo framework addresses long‑video generation’s three major pain points—character inconsistency, unstable speaker timbre, and slow rendering—through a cross‑modal memory bank, memory‑driven training, a conversational Director Agent, and real‑time super‑resolution, delivering up to 7.5× speed gains and superior benchmark results.

AI videoJoyAI-Echobenchmark

0 likes · 6 min read

How JD’s Open‑Source JoyAI‑Echo Tackles the Three Big Challenges of Long‑Form Video Generation

JD Cloud Developers

May 26, 2026 · Artificial Intelligence

AI‑Powered Oxygen Vision Slashes Cross‑Border E‑Commerce Image Production Cost and Time

The article details how JD’s Oxygen Vision uses AI to automatically generate compliant, localized product image sets for multiple overseas platforms, reducing SKU‑level creation time from days to minutes, cutting costs by up to 90%, and addressing challenges of multi‑language, cultural, and regulatory adaptation.

AI image generationAutomationcost reduction

0 likes · 15 min read

AI‑Powered Oxygen Vision Slashes Cross‑Border E‑Commerce Image Production Cost and Time

JD Cloud Developers

Apr 14, 2026 · Mobile Development

How Taro’s Custom iOS Rendering Layer Achieves High‑Performance Cross‑Platform UI

This article details Taro’s self‑developed iOS rendering layer and TaroUI framework, explaining how a double‑thread pipeline, native‑view‑plus‑layer architecture, rich‑text engine, and extensive rendering optimizations deliver high performance, stability, and cross‑platform consistency for mobile applications.

TaROUI frameworkcross‑platform

0 likes · 19 min read

How Taro’s Custom iOS Rendering Layer Achieves High‑Performance Cross‑Platform UI

JD Cloud Developers

Apr 8, 2026 · Artificial Intelligence

How JoyAI-Image-Edit Brings Spatial Intelligence to Open‑Source Image Editing

JoyAI-Image-Edit, an open‑source multimodal foundation model from JD Research Institute, integrates text‑to‑image generation, image understanding, and instruction‑driven spatial editing, achieving world‑leading spatial perception and editing capabilities that unlock new applications across e‑commerce, robotics, 3D reconstruction, and design.

Open-source modelcomputer visiongenerative models

0 likes · 7 min read

How JoyAI-Image-Edit Brings Spatial Intelligence to Open‑Source Image Editing

JD Cloud Developers

Mar 23, 2026 · Artificial Intelligence

OpenClaw Deep Dive: Turning LLMs into Actionable AI Agents

This article provides a comprehensive technical analysis of OpenClaw, an open‑source autonomous‑agent framework that integrates large language models with local system operations through a four‑layer architecture, detailed message‑processing steps, ReAct reasoning loops, security mechanisms, performance optimizations, and real‑world application scenarios.

AI AgentsAutonomous AgentsLLM integration

0 likes · 13 min read

OpenClaw Deep Dive: Turning LLMs into Actionable AI Agents

JD Cloud Developers

Mar 17, 2026 · Backend Development

How to Build a MyBatis Plugin to Throttle Burst SQL Traffic and Protect Your Database

This article explores the challenges of sudden traffic spikes that overload applications and databases, and presents a step‑by‑step design, implementation, and optimization of a MyBatis plugin that intercepts SQL, applies fingerprint‑based rate limiting, and integrates with Joycode for rapid development and testing.

Database protectionJavaMyBatis

0 likes · 10 min read

How to Build a MyBatis Plugin to Throttle Burst SQL Traffic and Protect Your Database

JD Cloud Developers

Mar 16, 2026 · Operations

Why Traditional Monitoring Fails for AI Supercomputing and How to Build Next‑Gen Intelligent Monitoring

In the era of hundred‑thousand‑GPU clusters and trillion‑parameter models, conventional monitoring can no longer rely on simple alerts; it must become an observability system that quantifies training and inference performance, breaks data silos across data centers, servers, and networks, and provides business‑aware insights for AI infrastructure.

AI infrastructurelarge-models

0 likes · 10 min read

Why Traditional Monitoring Fails for AI Supercomputing and How to Build Next‑Gen Intelligent Monitoring