This guide walks you through deploying JD Cloud’s open‑source JoyAgent AI agent using the JoyAgent‑Genie image, covering host creation, firewall configuration, model and search engine setup, and service startup, enabling you to access the Genie interface via a public IP.
This article walks you through deploying JD Cloud’s open‑source JoyAgent AI agent, covering lightweight cloud host creation, opening firewall ports, configuring model and search engine settings, and finally starting the service to access the Genie interface via a public IP.
This guide explains how to privately deploy the DeepSeek large language model using a JD Cloud virtual computer, set up Ollama as the LLM service, run various model versions, and integrate local knowledge bases through CherryStudio, Page Assist, and AnythingLLM for offline and network‑enabled AI applications.
This guide walks you through the reasons for deploying a private DeepSeek large‑model, compares full and distilled versions, shows how to purchase a JD Cloud computer, install Ollama, run the model, and integrate a local knowledge base using CherryStudio, Page Assist, and Anything LLM.
This tutorial walks through installing acme.sh, configuring JD Cloud DNS API credentials, issuing and installing SSL certificates for Nginx (or Docker‑based Nginx), and setting up automatic 60‑day renewal, providing all necessary commands and configuration examples.
At KubeCon + CloudNativeCon 2024 in Hong Kong, JD Cloud presented its cross‑cluster, large‑scale application management practice, detailing a federated Serverless model that oversees over 10,000 nodes, improves resource utilization, simplifies multi‑cluster scheduling, and offers efficient elastic scaling solutions.
This article examines the critical CVE‑2024‑6387 OpenSSH Server 0‑day vulnerability, explains its exploitation mechanics, and outlines effective emergency response strategies, including JD Cloud’s security operations solutions, to help enterprises swiftly mitigate risks, manage attack surfaces, and strengthen overall information security posture.
This guide walks through installing the sd‑webui‑EasyPhoto plugin on JD Cloud’s AI compute platform, training a personal digital avatar, and using its features for face swapping, video generation, and prompt tweaking, showcasing practical AI art creation with Stable Diffusion.
This article introduces Meta's newly released LLaMA 3 models, highlights their performance improvements, and provides a detailed, hands‑on guide for provisioning a JD Cloud GPU instance, installing the llama‑factory code, and running the model through a Jupyter‑based web demo.
Meta’s newly released LLaMA 3 models (8B and 70B) boast record‑breaking performance, and this guide walks you through the community buzz, technical specs, and a detailed JD Cloud workflow—from provisioning a GPU instance to running the model in a Jupyter environment.
This tutorial walks you through installing GPU drivers, CUDA, Python, Anaconda, PyTorch, and the Stable Diffusion WebUI on a JD Cloud GPU instance, then shows how to add essential plugins like LoRA, ControlNet, Jupyter Notebook, and Kohya_ss for advanced AI art generation.
This article explains JD Cloud's visual design system, detailing the design thinking, core principles, color and texture usage, grid and size specifications, and the composition of 3D, 2.5D, and linear icons to create a consistent, technology‑focused brand image across multiple scenarios.
This article walks through setting up a Starwift cloud‑native data warehouse on JD Cloud, configuring network access, installing the ClickHouse client on macOS, and demonstrates both TCP and HTTP Rust integrations with example code, while noting common dependency conflicts.
This step‑by‑step guide explains how to keep your domain registration unchanged while moving DNS to JD Cloud, verify the migration, switch traffic to JD Cloud servers, and finally transfer the domain registration itself, ensuring a smooth transition without downtime.
This article introduces EasyFunction, JD's serverless FaaS platform built on iPaaS, detailing its background, applicable scenarios such as BFF, data processing, SSR and admin panels, the business benefits, core product features, and several real‑world deployment cases.
The article explains how JD Cloud’s federated learning platform enables secure, privacy‑preserving collaborative AI across isolated data sources by using encrypted distributed training, flexible model architectures, and a range of algorithms, while highlighting its architecture, security mechanisms, deployment speed, and real‑world industry successes.
In this presentation, JD Intelligent Cloud architect Ge Jibin walks through the technical architecture, deployment strategies, performance tuning, and real‑world use cases of the TiDB cloud database, providing a comprehensive slide deck for developers and engineers.
The interview with JD Smart Cloud’s Vice President Fu Qingming reveals how JD’s integrated cloud, AI, and IoT services are driving China’s new‑infrastructure digital transformation, outlining the company’s supply‑chain‑based tech strategy, data‑center expansion, and the importance of choosing the right partners for successful enterprise digitization.
This article explains how JD Intelligent Cloud’s bare metal cloud hosts delivered near‑physical performance, automated operations, and strong isolation to support the 11.11 shopping festival’s billions of visits and millions of concurrent requests, detailing architecture, performance gains, and integration with Kubernetes.
This article explains why monitoring is essential for operations, outlines the four‑layer monitoring standard (infrastructure, liveliness, performance, business), breaks down functional modules and data flows, and showcases JD Cloud's practical design, alarm‑convergence project, and future AI‑driven observability directions.
