PAASUP DIP demonstrates a high-density platform on a single air-gapped DGX SPARK node, integrating batch, real-time, and LLM RAG via SaaS-style management and RKE2/Rancher orchestration.

This is a guide for building Lakehouse governance based on Apache Iceberg using Lakekeeper. It provides step-by-step coverage of fine-grained permission management with OpenFGA, role-based access control (RBAC) implementation, and real-world examples through integration with Spark and StarRocks

A case study on building a monitoring system that collects API Gateway logs in real-time using Kafka-based streaming architecture, stores them in StarRocks, and visualizes them with Apache Superset. This achieves improved service stability and reduced incident response time.

PAASUP DIP v1.0 is now recognized as a pilot purchase product for public institutions until June 2028. The platform delivers a public-cloud-level, modern Big Data platform and intelligent services in SaaS, specifically tailored for the internal network environment of public sector organizations.

Unlock your NVIDIA DGX Spark's full potential. Build a Private AI Cloud using NVIDIA Sync, Tailscale, and Docker scripts to deploy Ollama, ComfyUI, and TensorRT-LLM with one click.

This case study demonstrates building a real-time CDC pipeline from PostgreSQL to StarRocks using Debezium and Kafka, achieving 4,000+ rows/sec replication. With StarRocks' MPP architecture, we significantly improved analytical query performance and implemented a scalable data pipeline.

DuckDB is an embedded analytical database designed as SQLite's analytics counterpart. It enables fast analysis of large datasets locally without server setup and directly queries CSV, Parquet, and JSON files. This guide covers DuckDB's architecture, installation, and practical SQL examples.

PAASUP Stands Shoulder-to-Shoulder with Leading AI Companies, Recognized for Private AI Innovation Technology

This article introduces how to extend your Jupyter Notebook environment into a generative AI playground using Jupyter AI. From installation methods to chat interface usage, key slash (/) commands, and %%ai magic commands, we cover the essential features step by step.