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.

Discover how to integrate diverse data sources in real-time using StarRocks Materialized Views without complex ETL. This guide covers complete pipeline implementation from data loading to visualization, featuring StarRocks and Apache Iceberg scenarios for cost reduction and high performance.

This technical blog provides a hands-on guide for deploying StarRocks distributed analytics database on Kubernetes, covering both Shared-nothing and Shared-data architectures with Helm Charts, MinIO integration, and real-world performance testing to help choose the right deployment mode.

StarRocks is an analytical database with a simple FE/BE architecture offering two modes: Shared-nothing (local storage, high performance) and Shared-data (object storage, cost-efficient). It provides excellent MPP performance and seamless horizontal scaling without external dependencies.

This guide uses NVIDIA NeMo Curator to build high-quality datasets for LLMs. It's a hands-on walk-through of a text curation pipeline—from cleaning and deduplication to language labeling—for preparing large-scale data quickly and reliably.