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This article reviews the 70‑year evolution of databases, explains how vector databases and Retrieval‑Augmented Generation (RAG) are reshaping AI applications, and details Baidu Intelligent Cloud's VectorDB architecture, performance advantages, real‑world use cases, and future trends in data engineering.
The article summarizes Baidu Intelligent Cloud's three technical sessions at DTCC 2024, covering native vector database VDB, cloud‑native GaiaDB with cost‑effective query acceleration, and the high‑capacity KV store PegaDB, highlighting their architectures, performance gains, and practical deployment insights.
This article provides a comprehensive, engineer‑focused breakdown of transformer architecture—including tensor fundamentals, matrix multiplication, GPU theoretical compute, attention and FFN mechanics, quantitative parameter and FLOP analysis, performance metrics like MFU, parallelism strategies, variant optimizations, and practical exercise questions—offering clear insight into large‑model efficiency and scaling.
GaiaDB 4.0 introduces a zero‑ETL parallel query engine that leverages multi‑core CPUs to run OLTP and OLAP workloads on a single cluster, dramatically improving complex query performance while offering configurable parallelism and a rich set of parallel operators.
This article explains how Baidu Cloud evolved its physical network fault‑location workflow—from manual analysis and integrated multi‑signal algorithms to AI‑driven reasoning with large language models—highlighting structured prompting, multi‑agent collaboration, and measurable improvements in accuracy and automation.
This article examines the impact of GPU communication bottlenecks on large‑model training, analyzes hash‑collision issues in high‑performance networks, and presents three practical solutions—including increasing RDMA streams, affinity‑aware scheduling, and dynamic load balancing—to boost effective network bandwidth up to 95%.
This article presents a detailed technical overview of accelerating Spark's compute engine using ClickHouse as a native backend, covering Spark performance background, ClickHouse's advantages, the design and implementation of a Spark‑Native acceleration solution, and extensive performance evaluation results.
This article reviews the evolution of databases and large models, explains the role of vector databases and Retrieval‑Augmented Generation (RAG) in AI‑enhanced data management, and showcases Baidu Cloud's VectorDB and DBSC solutions for intelligent database operations and knowledge‑driven services.
This article walks through the complete workflow for creating an AI‑native conversational 24‑point game using Baidu Cloud Qianfan AppBuilder, covering methodology, component design, agent architecture, and implementation details with code examples and visual diagrams.
This article explains how to design, develop, preview, debug, and publish NPM component extension packages for the Baidu AI‑Speed platform, covering supported tech stacks, extension mechanisms, core modules, development tools, code conversion examples, and common deployment questions.
