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This article details Baidu Cloud's BTS semi‑structured storage system, covering its three‑generation evolution, three‑layer architecture, performance optimizations, high‑availability mechanisms, and real‑world use cases such as autonomous driving and large‑scale system monitoring.
This article examines the rapid growth of China's database market, the technical hurdles of moving databases to public cloud—including engine selection, lengthy migration processes, efficiency, disaster recovery, and data consistency—and explains how Baidu Intelligent Cloud's DTS platform offers a smooth, reliable, high‑availability, and high‑performance one‑stop solution with real‑world use cases.
This article examines the challenges of legacy mainframe‑based banking core systems, explains why banks are shifting to general‑purpose servers, outlines the distributed architecture and database requirements, and showcases GaiaDB‑X’s multi‑layer design and real‑world financial deployments.
GaiaDB, Baidu’s cloud‑native database, combines compute‑storage separation with a fused, log‑service architecture to boost performance, simplify consistency, and deliver multi‑level high availability across zones and regions, while supporting new features such as parallel query, HTAP replicas, and serverless scaling.
This article reviews the evolution from MLOps to LMOps, outlines the fundamentals, challenges, and key technologies of large‑model operations—including inference optimization, prompt engineering, and context‑length extension—and presents Baidu AI Cloud's platform solutions and future outlook.
This article explains the principles of vector databases, outlines the engineering practices of Baidu Intelligent Cloud BES for large‑scale vector retrieval, discusses optimization techniques such as HNSW, IVF and filter integration, and presents real‑world AI use cases and future development directions.
The talk explores how the rise of large AI models is transforming cloud computing architecture, workloads, and services—shifting from traditional virtualization to heterogeneous compute, massive scaling, serverless infrastructures, and new networking designs that together enable agile AI‑native applications.
The article summarizes a Baidu Cloud Intelligence conference speech and whitepaper, explaining how AI foundations and large‑model infrastructure reshape applications, boost enterprise digital transformation, and drive regional economic development, offering a roadmap for high‑quality digital economy advancement.
This article summarizes Baidu’s senior manager Xu Peng’s presentation on the evolution from R&D‑focused to production‑ready autonomous driving toolchains, highlighting cloud simulation, data‑closed‑loop, AI‑driven labeling, compliance, efficiency, service, and cost challenges, and outlining Baidu’s integrated solutions for the automotive industry.
At the 2023 Baidu Cloud Intelligence Conference, Baidu AI Cloud outlined a comprehensive, four‑layer solution—spanning distributed cloud infrastructure, AI‑focused compute, data compliance, and end‑to‑end toolchains—to address the challenges of electric, intelligent vehicles, large‑model deployment, and regulatory compliance in autonomous driving.
