We share the cloud tech topics you care about. Feel free to leave a message and tell us what you'd like to learn.
This guide walks you through quickly deploying Baidu's DeepSeek‑R1 model, accessing its WebUI, and enabling key enterprise extensions such as web search, file upload, OCR, and content moderation to integrate AI capabilities into production workflows.
This article explains the architecture of large‑model inference engines, key performance metrics like TTFT and TPOT, the limitations of popular engines such as vLLM, and Baidu Baige's AIAK solutions—including multi‑process, static slot, and asynchronous execution—that dramatically reduce token‑interval latency and increase GPU utilization.
The article examines the evolution of data lake storage acceleration, compares various solutions, and explains how metadata, read/write, and end‑to‑end optimizations enable scalable, cost‑effective AI and big‑data workloads in cloud‑native environments.
This article details Baidu’s unified storage architecture—covering its metadata, hierarchical namespace, and data layers—explaining how meta‑aware design, custom partitioning, flexible engines, and micro‑service based erasure coding together meet the scalability, performance, and cost demands of modern AI‑driven cloud storage workloads.
The talk outlines Baidu Smart Cloud's comprehensive cloud‑native redesign—including ultra‑elastic compute, AI‑focused storage, high‑performance networking, AI‑driven operations, and edge‑distributed services—illustrated with automotive and fintech case studies that demonstrate how enterprises can accelerate digital transformation in the AI‑native age.
Baidu's latest data lake acceleration 2.0 replaces HDFS with a scalable object‑storage foundation, introduces a hierarchical Namespace 2.0, a high‑throughput streaming engine, RapidFS caching, and a fully HDFS‑compatible BOS‑HDFS layer, delivering up to 70% higher throughput and dramatically lower costs for big data and AI pipelines.
At the 2024 Baidu Cloud Summit, the speaker detailed recent breakthroughs across Baidu’s cloud‑native database suite—including PegaDB KV, GaiaDB relational, VDB vector, and the integrated DBSC, EDAP, and DBStack platforms—highlighting performance, cost, scalability, and AI‑ready features that address enterprise data challenges.
The article details Baidu Baige 4.0’s four‑layer AI infrastructure—hardware, cluster components, training‑inference acceleration, and platform tools—highlighting its heterogeneous computing, high‑performance networking, fault‑tolerant communication library, and optimizations that boost large‑model training and inference efficiency.
This article explains the principles, configuration steps, monitoring metrics, leader selection, data migration granularity, compaction, invalid data cleanup, and cache mechanisms of cold‑hot data separation in Baidu Intelligent Cloud's Palo for Apache Doris, illustrating how tiered storage reduces costs while maintaining query performance.
AlphaFold 3, released by DeepMind in May 2024, dramatically speeds protein and biomolecule structure prediction, prompting predictions of a future Nobel Prize, while China’s HelixFold 3, the first domestic model matching AlphaFold 3’s performance, offers high‑accuracy, cloud‑based services for diverse molecular interactions and drug discovery.
