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Baidu Geek Talk
Baidu Geek Talk
Jul 9, 2025 · Artificial Intelligence

PaddleOCR 3.1 Unveils Multilingual PP‑OCRv5, Document Translation, and MCP Server Integration

PaddleOCR 3.1 introduces three major upgrades—a multilingual PP‑OCRv5 model supporting 37 languages with over 30% accuracy gain, a PP‑DocTranslation pipeline for high‑quality multi‑language document translation, and MCP server support for flexible AI application integration—accompanied by detailed CLI usage, demo scenarios, and open‑source resources.

AIComputer VisionMCP
0 likes · 11 min read
PaddleOCR 3.1 Unveils Multilingual PP‑OCRv5, Document Translation, and MCP Server Integration
Baidu Geek Talk
Baidu Geek Talk
Jul 2, 2025 · Big Data

Baidu’s Secret to Faster Search Data: Wide‑Table Modeling & Fusion Engine

This article outlines Baidu’s innovative approach to building its search data platform, detailing the design of wide‑table models, the upgrade to a Spark‑based fusion computation engine, and the new Turing 3.0 service delivery framework, which together deliver higher efficiency, lower cost, and faster, more reliable analytics.

Big DataFusion EngineSearch Analytics
0 likes · 21 min read
Baidu’s Secret to Faster Search Data: Wide‑Table Modeling & Fusion Engine
Baidu Geek Talk
Baidu Geek Talk
Jun 30, 2025 · Big Data

How Baidu’s Turing 3.0 Leverages Apache Iceberg to Boost Data Lake Performance

This article explains how Baidu’s next‑generation data platform Turing 3.0 integrates Apache Iceberg to solve the inefficiencies of the legacy MEG stack, detailing ecosystem components, migration strategies from Hive, table‑level optimizations, and future roadmap for high‑frequency, low‑latency analytics.

Apache IcebergData LakeHive Migration
0 likes · 17 min read
How Baidu’s Turing 3.0 Leverages Apache Iceberg to Boost Data Lake Performance
Baidu Geek Talk
Baidu Geek Talk
Jun 18, 2025 · Artificial Intelligence

How Graph Algorithms Power Anti‑Fraud in Marketing and E‑Commerce

This article explores how black‑market cheating in marketing campaigns and e‑commerce is detected using graph‑based techniques such as same‑person mining, label propagation, Fraudar, and GCN models, and discusses future directions like multimodal data fusion and real‑time dynamic graph computation.

FraudarGCNGraph Algorithms
0 likes · 18 min read
How Graph Algorithms Power Anti‑Fraud in Marketing and E‑Commerce
Baidu Geek Talk
Baidu Geek Talk
Jun 9, 2025 · Databases

How BaikalDB Tackles OLAP Challenges with Vectorized and MPP Engines

BaikalDB, Baidu's distributed storage system, evolves from an OLTP‑focused engine to a hybrid HTAP architecture by introducing a vectorized query engine and a massively parallel processing (MPP) layer, addressing compute and resource bottlenecks for large‑scale analytical workloads while preserving transactional guarantees.

BaikalDBDatabase ArchitectureHTAP
0 likes · 18 min read
How BaikalDB Tackles OLAP Challenges with Vectorized and MPP Engines
Baidu Geek Talk
Baidu Geek Talk
May 21, 2025 · Backend Development

Applying Domain‑Driven Design to Build Maintainable and Scalable Backend Architecture

This article explains how the increasing complexity of business logic in modern backend systems leads to tangled code, and demonstrates how strategic and tactical Domain‑Driven Design (DDD) concepts—such as bounded contexts, aggregates, entities, value objects, repositories, and application services—can decouple business and technology, improve maintainability, extensibility, and stability, and guide practical layered architecture implementation.

DDDbackend architectureclean code
0 likes · 30 min read
Applying Domain‑Driven Design to Build Maintainable and Scalable Backend Architecture
Baidu Geek Talk
Baidu Geek Talk
May 19, 2025 · Artificial Intelligence

How Baidu Cloud Achieved 4µs Low-Latency PD Inference with HPN Network Optimizations

To meet the demanding network requirements of large‑scale PD‑separated inference, Baidu Cloud built a 4 µs end‑to‑end low‑latency HPN cluster, optimized traffic management, adaptive routing, and custom Alltoall operators, resulting in up to 20 % throughput gains and reduced latency for both Prefill and Decode stages.

AI inferenceAlltoall optimizationDistributed Training
0 likes · 14 min read
How Baidu Cloud Achieved 4µs Low-Latency PD Inference with HPN Network Optimizations
Baidu Geek Talk
Baidu Geek Talk
May 14, 2025 · Industry Insights

How RapidFS Boosts AI Model Training with 10 TiB/s Throughput

The article explains how large‑scale AI model training and inference require massive data handling, describes the RapidFS storage acceleration cluster deployed on a 30,000‑card Kunlun chip system with hundreds of domestic CPU servers, and presents performance tests showing linear throughput scaling up to over 1 TiB/s, demonstrating the impact of high‑performance storage on compute efficiency.

AI trainingLarge ModelsRapidFS
0 likes · 5 min read
How RapidFS Boosts AI Model Training with 10 TiB/s Throughput
Baidu Geek Talk
Baidu Geek Talk
May 12, 2025 · Artificial Intelligence

One‑Click Deployment of Baidu Qwen3 Large Models on Baidu Baige AI Platform

This guide explains how to use Baidu Baige's AI heterogeneous computing platform to deploy the eight‑model Qwen3 family—including dense and MoE variants—via a one‑click process, covering resource configuration, inference acceleration options, and post‑deployment service access.

AIBaidu BaigeCloud AI
0 likes · 4 min read
One‑Click Deployment of Baidu Qwen3 Large Models on Baidu Baige AI Platform