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Latest from Baidu Intelligent Cloud Tech Hub

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Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Sep 26, 2023 · Artificial Intelligence

How Baidu’s Autonomous Driving Toolchain Powers Production‑Ready AI

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.

AIAutonomous DrivingCloud Services
0 likes · 11 min read
How Baidu’s Autonomous Driving Toolchain Powers Production‑Ready AI
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Sep 21, 2023 · Artificial Intelligence

How Baidu Cloud Integrates AI and Cloud to Accelerate Autonomous Driving

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.

AI infrastructureAutonomous DrivingCloud Computing
0 likes · 12 min read
How Baidu Cloud Integrates AI and Cloud to Accelerate Autonomous Driving
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Sep 4, 2023 · Big Data

How Baidu’s Aries Cloud Storage Leverages Tape Libraries for Massive Cold Data Archiving

This article explains Baidu Intelligent Cloud’s tape‑library based cold‑data storage architecture, covering tape media basics, the Aries cloud storage system, its modular design, data flow, write and retrieval processes, and a real‑world deployment case that demonstrates cost‑effective petabyte‑scale archival.

ariescloud storagecold data
0 likes · 31 min read
How Baidu’s Aries Cloud Storage Leverages Tape Libraries for Massive Cold Data Archiving
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Aug 29, 2023 · Cloud Computing

How Baidu CFS Scales to Billions of Files with a Lock‑Free Metadata Service

This article explains Baidu's CFS architecture for building a billion‑file‑scale distributed file system, covering basic file system concepts, POSIX limitations, metadata service modeling, performance metrics, evolution of metadata architectures, and CFS's lock‑free design that achieves high scalability, low latency, and balanced load in cloud storage.

Distributed File SystemScalabilitycloud storage
0 likes · 32 min read
How Baidu CFS Scales to Billions of Files with a Lock‑Free Metadata Service
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Aug 22, 2023 · Fundamentals

How Baidu’s CDS Uses Erasure Coding to Cut Storage Costs and I/O Amplification

This article explains Baidu Intelligent Cloud's block storage (CDS) architecture, comparing fault‑tolerance methods, detailing the challenges of large‑scale erasure‑coded storage, and describing Baidu's two‑layer append‑engine solution that reduces I/O amplification while keeping costs low.

I/O amplificationStorage Optimizationappend engine
0 likes · 15 min read
How Baidu’s CDS Uses Erasure Coding to Cut Storage Costs and I/O Amplification
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Aug 8, 2023 · Artificial Intelligence

Unlocking LMOps: How Enterprises Can Master Large Model Operations

This article explains the evolution from traditional machine learning to the current large‑model era, introduces LMOps concepts and key technologies, compares them with MLOps, and showcases Baidu Cloud's Qianfan platform as a practical solution for building, deploying, and managing large language models in industry.

AI OperationsBaidu CloudLMOps
0 likes · 22 min read
Unlocking LMOps: How Enterprises Can Master Large Model Operations
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Jul 31, 2023 · Artificial Intelligence

Boosting Large Model Inference: High‑Performance Optimization Techniques

This article explains the background, challenges, and high‑performance optimization methods for deploying large language and multimodal models, covering inference workflow analysis, distributed concurrency, latency reduction, quantization strategies, and service throughput improvements to achieve industry‑leading speed and memory efficiency.

distributed inferencemultimodal diffusionquantization
0 likes · 12 min read
Boosting Large Model Inference: High‑Performance Optimization Techniques