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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 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.

cloud storagedistributed file systemlock-free design
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 amplificationappend engineblock storage
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 inferenceQuantizationmultimodal diffusion
0 likes · 12 min read
Boosting Large Model Inference: High‑Performance Optimization Techniques
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Jul 10, 2023 · Artificial Intelligence

How Object Storage Accelerates Large AI Model Training and Inference

This article examines the storage challenges posed by large AI models, analyzes the full workflow from data ingestion to inference, compares HDFS and object‑storage data lakes, and presents Baidu's cloud‑native storage‑acceleration solutions—including RapidFS and PFS—that dramatically improve training speed, checkpoint handling, and model deployment throughput.

AIObject Storagecloud-native
0 likes · 19 min read
How Object Storage Accelerates Large AI Model Training and Inference
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Jun 29, 2023 · Artificial Intelligence

How Baidu’s Dual‑Engine GPU Container Virtualization Boosts AI, Rendering, and Cloud Gaming

This article explains Baidu Intelligent Cloud’s GPU container virtualization 2.0, detailing its dual‑engine architecture, resource pooling, and scheduling innovations that isolate AI, rendering, and codec workloads, and showcases real‑world scenarios such as online inference, autonomous‑driving simulation, and cloud gaming to improve GPU utilization.

AI workloadsGPU virtualizationKubernetes scheduling
0 likes · 14 min read
How Baidu’s Dual‑Engine GPU Container Virtualization Boosts AI, Rendering, and Cloud Gaming