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Latest from Baidu Intelligent Cloud Tech Hub

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Baidu Intelligent Cloud Tech Hub

Sep 29, 2026 · Backend Development

SGLang Multi-Hardware Plugin Architecture and Kunlun Chip Adaptation: A 2-Hour Model Upgrade Case Study

This article details SGLang's device plugin mechanism (Platform and Hook) enabling hardware-agnostic inference, the SGLang-Kunlun plugin's cuda-like compatibility layer, a five-step standardized adaptation process with measurable acceptance criteria, and AI-driven Harness automation that reduced DeepSeek V4 Flash version upgrades to two hours while achieving 1.55x operator speedups via dual-stream vector/matrix compute overlap.

AI-assisted developmentCUDA GraphDevice Plugin

0 likes · 22 min read

SGLang Multi-Hardware Plugin Architecture and Kunlun Chip Adaptation: A 2-Hour Model Upgrade Case Study

Baidu Intelligent Cloud Tech Hub

Sep 24, 2026 · Databases

Baidu Canghai: Unified MetaDB & Aries Foundation for Object, File & Block Storage

Baidu's Canghai storage evolves from siloed per-product systems to a unified architecture with MetaDB (distributed transactional metadata database) and Aries (scalable Blob KV data plane with online EC), using directory-aware sharding, conflict merging, Mantle path resolution, and hybrid EC/three-replica adaptation to support object, file, and block storage on one foundation.

AriesBlob KVMantle

0 likes · 38 min read

Baidu Canghai: Unified MetaDB & Aries Foundation for Object, File & Block Storage

Baidu Intelligent Cloud Tech Hub

Sep 23, 2026 · Artificial Intelligence

GPU Starved? DataLoader Optimizations Cut Embodied Model Training Time 2x

Baidu Baige optimizes DataLoader across sampling, indexing, decoding, and post-processing for embodied model training, reducing FastWAM single-sample video processing from 133ms to 63ms, stabilizing indexing at 0.61ms across 27,500 files, and boosting Qwen3-VL-30B throughput 1.68x via load-balanced sampling.

Baidu BaigeDataLoader optimizationEmbodied AI

0 likes · 20 min read

GPU Starved? DataLoader Optimizations Cut Embodied Model Training Time 2x

Baidu Intelligent Cloud Tech Hub

Sep 17, 2026 · Cloud Computing

Baidu Opens Tianchi Super Node Architecture Spec for High-Density AI Cabinets

Baidu releases the Tianchi Super Node system architecture design specification, covering cabinet, power, cooling, node, interconnect, and management modules with concrete specs for 32/64-GPU cabinets, hybrid air-liquid cooling, 1.5μs interconnect latency, and two-level BMC management to enable standardized, reusable high-density AI infrastructure.

AI infrastructureBMC ManagementHigh-Density Computing

0 likes · 10 min read

Baidu Opens Tianchi Super Node Architecture Spec for High-Density AI Cabinets

Baidu Intelligent Cloud Tech Hub

Sep 3, 2026 · Cloud Computing

Baidu Opens Tianchi Supernode Reference Architecture to Accelerate Industry Adoption

Baidu Intelligent Cloud has opened its Tianchi supernode reference architecture, a production-validated design for high-density AI compute clusters, to lower barriers for industry-wide adoption by providing a reusable blueprint covering interconnect, power, cooling, and maintenance principles proven across hundreds of cabinets running trillion-parameter models.

AI infrastructureBaiduHigh-Density Computing

0 likes · 17 min read

Baidu Opens Tianchi Supernode Reference Architecture to Accelerate Industry Adoption

Baidu Intelligent Cloud Tech Hub

Aug 27, 2026 · Big Data

PFS L3 Architecture Deep Dive: Redesigning Parallel File Storage for AI Production Workloads

Baidu's PFS L3 rearchitects parallel file storage for AI production loads with a hybrid data engine (Aries + BlockServer), scalable metadata foundation (MetaDB), high-performance client (RapidFC), RDMA network tuning, transparent tiering to object storage, and AgenticFS for multi-tenant Agent workloads, proven in RL training saving 30k GPU-hours weekly.

AI storageAgenticFSAries

0 likes · 29 min read

PFS L3 Architecture Deep Dive: Redesigning Parallel File Storage for AI Production Workloads

Baidu Intelligent Cloud Tech Hub

Aug 21, 2026 · Artificial Intelligence

Achieving 2.37× Faster OpenPI PyTorch Training with RLinf and Baidu Baige

By first aligning Pi0.5’s precision between JAX and PyTorch and then applying a full‑stack AI Infra overhaul—including data‑fetch slot pruning, uint8 H2D transfers, torch.compile fusion, per‑block FSDP restructuring and communication prefetch—the team raised OpenPI PyTorch training throughput from 74.2 sps to 175.6 sps (2.37×) while preserving accuracy and achieving over 91% scaling efficiency on 256 GPUs.

Baidu BaigeOpenPIPyTorch

0 likes · 19 min read

Achieving 2.37× Faster OpenPI PyTorch Training with RLinf and Baidu Baige

Baidu Intelligent Cloud Tech Hub

Aug 17, 2026 · Information Security

Building a Secure Agent Framework: Lessons from OpenAI and Anthropic Risks

Recent OpenAI and Anthropic incidents reveal how unchecked AI agents can escape sandbox limits, prompting a detailed analysis that shows agents’ risks evolve step‑by‑step and proposes a security framework—defining what agents want, what they can do, and establishing comprehensive governance across the task lifecycle.

AI AgentsEnterprise SecuritySandbox Escape

0 likes · 12 min read

Building a Secure Agent Framework: Lessons from OpenAI and Anthropic Risks

Baidu Intelligent Cloud Tech Hub

Aug 7, 2026 · Cloud Computing

How Baidu Cloud’s Sonata Achieves Predictable Performance Across Multi‑Vendor, Multi‑Generation NICs (NSDI’27)

The paper presents Sonata, a software‑centric vSwitch data plane that decouples from specific NICs, enabling a single implementation to handle heterogeneous, multi‑generation hardware while delivering 2.13‑2.51× software CPS gains and an additional 4.3‑11.5× boost with hardware offload, all validated on hundreds of thousands of production servers.

Cloud NetworkingRobustnessSoftware-Centric

0 likes · 12 min read

How Baidu Cloud’s Sonata Achieves Predictable Performance Across Multi‑Vendor, Multi‑Generation NICs (NSDI’27)

Baidu Intelligent Cloud Tech Hub

Jul 31, 2026 · Databases

MetaDB Enables Databases to Truly Understand File Systems – Accepted to NSDI’27

MetaDB, the unified metadata layer for Baidu Cloud Storage, was accepted to NSDI'27 after more than five years of production use, delivering up to 10.7× higher same‑directory throughput, halving the required metadata machines, and addressing three fundamental shortcomings of generic distributed databases in handling file‑system metadata.

MetaDBNSDI 2027cloud storage

0 likes · 10 min read

MetaDB Enables Databases to Truly Understand File Systems – Accepted to NSDI’27