AI computing | BestHub

Architects' Tech Alliance

May 12, 2025 · Artificial Intelligence

Comparison of Fat-Tree, Dragonfly, and Torus Network Topologies for AI and High‑Performance Computing

The article reviews Fat‑Tree, Dragonfly, and Torus network topologies, analyzing their bandwidth, scalability, latency, routing algorithms, and cost trade‑offs for AI‑driven high‑performance computing clusters, and highlights each design's strengths and limitations in large‑scale deployments.

AI computingFat TreeHigh Performance Computing

0 likes · 12 min read

Comparison of Fat-Tree, Dragonfly, and Torus Network Topologies for AI and High‑Performance Computing

Alibaba Cloud Infrastructure

Apr 18, 2025 · Artificial Intelligence

Alibaba Cloud Showcases Optical Interconnect Innovations at OFC 2025 50th Anniversary

At the OFC 2025 50th anniversary in San Francisco, Alibaba Cloud presented cutting‑edge optical interconnect research and solutions for AI computing and modern data‑center networks, highlighted by invited talks, breakthrough demos, and two data‑driven QoT estimation papers co‑authored with Hong Kong Polytechnic University.

AI computingCloud NetworkingPhotonic Integration

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Alibaba Cloud Showcases Optical Interconnect Innovations at OFC 2025 50th Anniversary

Big Data Technology Architecture

Mar 8, 2025 · Artificial Intelligence

Understanding General, Intelligent, and Super Computing: Concepts, Processor Types, and Application Scenarios

This article explains the three main types of computing power—general (通算), intelligent (智算), and supercomputing (超算)—detailing their definitions, typical processor architectures, and real‑world application scenarios across everyday office tasks, AI workloads, and large‑scale scientific research.

AI computingIntelligent ComputingSupercomputing

0 likes · 8 min read

Understanding General, Intelligent, and Super Computing: Concepts, Processor Types, and Application Scenarios

Architects' Tech Alliance

May 23, 2024 · Cloud Computing

Design and Comparison of High‑Performance Cloud Data Center Networks for AI Computing

This article analyzes traditional cloud data center network limitations for AI workloads and compares various high‑bandwidth, low‑latency architectures—including two‑layer and three‑layer fat‑tree designs, InfiniBand, and RoCE—providing best‑practice recommendations for building scalable, non‑blocking AI‑Pool networks.

AI computingFat TreeGPU clusters

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Design and Comparison of High‑Performance Cloud Data Center Networks for AI Computing

Tencent Cloud Developer

Apr 14, 2023 · Artificial Intelligence

Tencent Cloud's Next-Generation HCC High-Performance Computing Cluster for Large Model Training

Tencent Cloud's new HCC high‑performance computing cluster triples previous generation performance with 3.2 TB/s server bandwidth, Xingsha servers and NVIDIA H800 GPUs delivering up to 1979 TFlops, while its Xingmai 3.2 T ETH RDMA network, TB‑level storage via COS + GooseFS, and multi‑form access (bare metal, cloud servers, containers, functions) enable efficient large‑model training.

AI computingGPU ClusterHigh Performance Computing

0 likes · 9 min read

Tencent Cloud's Next-Generation HCC High-Performance Computing Cluster for Large Model Training

Baidu Geek Talk

Jul 18, 2022 · Artificial Intelligence

GPU Container Virtualization for AI Heterogeneous Computing: Architecture and Best Practices

The article surveys GPU container virtualization for AI heterogeneous computing, detailing utilization challenges, historical architectures, various virtualization methods, Baidu's dual-engine user- and kernel-space design with isolation and scheduling features, performance benefits, best‑practice scenarios, and deployment guidance, concluding with a technical Q&A.

AI computingCloud NativeContainerization

0 likes · 30 min read

GPU Container Virtualization for AI Heterogeneous Computing: Architecture and Best Practices