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Network Intelligence Research Center (NIRC)
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Network Intelligence Research Center (NIRC)

NIRC is based on the National Key Laboratory of Network and Switching Technology at Beijing University of Posts and Telecommunications. It has built a technology matrix across four AI domains—intelligent cloud networking, natural language processing, computer vision, and machine learning systems—dedicated to solving real‑world problems, creating top‑tier systems, publishing high‑impact papers, and contributing significantly to the rapid advancement of China's network technology.

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Recent Articles

Latest from Network Intelligence Research Center (NIRC)

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Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jun 9, 2025 · Artificial Intelligence

How to Build High‑Performance GEMM with NVIDIA CUTLASS

The article explains why standard GEMM libraries may fall short for special matrix shapes, introduces NVIDIA’s open‑source CUTLASS library, details its hierarchical tiling architecture, and walks through a complete device‑API example that customizes tile sizes and data layouts to achieve near‑hand‑written kernel performance on modern GPUs.

CUDACutlassGEMM
0 likes · 6 min read
How to Build High‑Performance GEMM with NVIDIA CUTLASS
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jun 3, 2025 · Cloud Native

How to Deploy and Use a Personal Docker Registry with Distribution

This guide walks through building a private Docker registry using Distribution, covering local deployment, persistent storage, external access configuration, domain mapping, self‑signed TLS setup, root‑certificate installation, and server startup, while noting the lack of a built‑in UI and suggesting docker‑registry‑ui as an optional front‑end.

Cloud NativeDockerRegistry
0 likes · 5 min read
How to Deploy and Use a Personal Docker Registry with Distribution
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
May 14, 2025 · Artificial Intelligence

Hands‑On CLIP: Implementing Multimodal Vision‑Language Understanding

This article introduces OpenAI’s CLIP multimodal model, explains its architecture and contrastive training, details hardware and installation steps, and demonstrates a hands‑on zero‑shot image classification workflow that achieves 97% confidence on a cat image without any task‑specific fine‑tuning.

CLIPPythonVision-Language
0 likes · 6 min read
Hands‑On CLIP: Implementing Multimodal Vision‑Language Understanding
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Apr 23, 2025 · Artificial Intelligence

DeepQueueNet in Practice: Quickly Achieve High‑Precision Network Simulation

This article walks through using DeepQueueNet—a deep‑learning‑enhanced network performance estimator—to set up a device model, train the PyTorch version, configure a fattree16 topology, and run multi‑GPU simulations that deliver minute‑level, packet‑accurate results in as little as 1 minute 27 seconds.

Deep LearningDeepQueueNetPyTorch
0 likes · 6 min read
DeepQueueNet in Practice: Quickly Achieve High‑Precision Network Simulation