联教科技operates a lean technical team (4 headcount, 3 engineers) focused on AI platform deployment and education applications. The stack reveals heavy infrastructure engineering: virtualization (KVM, VMware, Hyper-V, Xen), containerization (Kubernetes, Docker), distributed compute (Hadoop, Spark, HDFS), and GPU acceleration (NVIDIA, TensorFlow, PyTorch, Triton, DeepSpeed). Active work on large-model application architecture and intelligent agent solutions suggests a shift from generic AI infrastructure toward domain-specific education use cases.
联教科技is a China-based AI and infrastructure services company headquartered in Shenzhen, Guangdong. The organization combines infrastructure engineering with education-sector product development, delivering AI platforms and scenario-based solutions tailored for educational institutions. Core activities include GPU server deployment and maintenance, database system setup and backup, AI platform performance optimization, and bid proposal development for custom education applications. The team operates with mixed mid-level and manager-level seniority, distributed across engineering, sales, executive, HR, and operations functions.
Infrastructure: CentOS, Ubuntu, Kubernetes, Docker, KVM, VMware, Hyper-V, Xen. Distributed compute: Hadoop, Spark, HDFS. ML frameworks: TensorFlow, PyTorch, Triton, DeepSpeed. GPU acceleration via NVIDIA. Languages: Python, C++, Bash.
AI platform planning and implementation, GPU server deployment, large-model application architecture design, intelligent agent solutions, and AI product applications tailored to the education industry.
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