The CSB1-N10 features 10 distributed computing nodes, each with a computing power ranging from 6T to 157T. It supports multiple platforms including Rockchip, Sophgo, and NVIDIA. The CSB1-N10 server supports private deployment of mainstream AI models, equipped with two 10 Gigabit Ethernet ports and one Gigabit Ethernet port, and also supports expandable SATA 3.0 hard drives.

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Feature

• Private Deployment of AI Models: It supports private deployment of mainstream large-scale language models (such as Gemma, Llama, Qwen, etc.), large-scale visual models (such as EfficientVIT, SAM, TAM, etc.), image generation models (such as Flux, Stable Diffusion, etc.), and other large-scale models.
• Multiple Deep Learning Frameworks: Supports local large-scale models in Ollama and the ComfyUI graph deployment framework; compatible with various deep learning frameworks accelerated by cuDNN, including PaddlePaddle, PyTorch, TensorFlow, MATLAB, MXNet, and Keras; supports custom operator development and Docker containerization management technology.
• Video Encoding: Supports decoding up to 1 channel 8K@30fps, 3 channels 4K@60fps and 11 channels 1080P@60fps video, as well as encoding 2 channels 4K@60fps and 8 channels 1080P@60fps video.
• 4-port 10 Gigabit SFP+ Network Interface: It features four 10Gbps SFP+ Ethernet ports. Additionally, it includes a dedicated BMC management network interface for separating management and data traffic.
• Includes aBMC Management System: Equipped with an advanced aBMC intelligent management system. Supports secondary development based on customized needs.

Product Overview