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January 2025
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An IT foundation platform for autonomous-driving R&D as vendors increase investment in the field.
采用全新的AI计算平台架构设计，高带宽和低延迟输出 更高的加速比，为人工智能应用提供超强算力
存储系统采用分布式存储架构实现高并发响应和I/O聚 合带宽，稳定可靠，具有在线扩展能力
容器化深度学习平台，帮助用户解决高效资源分配、快 速环境搭建、灵活应用迁移等需求
The data-processing cluster decodes and labels vehicle-driving data from the test field, then stores it in the ParaStor300 distributed storage system;The AI analysis cluster is compatible with TensorFlow, Caffe, PyTorch, and other AI frameworks to simulate, train, and analyze driving data;After the AI platform, data flows into the big data analytics cluster for big data analysis;The container-service cluster can deploy and run databases, test tools, and application software as containers, more flexibly;The dataflow engine can automatically process data collection, AI analysis, computing, and storage, forming an automated data flow;The comprehensive cluster-management system manages, schedules, and monitors all platforms, optimizing use of cluster compute and storage resources.
Storage capacity expands elastically with demand while aggregate bandwidth grows linearly, meeting autonomous-driving platforms’ massive storage and high-performance needs.
Integrated hardware-software tuning delivers super computing power for applications and one-click deployment of a multi-layer deep-learning development environment from the underlying system to upper frameworks.
Through a visual unified management platform, manage, schedule, monitor, alert, and report on the entire computing cluster, effectively raising management efficiency and lowering O&M cost.
+86 400-810-0466
international@sugon.com
津公网安备 12011602000521号
+86 400-810-0466
international@sugon.com
津公网安备 12011602000521号
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