Neptune.ai > 实例探究 > 使用 Neptune 增强实验工作流程和资源监控：Waabi 案例研究

使用 Neptune 增强实验工作流程和资源监控：Waabi 案例研究

技术

分析与建模 - 机器学习
传感器 - 自动驾驶传感器

适用行业

教育
设备与机械

适用功能

产品研发

用例

实验自动化
虚拟培训

服务

云规划/设计/实施服务
培训

关于客户

Waabi 是一家自动驾驶卡车技术公司，利用深度学习、概率推理和复杂优化来开发端到端可训练和可解释的软件。

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挑战

Waabi 面临的挑战是跟踪从大规模实验中收集的数据并以有组织且可共享的方式导出这些数据。他们需要整个组织的可见性和一致性。

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解决方案

Waabi 选择了实验跟踪工具 Neptune 来解决他们的挑战。海王星提供了一个统一的工作空间来组织和共享实验结果。它提供了协作功能和高质量的文档。

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运营影响

The implementation of Neptune has not only improved visibility across the organization but also made the teams at Waabi more productive. The tool has made it easier to keep track of the experiments they are running, reducing the amount of overhead spent on organization. Collaboration and knowledge transfer have become much easier, with everyone in the organization able to view and share experiments. The tool has also been beneficial for resource monitoring, particularly for data-heavy models. The team can now track utilization and improve it, monitor memory increases over time, and remotely stop cloud training jobs from the Neptune UI. This has been particularly helpful for debugging and optimizing training runtime, which directly affects cost and productivity.

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数量效益

Almost all projects in the company are now using Neptune for experiment tracking.
The tool has significantly reduced the amount of overhead spent on organization.
The tool has improved the visibility across the organization in large-scale experimentation workflow.

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