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Microsoft Gives Task Manager Another Task: Watching AI Workloads

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Why This Matters

Microsoft's enhancement of Task Manager to include NPU and GPU neural engine usage marks a significant step in providing users and developers with better visibility into AI workloads on Windows devices. This development helps optimize hardware utilization and improves decision-making for AI application performance. As AI integration deepens in everyday computing, such transparency becomes crucial for both consumers and industry professionals.

Key Takeaways

Microsoft is expanding Windows Task Manager to show per-process NPU and GPU neural-engine usage, giving users more visibility into which apps are consuming hardware for AI workloads. The Register reports: The Processes tab can show NPU use alongside CPU and GPU activity, while the Performance tab displays overall utilization. [...] Microsoft was keen to point out the metrics that can be monitored. "As AI workloads become more common on Windows devices, visibility into NPU and GPU neural engine utilization can help you make better-informed decisions," the company said. "With the latest Task Manager improvements, you can monitor AI processing activity alongside CPU, memory, storage, and networking data from a familiar interface."

Read more of this story at Slashdot.