Observed Signal · Aug 12, 2026 · Technical Release · Source: t3n · Impact: 4/5 · Sentiment: Positive
Windows 11 adds Low Latency Profile for faster app launches
Microsoft has introduced a new "Low Latency Profile" in Windows 11 that speeds up application startup by briefly increasing CPU performance. The feature is delivered with the August update KB5121003 and alters CPU usage during app launches so the processor can run near full capacity for short bursts. Tests reported by Windows Latest show meaningful reductions in load times for Web-based apps (for example, the Weather app loading time fell from about eight seconds to four). The update is rolling out in waves to users.
An OS-level performance change from Microsoft can affect app startup times, resource usage and user experience; relevant for app developers, performance monitoring, and any in-app experiences including advertising and measurement.
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Key Takeaways & Evidence Grounding
- Microsoft implemented a "Low Latency Profile" in Windows 11 to speed app startup.
- The feature is included in the August update KB5121003.
- Low Latency Profile temporarily raises CPU usage (tests observed bursts to ~80%) during app launch to shorten load times.
- Windows Latest testing showed the Windows Weather app load time reduced from ~8 seconds to ~4 seconds with the feature enabled.
- The update is being rolled out in waves to Windows 11 users.
Connected Companies & Entities
“Microsoft gives Windows 11 a speed boost by adding the Low Latency Profile feature.”
“Windows Latest reports that the feature is available with the August update KB5121003 and directly tested its effectiveness.”
“Testers started several apps including the Epic Games Store as part of the Windows Latest tests.”
“Chrome was one of the applications used in the tests that showed improved startup times.”
“The article notes external content from Podigee GmbH that complements t3n's editorial offering.”
“The article notes external content from TargetVideo GmbH that complements t3n's editorial offering.”
“The article was published on t3n.”
Ontology Mapping & Concepts
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