Farewell to the 'Performance Black Box': Windows 11 Task Manager Officially Supports NPU Monitoring

marsbitPubblicato 2026-03-31Pubblicato ultima volta 2026-03-31

Introduzione

Microsoft has introduced a significant update to the Task Manager in a recent Windows 11 development build, adding real-time monitoring for Neural Processing Units (NPU). This enhancement addresses a key gap in hardware performance visibility, particularly as NPUs become central to AI PCs. Users can now track NPU utilization across processes, users, and details tabs in the latest preview version (26300.8142). The update also provides insights into dedicated and shared memory usage by applications. Additionally, the performance page displays detailed activity for neural engines integrated within GPUs, offering comprehensive oversight of all AI-related operations. This upgrade integrates NPUs into the mainstream hardware performance evaluation system, providing developers and power users with essential data for optimizing AI application efficiency and power consumption. The feature is currently available to Windows Insiders, with a broader rollout expected in the future, signaling deeper integration of AI hardware into the Windows ecosystem.

Microsoft recently introduced a major upgrade to the Task Manager in a Windows 11 development build update. This update finally completes the last piece of the hardware monitoring puzzle by officially adding real-time monitoring capabilities for the Neural Processing Unit (NPU).

With the popularization of the AI PC concept, the NPU has become the core hardware for handling artificial intelligence tasks. Previously, users were unable to visually check the operating status of the NPU, but this upgrade makes the load conditions of this dedicated chip transparent and visible.

In the latest preview build 26300.8142, the Task Manager's Processes, Users, and Details pages have all added an NPU column. Users can not only view the real-time NPU utilization but also gain in-depth insights into the specific consumption of dedicated memory and shared memory by various applications.

Furthermore, Microsoft has refined the monitoring dimensions; the Performance page can now fully showcase the neural network engine activity built into the graphics card. This means that all AI-related operational traces within the system will be comprehensively captured by the Task Manager.

This evolution of the Task Manager marks the NPU's official entry into the mainstream hardware performance evaluation system. For developers and tech-savvy users, this is not just an increase in data but also a foundation for precisely tuning the energy consumption and efficiency of AI applications.

Currently, this feature is primarily available to Windows Insiders in preview builds, and a wider rollout will take some time. It is foreseeable that with the普及 of NPU monitoring, future Windows systems will undergo a deeper experience reconstruction centered around the AI hardware ecosystem.

Domande pertinenti

QWhat major update did Microsoft recently introduce to the Task Manager in Windows 11?

AMicrosoft introduced real-time monitoring for the Neural Processing Unit (NPU) in the Task Manager.

QWhy is the NPU monitoring feature significant for AI PC users?

AIt allows users to visually check the workload and status of the NPU, which is crucial for handling AI tasks, making the specialized chip's operations transparent.

QWhich Windows 11 preview build version includes the NPU monitoring capability?

AThe feature is available in the preview build version 26300.8142.

QWhat specific details can users monitor regarding NPU usage in the Task Manager?

AUsers can view real-time NPU utilization and see how programs consume dedicated and shared memory.

QWho currently has access to the NPU monitoring feature in Windows 11?

AThe feature is currently available to Windows Insiders in the preview version, with a wider rollout expected later.

Letture associate

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

Ray Dalio, founder of Bridgewater Associates, warns in an interview that the current AI boom shows classic bubble characteristics, which could lead to significant economic downturns as seen in past cycles like 1929 or 2000. He explains that speculative enthusiasm, fueled by debt and overvaluation, often precedes a crash when rising rates or taxation force asset sales, causing widespread losses and recession. Dalio also outlines his "Big Cycle" theory, describing an approximate 80-year pattern where widening wealth gaps, massive government deficits, and shifting geopolitical power (like China's rise) create internal conflict and global instability. He emphasizes that we are in a late-cycle, transitional phase where traditional powers like the US and UK face decline. For personal wealth protection, Dalio advises diversification beyond cash into assets like stocks, bonds, real estate, and particularly gold, which he prefers over Bitcoin. While he holds about 1% of his portfolio in Bitcoin as a non-printable hard asset, he views gold as more secure from technological or governmental threats. Regarding AI's impact, Dalio believes it will disproportionately benefit capital owners, worsening inequality by replacing both physical and cognitive labor. He suggests that human intuition and emotional intelligence, combined with AI, will be key for future workers. On taxation, Dalio argues that wealth taxes are impractical and risk triggering asset sell-offs, reducing productive investment. He points to the UK as a cautionary example of debt, low productivity, and political strife. Geopolitically, Dalio foresees a more regionalized world, with the US showing weakness in prolonged conflicts like with Iran, akin to past imperial declines. The ideal outcome, he suggests, is coexisting powerful blocs (e.g., Americas, China-Asia Pacific) without major war.

marsbit3 h fa

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

marsbit3 h fa

Daily 7.2 Trillion KRW: Foreign Capital's Record Net Buying on Friday! Wall Street Says Headwinds for Korean Stock Fund Flows Have Subsided

South Korean stock market sees a dramatic shift in fund flows. On July 31, foreign investors made a record net purchase of approximately KRW 7.2 trillion in KOSPI stocks, marking a fundamental reversal from the persistent large-scale net outflows seen in previous months. This contributed to a significant narrowing of foreign net selling in July to KRW 9.8 trillion, down sharply from KRW 48.4 trillion in June and KRW 44.5 trillion in May. Simultaneously, domestic institutional pressure eased. South Korean pension funds and asset managers turned to a net buying position in July, purchasing KRW 1.0 trillion worth of KOSPI shares, contrasting with net sales in May and June. Market volatility is expected to be dampened by new financial regulations. Effective July 31, the Financial Services Commission tightened access for retail investors to single-stock leveraged ETFs by raising the minimum cash deposit requirement. Trading volumes for these products subsequently dropped to about 50% of their monthly average. Citigroup Research maintains its year-end KOSPI target of 10,000 points. The firm cites several supportive factors: the substantial easing of headwinds from capital outflows, a robust fundamental outlook for the semiconductor sector, historically low market valuations, strong economic fundamentals, and the potential for policy support from financial authorities if needed.

marsbit3 h fa

Daily 7.2 Trillion KRW: Foreign Capital's Record Net Buying on Friday! Wall Street Says Headwinds for Korean Stock Fund Flows Have Subsided

marsbit3 h fa

Thanks to Dice Rolls, Bitcoin Keys Are Stored Offline, But Not Everyone Will Do It

The article discusses using dice rolls to generate secure Bitcoin wallet seeds, providing entropy independent of potentially flawed hardware random number generators. It explains that each fair dice roll offers about 2.585 bits of entropy, with around 50 rolls needed for a standard 12-word seed phrase and 99+ recommended for higher security. This method gained attention after a vulnerability was revealed in some Coldcard hardware wallets, where a faulty firmware RNG (dating back to 2021) compromised generated keys. The analysis notes that while a dice-generated main seed was safe from this specific flaw, other Coldcard functions (like creating paper wallets, backup keys, or passwords) could still be vulnerable if they used the defective RNG. The piece argues that while dice-based entropy is technically robust, the manual process is error-prone, tedious, and unrealistic for most new users, who might make mistakes in recording or inputting rolls. It concludes that while manual entropy generation should remain an option for advanced users, the long-term goal is to develop reliable, user-friendly hardware and software that securely generates randomness without requiring specialized knowledge. Coldcard users are advised to check their firmware version and replace any secondary secrets (like paper wallet keys) created with vulnerable devices, while also considering multi-signature setups with devices from different manufacturers for added security.

cryptonews.ru8 h fa

Thanks to Dice Rolls, Bitcoin Keys Are Stored Offline, But Not Everyone Will Do It

cryptonews.ru8 h fa

Trading

Spot
活动图片