Microsoft: Teams are now 50% more energy efficient thanks to CPU and GPU optimizations

Microsoft claims that Teams is now 50% more energy efficient than it was in June 2020, a year and a half ago. In a blog post by Robert Aichner, principal group program manager at Microsoft in the Intelligent Communications and Conversation Cloud (IC3) group, the company has explained how it achieved these impressive benefits.

The evaluation was done by creating a suitable framework to test different scenarios mainly involving group video calling and screen sharing.

Microsoft says this not only helps save energy, but also helps create a great experience on Windows devices using low-end hardware:

In addition to reducing energy costs, these optimizations It also reduces the burden on an organization's hardware and improves the consistency and efficiency of Teams meeting and cross-device calling experiences.

One of the challenges of ubiquitous Teams in the ever-changing ecosystem of Windows devices is the need to create a fair user experience. We strive to ensure a superior calling and conferencing experience for users of low-end hardware, high-end workstations and high-resolution monitors.

Although Microsoft says it has gradually made these improvements in different versions, this is not a one-step process. The following schedule (click to enlarge) displays the timeline for these improvements, which outlines various optimizations made to achieve today's level of efficiency.

In the letter, Microsoft worked on:

• Camera optimizations to reduce CPU load
• Improved video rescaling in Teams when handling group calls at different resolutions
• GPU-based hardware acceleration

The company also added that it's not done yet as it continues to improve the efficiency of Teams by working with CPU and GPU vendors:

Going forward, we will Continue to work closely with CPU and GPU chipset vendors to ensure next-generation chips are further optimized for Teams video conferencing.

You can find more details in the official blog post linked here.

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