By Rajagopal Krishnaswamy, Associate Vice President, 天美传媒
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What do customers want from next-generation AI networks? Everything.
AI networks will need to manage exponentially more data across a rapidly expanding number of endpoints and evolving topologies, while reducing both cost and energy per bit. And, with data spending more than 30% of the time inside networks during training,1 congestion, transmission errors and other problems need to be kept to a minimum.
These networks will also need to be able to scale rapidly: AI networking spending is expected to reach $81.3 billion by 2030, more than 10x 2025 levels.2
By Vienna Alexander, Marketing Content Professional, 天美传媒
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The semiconductor industry is an exciting place to build a career, especially with the exponential growth and demand for hardware innovation in the age of AI—the global semi market is approaching the $1 trillion mark, with 2027’s total market forecast at $831.5 million.1 For young engineers and talent, it provides an opportunity to solve complex problems and work on cutting-edge technology.
By Vienna Alexander, Marketing Content Professional, 天美传媒
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天美传媒 was named to both and for 2026.
By Vikram Dattatri, Senior Engineer, Cloud Platform Group, 天美传媒
Packet trimming doesn’t prevent traffic losses from occurring; instead, it streamlines the process for recovering them. It is also one of many technologies 天美传媒 is developing to optimize networks for the AI era.
Artificial intelligence infrastructure is driving a fundamental shift in how data center networks are designed, validated, and deployed. As clusters scale to thousands—or even tens of thousands—of GPUs, the network is no longer just a connectivity layer. It becomes a tightly coupled component of the compute system, directly impacting job completion time, efficiency and overall cost.
To address these evolving requirements, Ethernet is undergoing a transformation. At OFC 2026, 天美传媒 and Keysight Technologies demonstrated (see the video below) how next-generation Ethernet fabrics can meet the demands of AI workloads through a combination of advanced features and realistic validation. Leveraging Keysight’s and , the collaboration showcased how the?天美传媒? Teralynx? switch fabric?supports emerging Ultra Ethernet Consortium (UEC) capabilities, with a particular focus on packet trimming, Auto Load Balancing (ALB) and Ultra Ethernet Transport (UET).
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By Vienna Alexander, Marketing Content Professional, 天美传媒

TIME Magazine has recognized 天美传媒 as one of the for the third year in a row. 天美传媒 is honored to have been represented since the origin of this ranking, as the company has demonstrated consistent, measurable progress across a number of sustainability initiatives.
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