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Latest ³Ô¹ÏºÚÁÏ Blog Articles

• July 14, 2026

  

  

  

  Uplifting Young Talent in the Semiconductor Industry

  By Vienna Alexander, Marketing Content Professional, ³Ô¹ÏºÚÁÏ

  

  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¡ªthe 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.

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• July 09, 2026

  

  

  

  Honoring Workplace Excellence: Best Companies Awards

  By Vienna Alexander, Marketing Content Professional, ³Ô¹ÏºÚÁÏ

  

  ³Ô¹ÏºÚÁÏ was named to both and for 2026.

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• July 08, 2026

  

  

  

  Scaling AI Networks with Intelligent Ethernet: Validating Packet Trimming, Auto Load Balancing (ALB) and Ultra Ethernet Transport (UET) on ³Ô¹ÏºÚÁÏ Teralynx

  By Vikram Dattatri, Senior Engineer, Cloud Platform Group, ³Ô¹ÏºÚÁÏ

  Packet trimming doesn¡¯t prevent traffic losses from occurring; instead, it streamlines the process for recovering them. It is also one of many technologies ³Ô¹ÏºÚÁÏ 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¡ªor even tens of thousands¡ªof 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, ³Ô¹ÏºÚÁÏ 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?³Ô¹ÏºÚÁÏ? 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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• July 01, 2026

  

  

  

  Innovating Sustainably: Recognized Among the World¡¯s Most Sustainable Companies in 2026

  By Vienna Alexander, Marketing Content Professional, ³Ô¹ÏºÚÁÏ

  

  TIME Magazine has recognized ³Ô¹ÏºÚÁÏ as one of the for the third year in a row. ³Ô¹ÏºÚÁÏ 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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• June 24, 2026

  

  

  

  Structera X and A CXL Compression: Making Every Gigabyte Count

  By Arifur Rahman, Director of Product Marketing, Custom Cloud Solutions, ³Ô¹ÏºÚÁÏ

  

  Modern AI workloads are insatiable consumers of memory. Deep learning recommendation models (DLRM), large language model (LLM) inference, in-memory databases and vector search engines all share a common bottleneck: there is never enough DRAM, and what exists is very expensive.

  At today's spot prices¡ª$27¨C$37 per GB for server-grade DDR5 RDIMMs1¡ªa 12TB memory pool requires nearly half a million dollars in DRAM alone. Meanwhile, AI infrastructure buildouts are consuming server DRAM capacity faster than fabs can produce it, driving prices up 300¨C400% since mid-2025.^{1, 2}

  CXL memory expansion was supposed to solve this. And it does¡ªbut there's a subtler lever that most solutions ignore: the data sitting in that memory is compressible, and most CXL controllers don't touch it.

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Recent Posts

• Uplifting Young Talent in the Semiconductor Industry
• Honoring Workplace Excellence: Best Companies Awards
• Scaling AI Networks with Intelligent Ethernet: Validating Packet Trimming, Auto Load Balancing (ALB) and Ultra Ethernet Transport (UET) on ³Ô¹ÏºÚÁÏ Teralynx
• Innovating Sustainably: Recognized Among the World¡¯s Most Sustainable Companies in 2026
• Structera X and A CXL Compression: Making Every Gigabyte Count