Astera Labs Co-Founders Sanjay Gajendra, Jitendra Mohan, and Casey Morrison highlight the company’s enduring partnership with Intel Capital.
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The Generative AI Impact: Accelerating the Need for Intelligent Connectivity Solutions
We have entered the Age of Artificial Intelligence and Generative AI is developing at a rapid pace and becoming integral to our lives. According to Bank of America analysts, “just as the iPhone led to an explosion in the use of smartphones and phone apps, ChatGPT-like technology is revolutionizing AI”.[1] Generative AI is changing every… Read More »
Let’s Get Real with CXL at MemCon!
Join us at this industry-first memory event focused on end users and systems, taking place Tuesday March 28 through Wednesday March 29 at the Computer History Museum in Mountain View, California. In today’s data centers, the exponential growth in Artificial Intelligence and Machine Learning applications is driving the need for a significant increase in memory…. Read More »
Cloud-Scale Infrastructure Fleet Management Made Easy with Aries Smart Retimers
Data centers today have a lot of servers, and within each server there is an abundance of storage, specialized accelerators, and networking/communications infrastructure. These represent tens of thousands of interconnected systems, and with the rise of hyperscalers and cloud service providers, the scale of data infrastructure is only expected to grow in the years to… Read More »
Astera Labs Joins the Optical Internetworking Forum (OIF) Interoperability Demo at OFC 2023
Partnering with Intel and Supermicro, Astera Labs will demonstrate CXL memory expansion using our industry-leading Leo Smart Memory Controllers running real-world workloads and compare performance benchmarks for direct attach memory vs. CXL attach memory implementation for large in-memory applications. This demonstration will also highlight how our Aries Smart Retimers enable longer PCIe (PCI Express) 5.0 and CXL 1.1. signal reach to implement complex topologies. Both Leo and Aries product lines are in advanced sampling stage and ready for deployment in Cloud servers.