Astera Labs’ Head of Sales and Operations for Asia, Campbell Kan, shares details on our partnership with TSMC. We recently had the opportunity to demonstrate our Aries Smart Retimers and Leo Memory Connectivity Platform – solutions optimized to enable compute-intensive generative AI – at TSMC’s China Technology Symposium.
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Deploy Purpose-Built Connectivity Solutions at Scale
Learn how at DesignCon 2023! We are excited to be heading back to DesignCon 2023, taking place January 31-February 2 at the Santa Clara Convention Center. We’ll be demonstrating our portfolio of purpose-built connectivity solutions that eliminate performance bottlenecks throughout the data center. Now, we’re making it easier than ever for you to deploy solutions… Read More »
Top 5 reasons to meet with Astera Labs at Intel® Innovation
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.
Unlocking Cloud Server Performance with CXL
The increasing volume of data and complexity of models requires advancements in cloud server architecture to remove memory bottlenecks and unlock the performance for compute-intensive workloads, such as Artificial Intelligence and Machine Learning. Leo Memory Connectivity Platform for CXL 1.1 and 2.0 eliminates the memory bottlenecks inherent in today’s architectures and enables new heterogeneous infrastructure to increase performance and reduce costs for cloud-scale deployment.
Connectivity Is Key to Harnessing the Data Reshaping Our World
As our appetite for creating and consuming massive amounts of data continues to grow, so too will our need for increased cloud capacity to store and analyze this data. Additionally, the server connectivity backbone for data center infrastructure needs to evolve as complex AI and ML workloads become mainstream in the cloud.
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