{"id":911342,"date":"2025-11-18T17:11:45","date_gmt":"2025-11-18T22:11:45","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/astera-labs-leo-cxl-smart-memory-controllers-on-microsoft-azure-m-series-virtual-machines-overcome-the-memory-wall\/"},"modified":"2025-11-18T17:11:45","modified_gmt":"2025-11-18T22:11:45","slug":"astera-labs-leo-cxl-smart-memory-controllers-on-microsoft-azure-m-series-virtual-machines-overcome-the-memory-wall","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/astera-labs-leo-cxl-smart-memory-controllers-on-microsoft-azure-m-series-virtual-machines-overcome-the-memory-wall\/","title":{"rendered":"Astera Labs’ Leo CXL Smart Memory Controllers on Microsoft Azure M-series Virtual Machines Overcome the Memory Wall"},"content":{"rendered":"
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SAN JOSE, Calif., Nov. 18, 2025 (GLOBE NEWSWIRE) — Astera Labs, Inc. (Nasdaq: ALAB), a leader in semiconductor-based connectivity solutions for rack-scale AI infrastructure, today announced its Leo CXL Smart Memory Controllers enable customers to evaluate Compute Express Link\u00ae<\/sup> (CXL\u00ae<\/sup>) memory expansion capabilities for their specific workloads in the\u00a0Azure M-series virtual machines (VMs) preview<\/a>.<\/p>\n

Microsoft’s Azure M-series VMs is the industry’s first announced deployment of CXL-attached memory, addressing the growing demands of memory-intensive workloads, including in-memory databases. As organizations process increasingly large datasets, traditional server architectures face a fundamental bottleneck known as the \u201cmemory wall.\u201d CXL technology breaks through this barrier by enabling memory expansion beyond the limitations of CPU-attached DRAM, providing cloud providers and enterprises with the flexibility to scale memory capacity and performance.<\/p>\n

Leo CXL Smart Memory Controllers support CXL 2.0 with up to 2TB of memory capacity per controller, enabling cloud providers to scale server memory capacity by more than 1.5\u00d7.\u00b9 This addresses enterprise workloads such as in-memory databases and big data analytics, while also enabling AI inference applications, KV Cache storage for LLMs, machine learning workloads, and recommendation systems where large-scale memory capacity significantly reduces total cost of ownership.<\/p>\n

\u201cOur collaboration with Microsoft on CXL-attached memory for Azure M-Series virtual machines demonstrates our commitment to advancing memory connectivity solutions for cloud infrastructure,\u201d said Thad Omura, chief business officer for Astera Labs. \u201cBy enabling dramatically higher memory capacities, we unlock performance and scalability for a growing list of AI and in-memory databases\u2014applications where memory is the ultimate constraint. Astera Labs aims to advance memory connectivity innovations that redefine what\u2019s possible in modern infrastructure.\u201d<\/p>\n

\u201cAddressing memory capacity constraints in cloud infrastructure requires deep collaboration to understand both the technical challenges and the operational demands of hyperscale deployment,\u201d said Rajesh Sankaran, distinguished engineer and vice president, Azure Hardware Systems & Architecture at Microsoft. \u201cAstera Labs has been integral to advancing CXL capabilities for Azure, and their engagement\u2014from early architectural discussions through platform integration\u2014exemplifies the kind of collaboration essential for enabling new technologies.\u201d<\/p>\n

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