The explosion of data and rapid growth in specialized workloads — like artificial intelligence (AI) and machine learning — have given rise to heterogeneous computing and composable disaggregation topologies. Purpose-built connectivity solutions from Astera Labs address the performance bottlenecks in these data-centric systems.
Unlock Low-Latency Connectivity in Complex System Topologies
Astera Labs Makes it Happen
Astera Labs’ solutions are purpose-built to tackle bandwidth, capacity, and performance bottlenecks in data-centric systems. Our system-aware semiconductor products, boards and services enable robust CXL™ 1.1/2.0, PCIe® 4.0/5.0, and 100G/Lane Ethernet connectivity, providing deep diagnostics and fleet management capabilities to both system designers and cloud service providers.
Server Connectivity Backbone
High-bandwidth, low-latency interconnects for compute, storage and accelerator resources
GPUs & AI Accelerators
Robust PCIe 4.0, PCIe 5.0, and CXL connectivity between GPUs, AIPs and FPGAs in JBoG or AI-box applications
Networking
Copper-based 400G/800G Ethernet rack connectivity between server-to-switch and switch-to-switch applications
Memory
Robust disaggregated memory pooling and expansion for processors, workload accelerators, and smart I/O devices
Products & Services
Purpose-built ICs
Purpose-built silicon ICs to address connectivity bottlenecks throughout the data center
What Our Customers & Partners Say

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.

Taurus Smart Cable Modules™: An Active + Smart Approach to 200/400/800GbE
Today’s data center networks are primarily serviced by 25G/lane Ethernet technology; however, these networks are quickly moving to 50G and 100G/lane to allow hyperscalers to add additional servers and switches to their Clos Network topologies and support data-intensive workloads such as AI and Machine Learning. This rapid growth in Ethernet port speed is causing a new set of challenges for design complexity and serviceability of hyperscale architectures.

The Evolution of the In-Vehicle Network
Interconnect technologies will play an important role in the overall connected car story to meet the needs of mass data transfer within the In-Vehicle Network. We have recently seen these types of challenges and a similar evolution in enterprise data centers, where intelligent systems running data-intensive workloads — such as Artificial Intelligence and Machine Learning — have drastically increased the overall design complexity.