How CXL Is Improving Latency in High-Performance Computing
From the dawn of civilization through 2003, roughly five exabytes of data were created in total, according Eric Schmidt, past CEO of Google. By 2025, global data creation is expected to reach 180 zettabytes. This means that within the span of a single generation, we've created roughly 36,000 times the amount of data ever created—that's a lot of data! To accommodate this data explosion, the installed base of storage capacity is expected to increase at 19.2% CAGR through 2025, and the data center accelerator market is expected to grow by 25% CAGR through 2028.
It doesn't stop there.
Managing data—created, copied, stored, consumed, and otherwise proliferated from the data center to the edge—creates unique challenges for SoC designers. This includes mounting pressure to move the data through systems faster and with greater efficiency and security: Lower power. Smaller area. Lower latency. And with data confidentiality and integrity. It's essential for the interconnects in multi-die systems to have low latency along with enough flexibility to manage a variety of bandwidths and throughput. Complying with the right industry standards can help ensure design success.
To read the full article, click here
Related Semiconductor IP
- Ultra Ethernet MAC & PCS 100G/200G/400G/800G
- Ethernet PCS 100G/200G/400G/800G/1.6T
- Ethernet MAC 100G/200G/400G/800G/1.6T
- Junction Over-Temperature Detector with Linear Centigrade-to-Voltage Output - X-FAB XT018
- Performance P570 Gen 3
Related Blogs
- How the CXL Standard Improves Latency in High-Performance Computing
- How Arm is making it easier to build platforms that support Confidential Computing
- What Is Viral in CXL 3.0?
- Reduced Operation Set Computing (ROSC) for Flexible, Future-Proof, High-Performance Inference
Latest Blogs
- Inside the SiFive Performance™ P570 Gen 3: High Performance Efficiency for Next-Generation Consumer and Commercial Applications
- What the steam engine can teach us about modern chip design
- Automotive silicon in the era of AI, functional safety, and cybersecurity
- JPEG XS Officially Joins GenICam, The Machine Vision Standard Managed By EMVA
- Beyond PCIe Compliance: Why Stress Testing Is Crucial for Edge AI Deployments