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Cloud computing is going through a significant overhaul and continues to grow globally with increasing presence of hyperscale cloud providers for big data, high-performance computing (HPC), and analytics. In-house data centers are increasingly going off-premise, resulting in the co-location of data centers that manage and store data for companies and application developers to improve scalability …
Data Centers face many challenges in an environment of exponentially rising data volume growth. With workload demands increasing rapidly, the need for more bandwidth and capacity continues to rise. We’ve reached the point where half of server bill of materials (BoM) costs are for memory. How can we make the best use of this investment? …
*Company email required for registration* If you are designing chips for high-performance computing (HPC) and data center applications, bandwidth is, of course, a key consideration. However, as data centers get bigger and the required compute power increases, keeping power consumption to a minimum becomes a priority. In addition to power, latency is another key concern …
Increased demand for bandwidth, capacity and compute, coupled with the implications for increased data center costs, are the realities of the AI revolution. This is driving the need for new disaggregated architectures in the data center. Join Lou Ternullo to learn about how PCIe 6.1 and CXL 3.1 interfaces are evolving to address the needs …
