Suresh Andani

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Suresh Andani is the senior director of product marketing at Rambus. He is responsible for SerDes interface IP products. Prior to joining Rambus in 2019, Andani worked at Intel Programmable Solutions Group (previously Altera) for 13 years where he led a Systems Engineering and Applications team responsible to build and support FPGA-based system solutions for Enterprise-Cloud-Wireline-Wireless applications. Andani holds an MSEE degree from the University of Southern California in Los Angeles and a BSEE degree from the National Institute of Technology in India.

Author's Latest Posts

Data Center Scaling Requires New Interface Architectures

By Suresh Andani - 11 Jun, 2020 - Comments: 0

You can pick your favorite data points, but the bottom line is global data traffic is growing at an exponential rate driven by a confluence of megatrends. 5G networks are making possible billions of AI-powered IoT devices untethered from wired networks. Machine learning’s voracious appetite for enormous data sets is skyrocketing. Data intensive video streaming for both entertainment and busin... » read more

Enabling Chiplet And Co-Packaged Optics Architectures With 112G XSR SerDes

By Suresh Andani - 14 May, 2020 - Comments: 0

Conventional chip designs are struggling to achieve the scalability, as well as power, performance, and area (PPA), that are demanded of leading-edge designs. With the slowing of Moore’s Law, high complexity ASICs increasingly bump up against reticle limits. The demise of Dennard scaling means power consumption is a growing challenge. In this context, disaggregated architectures such as chipl... » read more

Accelerating AI And ML Applications With PCIe 5

By Suresh Andani - 16 Jan, 2020 - Comments: 0

The rapid adoption of sophisticated artificial intelligence/machine learning (AI/ML) applications and the shift to cloud-based workloads has significantly increased network traffic in recent years. Historically, the intensive use of virtualization ensured that server compute capacity adequately met the need of heavy workloads. This was achieved by dividing or partitioning a single (physical) se... » read more