AMD global network head Munish Mehta joined Hewlett Packard Enterprise (HPE) as its product management VP for data center networking.

Mehta joins HPE after serving just shy of three years at AMD as its global head of network and data center infrastructure services. The executive oversaw worldwide WAN, campus, cloud, and data center networks for the chip giant, as well as deploying AMD-silicon networking into production.

According to Mehta’s LinkedIn, he shaped partner roadmaps through executive vendor relationships, nearly doubled the networking team in size, and helped deliver more than $10 million in savings via architectural consolidation and price negotiation. Mehta also claims he separated machine-to-machine from user traffic to quadruple WAN capacity, drove SD-WAN critical incidents to near zero, and increase data center switching and wireless capacities by 25-fold and 10-fold, respectively.

Mehta also conceived and led SIGMA, an agentic AI platform adopted by “hundreds” of IT engineers that provides a unified view on unified visibility, analytics, and automation across heterogeneous multivendor networks, telecom spend, data center space and power, and enterprise applications. No public information on this platform was found in a preliminary search by SDxCentral.

Prior to AMD, Mehta worked on engineering for Insieme Networks, which was acquired by Cisco in 2014, where he worked for nine years, ultimately becoming VP of engineering in 2021. Mehta had worked at Cisco from 1999 before joining Big Switch Networks in 2012.

In his second Cisco stint, Mehta led engineering teams delivering Cisco’s SDN ACI controller for automation of hybrid cloud networking infrastructure.

Posting on LinkedIn about his HPE hire, Mehta said he would be leading on the vendor’s open networking products for AI infrastructure, noting AI networking as central to HPE’s growth strategy.

“I've spent my career on both sides of the data center network,” Mehta wrote. “At Cisco, I led the engineering teams behind Nexus 9000, ACI, and Nexus Dashboard. At AMD, I became the customer, running global networks and data centers through the company's AI build-out. Both taught me what AI infrastructure teams need: open, high-performance fabrics that are simple to operate at scale.

“HPE now brings together the complete AI infrastructure portfolio: compute, storage, and networking. The leadership team is focused, hungry for growth, and committed to execution,” Mehta added.