Hewlett Packard Enterprise announced an expanded leadership role effective February 1, 2024 for Neil MacDonald, who has been appointed to lead the company’s HPC & AI business segment in addition to leading its Compute business. MacDonald will continue to report to president and chief executive officer, Antonio Neri and each business segment will continue to report its financial results independently. In his new role as the executive vice president and general manager of both Compute and HPC & AI, MacDonald will lead the team in accelerating HPE’s AI strategy by scaling cloud and software solutions with strong integration of HPE GreenLake. Additionally, the company announced that Hewlett Packard Labs will now move to reporting to Fidelma Russo, HPE’s Chief Technology Officer.
“The HPC and AI business is critical to our ongoing strategy. Neil’s engineering background and expertise in silicon and AI, combined with his decades of proven leadership experience and passion for customer-driven innovation make him uniquely suited to lead this team,” said Neri. “Neil’s technical acumen, vision and passion for advancing HPE’s unique IP in supercomputing, AI infrastructure technologies, and our AI software platform will strengthen the role we can play in our customers’ most critical transformations.”
Notably, under MacDonald’s leadership, the Compute business recently expanded its strategic collaboration with NVIDIA to enhance HPE’s Compute portfolio and build a turnkey enterprise computing solution for GenAI to target a growing market.
“AI and supercomputing are ground-breaking technologies that will soon transform every business and fuel next generation innovations that will fundamentally change the world,” said MacDonald. “I’m deeply committed to continue fostering the mission of our HPC & AI business and lead this incredibly talented team that’s dedicated to solving our customer’s most complex problems.”
Prior to joining our predecessor, Hewlett-Packard Company, MacDonald was Commercial Manager at Edinburgh Parallel Computing Centre where he helped bring the transformational benefits of massively parallel supercomputing to industrial and commercial customers. He holds a bachelor’s degree in Artificial Intelligence with Computer Science and a Ph.D. in Computer Science from the University of Edinburgh, as well as an MBA from San Jose State University.