Lumina AI Provides HPE’s Trish Damkroger to Board – Excessive-Efficiency Computing Information Evaluation

Lumina AI Provides HPE’s Trish Damkroger to Board – Excessive-Efficiency Computing Information Evaluation
Lumina AI Provides HPE’s Trish Damkroger to Board – Excessive-Efficiency Computing Information Evaluation


At present serving as Senior Vice President and GM for HPC and AI at Hewlett Packard Enterprise (HPE), Damkroger has been instrumental in shaping the corporate’s AI technique and product innovation. Earlier than becoming a member of HPE, Trish held a distinguished function at Intel, the place she led the corporate’s Excessive Efficiency Computing enterprise. Her deep understanding of modern applied sciences and her confirmed observe report in driving technological developments make her a useful addition to Lumina AI’s management.

“We’re honored to welcome Trish Damkroger to our board,” mentioned Allan Martin, CEO of Lumina AI. “Trish’s experience in AI and Excessive-Efficiency Computing, coupled along with her strategic imaginative and prescient, make her a rare addition to our firm. Trish’s management and insights will undoubtedly assist us advance our mission and propel Lumina to success at scale.”

Damkroger’s profession is marked by her management in driving cutting-edge Excessive-Efficiency Computing and AI options. At HPE, she has overseen the creation and deployment of AI merchandise to worldwide clients. Her earlier function at Intel noticed her spearheading important developments in Excessive Efficiency Computing, additional solidifying her repute as a frontrunner within the subject. Her ardour for innovation is matched by her dedication to fostering variety and inclusion throughout the tech group, mentoring future leaders, and advocating for equitable alternatives in STEM.

“I’m thrilled to affix the Lumina AI Board,” mentioned Trish Damkroger. “I’m very excited in regards to the Lumina AI expertise that could be a novel strategy to machine studying requiring much less power than present strategies.”

She holds a bachelor’s diploma in electrical engineering from California Polytechnic State College and a grasp’s diploma in electrical engineering from Stanford College. Her intensive background in AI and Excessive-Efficiency Computing positions her uniquely to information Lumina AI because it continues to develop groundbreaking AI applied sciences and options.



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