Mark Lohmeyer leads the Compute and AI Infrastructure business for Google Cloud. In this role, he is responsible for the Google Cloud Compute Engine, AI/ML infrastructure (Cloud TPU and GPU), Core ML services, block storage (Persistent Disk and Hyperdisk), and enterprise solutions (SAP on GCP, Google Cloud VMware Engine, etc.)
Mark’s background includes leadership roles in general management, product management, marketing, business development, and engineering management, across a wide range of core infrastructure technologies, including compute, storage, and networking.
Prior to joining Google, Mark was the SVP/GM of VMware’s Cloud Infrastructure Business Group. In this role, he led a large-scale, global organization, spanning engineering, operations, product management, and product marketing for the VMware infrastructure portfolio across Private Clouds, Public Clouds, and Cloud Provider Partners / Sovereign Clouds.
Prior to VMware, Mark led the product team for Enterprise WAN and Routing at Cisco and was the GM for HA/DR and Storage solutions at Veritas Software. Earlier in his career, he worked on storage I/O hardware at Adaptec, and digital imaging research and hardware design at the Sarnoff Research Labs, and holds a patent based on this work.
Mark holds a Bachelor's and Master's degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, where he also served as the head teaching assistant for Computational Structures.
Recent Videos
Agentic Infrastructure at Scale: Inside Google Cloud’s AI Hypercomputer and TPU-8 Infrastructure
Mark Lohmeyer, VP/GM of AI and Computing Infrastructure at Google Cloud, joins Patrick Moorhead live at Google Cloud Next 2026 to examine the infrastructure architecture behind the agentic era. The conversation covers the TPU-8T and TPU-8I split, the Virgo accelerator network, Managed Lustre storage performance, NVIDIA Vera Rubin integration, and the evolution of GKE into an agent-native orchestration platform built for bursty, high-parallelism workloads.
Google's Workload Optimized Infrastructure at Next '25 - Six Five On The Road
Mark Lohmeyer, VP & GM Compute and ML Infrastructure at Google, joins the Six Five team to explore how Google Cloud's customized infrastructure meets the diverse needs of AI and cloud workloads.
Six Five Summit Sessions
Adaptive Applications: The Next Phase of Enterprise AI
In this conversation, we examine how enterprises are evolving from deploying AI models to building adaptive applications that can continuously respond to changing data, users, and business needs. As AI adoption accelerates, organizations are shifting their focus from model experimentation to operationalizing intelligent applications at scale. The discussion explores the orchestration, platform capabilities, and operational approaches required to move AI from isolated pilots into production.
Decode Summit Sessions
