Cloud infrastructure
10 GPU capacity planning experts
These ten professionals have planned, forecast or delivered GPU and AI compute capacity as part of their own infrastructure, supply chain and program management roles. Readers can learn how GPU demand forecasts, supply constraints and allocation decisions come together in practice.
Professionals to explore
01—10Isabelle Munn
LinkedInExperience: DGX Cloud Technical Program Management Leader · NVIDIA
DGX Cloud Technical Program Management Leader at NVIDIA since December 2025, after serving as Sr. Director Cloud Infrastructure Engineering at Microsoft (2023–2025). The profile headline lists DGX Cloud, GPU capacity, data center delivery and hyperscale operations. Isabelle Munn also held the role of Sr. SW Engineering Manager, User Protections at Google (2016–2024).
Jennifer Hibbetts
LinkedInExperience: Principal Program Manager · Microsoft
Former Principal Program Manager at Microsoft (2019–2026); Senior Manager, Customer Program Management Datacenter Engineering and Operations at NVIDIA since August 2026. The profile describes leading cross-functional teams to deliver Nvidia and AMD GPU capacity solutions, Azure AI infrastructure programs and resource optimization, and aligning business, finance, engineering and global data center buildout strategies.
Jimmy P.
LinkedInExperience: Technical Program Manager - AI Compute Capacity Delivery · Amazon Web Services (AWS)
Technical Program Manager - AI Compute Capacity Delivery at Amazon Web Services (AWS) since May 2025. The profile describes owning end-to-end AI/ML compute capacity delivery across a global data center fleet, including GPU/server capacity planning and delivery, data center operations and hyperscale capacity expansions. It also lists Supply Chain Manager - Demand Planning & Analytics at Amazon (2024–2025).
Kedar Upasani
LinkedInExperience: Sr Manager Team Lead - Capacity Planning & S&OP · AMD
Sr Manager Team Lead - Capacity Planning & S&OP at AMD since January 2025, where the profile describes heading High Performance Computing (HPC) and Accelerators (AI/ML GPU) capacity planning and leading a team that manages long-term capacity, capex and S&OP. Before AMD, Sr Technical Infrastructure Program Manager (Sr TIPM) - GenAI ML EC2 (2023–2025) and Supply Chain Planning Manager (2020–2023) at Amazon Web Services (AWS).
Manjunath Shivanna
LinkedInExperience: HPC Architect, AI Infrastructure · NVIDIA
HPC Architect, AI Infrastructure at NVIDIA since July 2021, alongside the role of Director, IT Infrastructure Operations at NVIDIA held since October 2017. The profile says the team is responsible for AI infrastructure including GPU scheduler maintenance, extending scheduler functionality, capacity planning, high performance storage, InfiniBand and performance benchmarking. Earlier NVIDIA roles include Sr Manager, Datacenter Operations (2012–2017).
Michelle K. Powers
LinkedInExperience: Program Manager - Machine Learning Supply Chain & Operations Planning · Google
Program Manager - Machine Learning Supply Chain & Operations Planning at Google since February 2024. The profile headline lists GPU capacity and supply strategy and scaling ML compute, and the summary describes a focus on AI infrastructure capacity strategy at Google, leading GPU demand and supply. Before Google, Supply Chain Planning Manager - Wireline Network Infrastructure at AT&T (2022–2024).
Nathan Conway
LinkedInExperience: Manager, ML GPU Planning · Google
Manager, ML GPU Planning at Google since June 2026, after serving as Senior Program Manager, ML GPU Planning Lead at Google (May–June 2026). Before that, Program Manager III, Machine Learning Demand Planning (2024–2026) and Program Manager II, Machine Learning Demand Planning (2022–2024) at Google. The profile also lists Program Manager II, NPI Engineering at Microsoft (2021–2022).
Sandy Mohanakumar
LinkedInExperience: Compute Capacity Planning · OpenAI
Compute Capacity Planning at OpenAI since September 2025, where the profile describes leading compute capacity strategy and planning for production inference, translating product and model demand into infrastructure requirements and allocation decisions, and shaping GPU fleet strategy. Before that, Staff Program Manager AI ML Infrastructure Strategy & Capacity Planning (2024–2025) and Program Manager III AI ML Infrastructure Capacity Planning (2022–2024) at Google.
Sibel Aktas Egilmez, PMP
LinkedInExperience: Senior Demand Forecasting Manager - AI GPU Planning · Microsoft
Senior Demand Forecasting Manager - AI GPU Planning at Microsoft since January 2026. The profile also lists Senior Technical Program Manager, Cloud Supply Chain(CSCP) at Microsoft from 2024, Senior Global Supply Chain Strategist, Surface Accessories at Microsoft (2021–2024) and Senior Sales & Operations Planning (S&OP) Manager at Philips (2019–2021), with demand forecasting and demand planning among its listed skills.
Vivek Chander Selva Kumar
LinkedInExperience: Demand & Supply Planning Manager, AI & Compute · Meta
Demand & Supply Planning Manager, AI & Compute at Meta (2022–2026); Program Manager, Demand & Supply planning at Google since January 2026. The profile describes steering commodity planning at Meta with a focus on commodities such as GPU, NIC, power and liquid cooling systems, covering strategic sourcing and production planning. It also lists supply chain roles at Avnet (2019–2022).
Choose the right perspective
Match the person's vantage point to your decision: demand forecasters and capacity planners suit questions about sizing and timing GPU purchases, while program and delivery leads suit questions about bringing capacity online in data centers. Check role dates, because GPU supply conditions and hardware generations change quickly.
Questions to take into the conversation
- 01How do you translate model training and inference roadmaps into a GPU capacity forecast, and how far ahead do you plan?
- 02When GPU supply is constrained, how do you decide which teams or workloads get capacity first?
- 03What signals tell you a capacity plan is off track, and how do you rebalance between owned, reserved and on-demand GPU capacity?
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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