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# "OpenAI/Microsoft Mt Pleasant, Wisconsin Phase 1"

Facility record `fac-epoch-gc-openai-microsoft-mt-pleasant-wisconsin-phase-1` — data source: epoch-gpu-clusters (https://web.archive.org/web/20240717135010/https://www.tomshardware.com/tech-industry/artificial-intelligence/openai-and-microsoft-reportedly-planning-dollar100-billion-datacenter-project-for-an-ai-supercomputer); authority tier 2; contains estimated values (is_estimated: true)

| Field | Value |
| --- | --- |
| Type | ai training |
| Status | announced |
| Location | Mt Pleasant, US |
| Power capacity | 300 MW |
| IT load | not published |
| GPU count | 150,000 |
| Peak PFLOPS (FP16) | 375,000 |
| Owner | OpenAI |
| Operator | not published |
| Announced | not published |
| Operational | not published |

## Data-quality flags

- chip_count_power_derived_estimate

## Cite

> Scrutica, ""OpenAI/Microsoft Mt Pleasant, Wisconsin Phase 1"" (facility record), https://scrutica.com/facilities/fac-epoch-gc-openai-microsoft-mt-pleasant-wisconsin-phase-1; data source: epoch-gpu-clusters; accessed 2026-07-27.

Full interactive record: https://scrutica.com/facilities/fac-epoch-gc-openai-microsoft-mt-pleasant-wisconsin-phase-1 · Methodology for derived values: https://scrutica.com/methodology#flop-estimation · All programmatic surfaces: https://scrutica.com/agents