<!--
Source: https://scrutica.com/facilities/fac-epoch-gc-nvidia-in-house-dgx-a100-cluster
Format: native markdown twin rendered from the same data modules as the page (not an HTML conversion).
Machine access: https://scrutica.com/api/mcp (MCP) · https://scrutica.com/agents (all surfaces)
-->

# NVIDIA In-house DGX A100 Cluster

Facility record `fac-epoch-gc-nvidia-in-house-dgx-a100-cluster` — data source: epoch-gpu-clusters (https://web.archive.org/web/20241129110307/https://fedscoop.com/argonne-national-lab-ai-supercomputer/); authority tier 2; contains estimated values (is_estimated: true)

| Field | Value |
| --- | --- |
| Type | ai training |
| Status | operational |
| Location | US |
| Power capacity | 0.3 MW |
| IT load | not published |
| GPU count | 400 |
| Peak PFLOPS (FP16) | 124.8 |
| Owner | Nvidia |
| Operator | not published |
| Announced | not published |
| Operational | 2020-05-14 |

## Cite

> Scrutica, "NVIDIA In-house DGX A100 Cluster" (facility record), https://scrutica.com/facilities/fac-epoch-gc-nvidia-in-house-dgx-a100-cluster; data source: epoch-gpu-clusters; accessed 2026-07-27.

Full interactive record: https://scrutica.com/facilities/fac-epoch-gc-nvidia-in-house-dgx-a100-cluster · Methodology for derived values: https://scrutica.com/methodology#flop-estimation · All programmatic surfaces: https://scrutica.com/agents