> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/dsx/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/dsx/_mcp/server.

# General Expectations

> Application Note defining the partner-run qualification process for Battery Energy Storage Systems intended to support AI load buffering, demand response, and low voltage ride-through.

Partners must follow this guideline exactly. Submissions must be clear, complete, and technically defensible.

## Minimum Expectations

* All acronyms defined on first use
* All tests include raw time-series data at required sampling rates
* All plots include axis units, ranges, and timestamps
* Any deviation from requirements requires a written deviation request and proposed mitigation
* Partners must provide both:
  * Hardware test evidence (bench, HIL, factory test, or field test), and
  * Model evidence (EMT modeling + small-signal) for untestable edge cases
* Submissions must include all information necessary and sufficient to demonstrate compliance

#### No Marketing Claims Accepted

If a capability is claimed, it must be demonstrated with data and/or validated models.

## Confidentiality

All materials provided under this qualification process are treated as NVIDIA Confidential and subject to applicable non-disclosure agreements.

* Partners may designate proprietary implementation details (e.g., controller source code, internal firmware) as restricted
* Measured performance data, test results, and qualification outcomes are not considered proprietary
* Encrypted or compiled models are acceptable, provided they are runnable and allow modification of external grid and load parameters
* Claims of confidentiality may not be used to withhold data required to verify compliance