---
title: "NVIDIA API Catalog (NIM) | Ethical Stack"
url: https://ethicalstack.ai/providers/nvidia-nim/
catalog_version: f6baff2119d0e9158520da7fbe4232011dac79f25bd08757436d7a1dbd593db2
---

# NVIDIA API Catalog (NIM)

NVIDIA-hosted API endpoints for selected NIM inference microservices and model catalog entries.

Canonical profile: https://ethicalstack.ai/providers/nvidia-nim/

Scope: NIM endpoints explicitly hosted by NVIDIA in the API Catalog; self-hosted NIM containers and third-party model terms are outside the same service boundary.

Published overall: 4.3; 4/6 dimensions rated.

Round the equal-weight mean of available numerical ratings to one decimal; require at least four of six for an overall score. BDS status stays outside the mean; for eligible profiles, a boycott target caps the final score at 2/10 and a pressure target subtracts one point (minimum 1). Not listed and not checked do not adjust the score.

## Energy practices

Finding: 3/10

Assessment: https://ethicalstack.ai/providers/nvidia-nim/#energy

Public docs establish the NVIDIA-hosted NIM API Catalog endpoint and selected model route; they do not establish its request-level physical footprint. The catalog lets users select a hosted NIM/model endpoint and request parameters; this is a model/workload choice, with no measured physical savings.

Reason: 1 + 1 reporting + 0 electricity + 1 controls = 3/10. This grades documented practices and transparency.

Argument: This practices and disclosure grade covers NVIDIA-hosted NIM API Catalog endpoint and selected model. Public product/API documentation establishes how this route operates and the listed user controls, but gives no measured per-request energy, emissions or water. A corporate electricity claim is not allocated to this route.

Type: argument; confidence: medium

Scope (dimension): NVIDIA-hosted NIM API Catalog endpoint and selected model

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Request-level electricity, emissions, water use, serving utilization and any route-specific clean-power matching are not reported for NVIDIA-hosted NIM API Catalog endpoint and selected model.

```json
{
  "method": "practices-transparency-v1",
  "scope": "NVIDIA-hosted NIM API Catalog endpoint and selected model",
  "components": {
    "disclosure": {
      "score": 1,
      "reason": "Official documentation describes the NVIDIA-hosted NIM API Catalog endpoint and selected model operating boundary, but does not publish a dated quantitative energy, emissions or water result for this route.",
      "sourceUrls": [
        "https://docs.api.nvidia.com/nim/docs/api-quickstart",
        "https://docs.api.nvidia.com/nim/docs/introduction"
      ]
    },
    "electricity": {
      "score": 0,
      "reason": "The reviewed sources do not map NVIDIA-hosted NIM API Catalog endpoint and selected model to a site-specific electricity mix or time-matched clean-power supply.",
      "sourceUrls": [
        "https://docs.api.nvidia.com/nim/docs/api-quickstart",
        "https://docs.api.nvidia.com/nim/docs/introduction"
      ]
    },
    "demand": {
      "score": 1,
      "reason": "The catalog lets users select a hosted NIM/model endpoint and request parameters; this is a model/workload choice, with no measured physical savings.",
      "sourceUrls": [
        "https://docs.api.nvidia.com/nim/docs/api-quickstart",
        "https://docs.api.nvidia.com/nim/docs/introduction"
      ]
    }
  },
  "actualImpactMeasured": false
}
```

- [NVIDIA NIM API Catalog quickstart](https://docs.api.nvidia.com/nim/docs/api-quickstart) (primary; checked 2026-10-24)

- [NVIDIA NIM overview](https://docs.api.nvidia.com/nim/docs/introduction) (primary; checked 2026-10-24)

## Training data

Finding: Depends on the model

Assessment: https://ethicalstack.ai/providers/nvidia-nim/#training-rights

The catalog serves NVIDIA and third-party models; select a model and publisher before assessing the training corpus and license.

Reason: The catalog serves NVIDIA and third-party models; select a model and publisher before assessing the training corpus and license.

Argument: NIM is an inference runtime and API catalog, not one training corpus. NVIDIA documents third-party models in the catalog, so corpus provenance and permissions depend on the model publisher and release.

Type: argument; confidence: medium

Scope (profile): NIM endpoints explicitly hosted by NVIDIA in the API Catalog; self-hosted NIM containers and third-party model terms are outside the same service boundary.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Selected model and release, corpus sources, licenses, post-training data, and publisher controls vary across catalog entries.

```json
{
  "method": "training-rights-evidence-v1",
  "scope": "The stated training release or selected model",
  "components": null,
  "routeDependency": "The catalog serves NVIDIA and third-party models; select a model and publisher before assessing the training corpus and license.",
  "modelReference": null
}
```

- [NVIDIA NIM overview](https://docs.api.nvidia.com/nim/docs/introduction) (primary; checked 2026-10-24)

- [NVIDIA NIM API Catalog quickstart](https://docs.api.nvidia.com/nim/docs/api-quickstart) (primary; checked 2026-10-24)

## Your data & privacy

Finding: Not enough evidence

Assessment: https://ethicalstack.ai/providers/nvidia-nim/#privacy

The API quickstart documents NVIDIA-hosted DGX Cloud inference, but the reviewed general privacy policy does not establish prompt retention or training treatment for each catalog endpoint.

Reason: The route is documented, but an endpoint-specific prompt privacy policy was not established.

Argument: NVIDIA documents that API Catalog requests for the quickstart endpoint run on NVIDIA DGX Cloud and that a developer key is required. The reviewed general privacy policy does not give a sufficiently specific statement about prompt storage, model training, endpoint-specific retention or customer control, so no numeric privacy score is assigned.

Type: argument; confidence: low

Scope (profile): NIM endpoints explicitly hosted by NVIDIA in the API Catalog; self-hosted NIM containers and third-party model terms are outside the same service boundary.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: The model-specific catalog terms, request logging, prompt retention, training use and region for the selected NIM endpoint need confirmation.

- [NVIDIA Privacy Policy](https://www.nvidia.com/en-us/about-nvidia/privacy-policy/) (primary; checked 2026-10-24)

- [NVIDIA NIM API Catalog quickstart](https://docs.api.nvidia.com/nim/docs/api-quickstart) (primary; checked 2026-10-24)

## Openness

Finding: 4/10

Assessment: https://ethicalstack.ai/providers/nvidia-nim/#openness

NIM software can be self-deployed in customer infrastructure, while the API Catalog offers a separate hosted route.

Reason: The software provides deployable containers, but this hosted API route itself is provider-managed.

Argument: NVIDIA documents NIM as containerized inference microservices that customers can deploy in cloud, data center, or workstation environments. This profile is limited to hosted API Catalog endpoints, where NVIDIA controls the serving runtime.

Type: argument; confidence: medium

Scope (profile): NIM endpoints explicitly hosted by NVIDIA in the API Catalog; self-hosted NIM containers and third-party model terms are outside the same service boundary.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: Licensing and deployability vary by model; catalog pages identify third-party models and terms separately.

- [NVIDIA NIM API Catalog quickstart](https://docs.api.nvidia.com/nim/docs/api-quickstart) (primary; checked 2026-10-24)

- [NVIDIA NIM overview](https://docs.api.nvidia.com/nim/docs/introduction) (primary; checked 2026-10-24)

- [NVIDIA Privacy Policy](https://www.nvidia.com/en-us/about-nvidia/privacy-policy/) (primary; checked 2026-10-24)

## Worker protections

Finding: 7/10

Assessment: https://ethicalstack.ai/providers/nvidia-nim/#labour

NVIDIA publishes third-party supplier-audit coverage, worker-protection standards, anonymous grievance channels and specific remediation examples; evidence is concentrated in manufacturing suppliers, not AI annotation labor.

Reason: 1 + 2 pay & conditions + 2 worker voice & remedy + 2 evidence & follow-through = 7/10. This grades documented worker safeguards, not a measured rate of mistreatment.

Argument: NVIDIA’s FY2025 report says third-party RBA Validated Assessment audits covered 48% of strategic suppliers during FY25 and 91% over two years, with corrective-action engagement for all strategic suppliers. Its May 2026 forced-labor statement reports remediating discovered hiring fees, passport/document retention, working hours and penalties for leaving, including worker fee refunds and changed supplier practices. NVIDIA also offers a third-party-hosted anonymous Speak Up line to employees, suppliers and external stakeholders. These are concrete controls and company-reported remediation; they do not disclose annotator conditions or independent worker outcomes across all suppliers. This entry carries the same developer/operator finding to NVIDIA API Catalog (NIM); it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: medium

Scope (dimension): NVIDIA: the documented developer/operator record, not proof of deployment of NVIDIA API Catalog (NIM).

Research reviewed: 2026-10-24; evidence date: not recorded

Unknowns: Audit figures cover strategic manufacturing suppliers, not annotation contractors or all suppliers; remediation details are self-reported, and no worker outcome evaluation independent of NVIDIA was located.

```json
{
  "method": "worker-safeguards-evidence-v1",
  "entity": "nvidia",
  "company": "NVIDIA",
  "scope": "NVIDIA's workforce and disclosed contractors. Coverage of individual product teams may be incomplete.",
  "components": {
    "conditions": {
      "score": 2,
      "reason": "NVIDIA’s standards and audits cover manufacturing suppliers and its current statement describes concrete working-hour, recruitment-fee and document-retention remediation; no AI data-worker conditions are disclosed.",
      "sourceUrls": [
        "https://www.nvidia.com/content/dam/en-zz/Solutions/about-us/documents/2025-Forced-Labor-Human-Trafficking-and-Child-Labor-Statement.pdf",
        "https://images.nvidia.com/aem-dam/Solutions/documents/NVIDIA-Sustainability-Report-Fiscal-Year-2025.pdf"
      ]
    },
    "voice": {
      "score": 2,
      "reason": "NVIDIA describes an anonymous third-party Speak Up line available to employees, suppliers and external stakeholders and non-retaliation protections; public worker usage/outcomes are not reported.",
      "sourceUrls": [
        "https://images.nvidia.com/aem-dam/Solutions/documents/NVIDIA-Sustainability-Report-Fiscal-Year-2025.pdf",
        "https://www.nvidia.com/content/dam/en-zz/Solutions/about-us/documents/2025-Forced-Labor-Human-Trafficking-and-Child-Labor-Statement.pdf"
      ]
    },
    "assurance": {
      "score": 2,
      "reason": "Third-party RBA VAP audit coverage and corrective-action closure are reported for strategic suppliers, with disclosed remediation examples; outcome reporting remains company-authored and scope-limited.",
      "sourceUrls": [
        "https://www.nvidia.com/content/dam/en-zz/Solutions/about-us/documents/2025-Forced-Labor-Human-Trafficking-and-Child-Labor-Statement.pdf",
        "https://images.nvidia.com/aem-dam/Solutions/documents/NVIDIA-Sustainability-Report-Fiscal-Year-2025.pdf"
      ]
    }
  },
  "disclosureLimited": false,
  "meaning": "This grades documented worker safeguards, not a measured rate of mistreatment."
}
```

- [2026 Forced Labor, Human Trafficking, and Child Labor Statement](https://www.nvidia.com/content/dam/en-zz/Solutions/about-us/documents/2025-Forced-Labor-Human-Trafficking-and-Child-Labor-Statement.pdf) (primary; checked 2026-10-24)

- [NVIDIA Sustainability Report Fiscal Year 2025](https://images.nvidia.com/aem-dam/Solutions/documents/NVIDIA-Sustainability-Report-Fiscal-Year-2025.pdf) (primary; checked 2026-10-24)

## Military ties

Finding: 3/10

Assessment: https://ethicalstack.ai/providers/nvidia-nim/#military-contracts

NVIDIA sells government-ready AI infrastructure and publicly supports federal, defense, intelligence, and national-security work, including mission-critical AI, autonomous machines, tactical-edge systems, and classified environments. The reviewed sources do not identify a specific NVIDIA system performing targeting or combat intelligence.

Reason: 1 + 0 use restrictions + 1 enforcement & oversight + 1 relationship disclosure = 3/10. Known defense ties lower this rating; safeguards can improve it within the relationship’s cap.

Argument: NVIDIA's federal materials describe AI for defense and intelligence agencies, tactical-edge deployment, radar and signal processing, autonomous machines including drones, and mission-critical AI across classified environments. This is broad defense enablement, capped at 3/10. NVIDIA publishes security/compliance controls, but the sources reviewed disclose no binding restrictions on weaponization or surveillance and no independent military-use oversight outcomes. This entry carries the same developer/operator finding to NVIDIA API Catalog (NIM); it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: medium

Scope (dimension): NVIDIA: the documented developer/operator record, not proof of deployment of NVIDIA API Catalog (NIM).

Research reviewed: 2026-10-24; evidence date: not recorded

Unknowns: NVIDIA's component hardware and software are used in many downstream systems; specific model deployments, end-use restrictions, actual weapon targeting, and independent outcomes are not established by these sources.

```json
{
  "method": "military-ties-priority-v2",
  "entity": "nvidia",
  "company": "NVIDIA",
  "scope": "NVIDIA's relationships and safeguards. A company relationship does not identify every product or release used.",
  "components": {
    "restrictions": {
      "score": 0,
      "reason": "The reviewed government materials promote broad defense and autonomous-machine uses and contain no relevant weapons or harmful-surveillance prohibition.",
      "sourceUrls": [
        "https://www.nvidia.com/en-us/industries/government/federal/"
      ]
    },
    "oversight": {
      "score": 1,
      "reason": "NVIDIA documents government software security and compliance processes, but these assure technical security and do not establish independent review of military use or published remedies.",
      "sourceUrls": [
        "https://www.nvidia.com/en-us/use-cases/government-ready-ai-software/"
      ]
    },
    "transparency": {
      "score": 1,
      "reason": "NVIDIA identifies government customers, defense/intelligence use cases, and mission capabilities, but not specific military contracts or downstream operational outcomes.",
      "sourceUrls": [
        "https://www.nvidia.com/en-us/industries/government/federal/",
        "https://www.nvidia.com/en-us/about-nvidia/public-sector/"
      ]
    }
  },
  "relationship": "broad-defense",
  "relationshipReason": "NVIDIA openly markets platforms for defense, intelligence, tactical-edge operations, autonomous machines, and classified government missions, but the reviewed evidence does not establish a specific NVIDIA product carrying out targeting or combat intelligence.",
  "score": 3,
  "baseScore": 1,
  "safeguardPoints": 2,
  "safeguardAdjustment": 2,
  "rawScore": 3,
  "cap": 3,
  "disclosureLimited": true,
  "meaning": "Known military relationships take priority over missing safeguards. The rating does not establish the probability of an undisclosed contract."
}
```

- [NVIDIA U.S. federal government offerings](https://www.nvidia.com/en-us/industries/government/federal/) (primary; checked 2026-10-23)

- [Government-Ready AI Software for Global Public Sector](https://www.nvidia.com/en-us/use-cases/government-ready-ai-software/) (primary; checked 2026-10-24)

- [NVIDIA Public Sector](https://www.nvidia.com/en-us/about-nvidia/public-sector/) (primary; checked 2026-10-24)

## BDS targets

Finding: Not listed

Assessment: https://ethicalstack.ai/providers/nvidia-nim/#israel-palestine

We did not find NVIDIA among the named targets in the two official BNC campaign lists checked on 2026-10-23. This is a limited list check, not BDS approval.

Reason: BDS campaign status is a factual category, not a 1–10 ethical rating.

Argument: NVIDIA is not a named target in the checked lists, but BDS uses selective campaigns, so absence cannot establish a clean record. Running downloaded weights locally is a different decision from paying the developer or a cloud host; check the host as well. This entry carries the same developer/operator finding to NVIDIA API Catalog (NIM); it does not establish that this product was deployed under every cited relationship.

Type: evidence; confidence: medium

Scope (dimension): NVIDIA: the documented developer/operator record, not proof of deployment of NVIDIA API Catalog (NIM).

Research reviewed: 2026-10-23; evidence date: not recorded

Unknowns: This review covers the named targets in the BNC consumer/pressure guide and No Tech campaign, not every BDS campaign, local group, investment or supplier. Lists and ownership can change. A company’s absence from these lists is not an endorsement or proof that it has no relevant relationships.

- [BNC target list (not checked for this company)](https://bdsmovement.net/Guide-to-BDS-Boycott) (campaign; checked 2026-10-24)

- [BNC target list (not checked for this company)](https://bdsmovement.net/no-tech-oppression-apartheid-or-genocide) (campaign; checked 2026-10-24)

## Reading the evidence

- Assessments are provisional editorial judgments. Cite the profile and the underlying sources, and retain confidence, scope and unknowns.

- Unknown, not-applicable and model-dependent are different states. Missing evidence does not establish good or bad conduct.

- Company-level evidence does not establish use of a particular product or model. Account plan, model, host and route can change an assessment.

- Energy scores describe documented practices and transparency, not measured request emissions. Zero component points can mean an evidence gap.

- Published overall scores require at least four of six numerical dimensions. Preserve coverage and BDS adjustments; BDS itself is categorical.

- No named BDS target found is limited to the reviewed campaign sources and is not approval. Personalized priorities do not change the published overall score.

- Review and source-check dates describe the research, not this deployment. Fetch current primary sources when the decision requires current verification.

Methodology: https://ethicalstack.ai/methodology/