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NVIDIA NeMo Evaluator

developer.nvidia.com

Free plan LinuxAPISelf-hosted
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Spec score 7.6 #12 of 26 in Ai Development Tools

What it is

NVIDIA NeMo Evaluator is a free, open-source service for evaluating generative AI applications, including large language models, retrieval-augmented generation pipelines, and AI agents. Its API accepts an evaluation dataset, model name, and evaluation type, then returns a downloadable archive. Methods include built-in benchmarks such as MMLU, HellaSwag, and GSM8K, exact and fuzzy matching, multiple-choice and numeric checks, code sandbox evaluation, JSON-schema validation, regression comparison, and quality gates. Agent metrics can check whether the expected function and parameters were used. RAG evaluations cover generator, embedding, and reranking models, including offline checks from supplied queries and responses. LLM-as-a-judge supports open-ended assessment, model comparison, RAG, and agent evaluation. It runs on Linux with Docker 23.0.1 or later and Kubernetes 1.26.0 or later, and can deploy on premises or in private or public clouds. The evaluator itself does not require a GPU.

Spec sheet

Purpose
NeMo Evaluator evaluates generative AI applications, including LLMs, RAG pipelines, and AI agents.Read 1 Oct 2026 · developer.nvidia.com
Deployment
Its cloud-native architecture supports deployment on premises, in private clouds, or with public cloud providers.Read 1 Oct 2026 · developer.nvidia.com
Support
NVIDIA provides product support and customer-care chat through its support page.Read 1 Oct 2026 · nvidia.com
Agent evaluation
A custom metric evaluates whether an AI agent called the correct function with the correct parameters.Read 1 Oct 2026 · developer.nvidia.com
Benchmarks
The product supports benchmarks such as MMLU, HellaSwag, and GSM8K for standardized model comparison and regression checks.Read 1 Oct 2026 · developer.nvidia.com
CI/CD integration
NeMo Evaluator can integrate into CI/CD pipelines and data flywheels for continuous evaluation.Read 1 Oct 2026 · developer.nvidia.com
Evaluation API
Its API accepts an evaluation dataset, model name, and evaluation type, then returns results as a downloadable archive.Read 1 Oct 2026 · developer.nvidia.com
GPU requirement
NeMo Evaluator itself does not require a GPU because inference is handled by NIM for LLMs.Read 1 Oct 2026 · docs.nvidia.com
Infrastructure integrations
The microservice uses Argo Workflows, PostgreSQL, Milvus, NeMo Data Store, and NIM for LLMs.Read 1 Oct 2026 · docs.nvidia.com
LLM-as-a-judge
LLM-as-a-judge supports open-ended response assessment, model comparison, RAG evaluation, and agent evaluation.Read 1 Oct 2026 · developer.nvidia.com
Model integration
The customized model evaluated by NeMo can be deployed as NVIDIA NIM microservices.Read 1 Oct 2026 · developer.nvidia.com
Network exposure
NVIDIA says the NeMo microservices are not intended to be internet-facing and should run as the logic tier in a three-tier architecture.Read 1 Oct 2026 · docs.nvidia.com
RAG evaluation
RAG evaluation can assess generator, embedding, and reranking models, including offline evaluation from supplied queries and responses.Read 1 Oct 2026 · developer.nvidia.com
Security limitations
NeMo microservices provide no built-in rate limiting or internal user model, so operators must implement external authentication, authorization, and rate limiting.Read 1 Oct 2026 · docs.nvidia.com
Supported software
Supported software includes Linux, Docker 23.0.1 or later, and Kubernetes 1.26.0 or later.Read 1 Oct 2026 · docs.nvidia.com

Plans and prices

NeMo Evaluator microservice Free research · development · testing Read 1 Oct 2026 · developer.nvidia.com

Every NVIDIA NeMo Evaluator plan and price →

Strong points and limits

Strong points

  • Open-source and free
  • API returns downloadable evaluation results
  • Supports LLM, RAG, and agent evaluation
  • Built-in benchmarks and quality gates
  • Runs on premises or cloud

Limits

  • No built-in rate limiting
  • No internal user model
  • Not intended to be internet-facing
  • Requires external authentication and authorization

Who it suits

NeMo Evaluator suits teams evaluating LLMs, RAG pipelines, and agents across development or production environments. It fits workflows needing benchmarks, automated checks, CI/CD integration, or safety evaluations.

Verdict

NeMo Evaluator provides broad evaluation methods and deployment choices without a license charge. Operators must supply security controls and run the microservices within the stated architecture.

Where Specifiction places it

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