NVIDIA NeMo Evaluator
NVIDIA NeMo Evaluator is an open-source service for assessing generative AI applications, including language models, RAG pipelines, and agents.
What NVIDIA NeMo Evaluator is
NVIDIA NeMo Evaluator is an open-source service for assessing generative AI applications, including language models, RAG pipelines, and agents. Its API accepts an evaluation dataset, model name, and evaluation type, then returns results in a downloadable archive. It supports benchmarks such as MMLU, HellaSwag, and GSM8K, along with exact or fuzzy matches, code sandbox checks, JSON-schema validation, regression comparisons, and quality gates. Agent metrics can check function selection and parameters; RAG evaluation can cover generator, embedding, and reranking models, including offline checks from supplied queries and responses. LLM-as-a-judge supports open-ended assessment, comparison, RAG, and agent evaluation. The cloud-native service can run on premises, private clouds, or public cloud providers, and integrate with CI/CD pipelines and data flywheels. It supports Linux, Docker 23.0.1 or later, and Kubernetes 1.26.0 or later. The evaluator itself does not need a GPU because inference is handled by NIM for LLMs. NeMo Evaluator is free; its microservice plan is listed as free for research, development, and testing.
Good
- Supports benchmarks including MMLU, HellaSwag, and GSM8K.
- Evaluates agents and RAG pipelines.
- Can integrate with CI/CD pipelines.
- The evaluator itself does not require a GPU.
- Free and open source.
Watch out
- No built-in rate limiting or internal user model.
- Operators must implement external authentication and authorization.
- Microservices are not intended to be internet-facing.
Who it suits
NeMo Evaluator may suit developers and teams evaluating LLMs, RAG pipelines, or AI agents, including those who want to connect checks to CI/CD. Operators should account for its security requirements, including external authentication, authorization, and rate limiting.
Verdict
NeMo Evaluator offers varied evaluation methods and deployment options for generative AI applications. Its microservices require operators to handle security controls and keep them out of direct internet-facing deployment.
Plans and prices
From NVIDIA NeMo Evaluator's own pricing page, checked 1 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| NeMo Evaluator microservice | Free | research · development · testing |
The facts
Each one read from NVIDIA NeMo Evaluator's own pages, with the date it was checked.
What it does
- Agent evaluation
- A custom metric evaluates whether an AI agent called the correct function with the correct parameters.checked 1 Oct 2026
- Benchmarks
- The product supports benchmarks such as MMLU, HellaSwag, and GSM8K for standardized model comparison and regression checks.checked 1 Oct 2026
- CI/CD integration
- NeMo Evaluator can integrate into CI/CD pipelines and data flywheels for continuous evaluation.checked 1 Oct 2026
- Deployment
- Its cloud-native architecture supports deployment on premises, in private clouds, or with public cloud providers.checked 1 Oct 2026
- Evaluation API
- Its API accepts an evaluation dataset, model name, and evaluation type, then returns results as a downloadable archive.checked 1 Oct 2026
- GPU requirement
- NeMo Evaluator itself does not require a GPU because inference is handled by NIM for LLMs.checked 1 Oct 2026
- Infrastructure integrations
- The microservice uses Argo Workflows, PostgreSQL, Milvus, NeMo Data Store, and NIM for LLMs.checked 1 Oct 2026
- LLM-as-a-judge
- LLM-as-a-judge supports open-ended response assessment, model comparison, RAG evaluation, and agent evaluation.checked 1 Oct 2026
- Model integration
- The customized model evaluated by NeMo can be deployed as NVIDIA NIM microservices.checked 1 Oct 2026
- 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.checked 1 Oct 2026
- Purpose
- NeMo Evaluator evaluates generative AI applications, including LLMs, RAG pipelines, and AI agents.checked 1 Oct 2026
- RAG evaluation
- RAG evaluation can assess generator, embedding, and reranking models, including offline evaluation from supplied queries and responses.checked 1 Oct 2026
- Security limitations
- NeMo microservices provide no built-in rate limiting or internal user model, so operators must implement external authentication, authorization, and rate limiting.checked 1 Oct 2026
- Support
- NVIDIA provides product support and customer-care chat through its support page.checked 1 Oct 2026
- Supported software
- Supported software includes Linux, Docker 23.0.1 or later, and Kubernetes 1.26.0 or later.checked 1 Oct 2026
Alternatives to NVIDIA NeMo Evaluator
- 1
Dify
Free planOpen sourceWebAPIExtensionLinux8.4From $590 a year - 2
Replit
Free planAndroidiOSWebLinux8.4From $18 a month - 3
Cursor
Free planiOSWebAPILinux8.3From $8 a month - 4
Bolt.new
Free planAndroidiOSWeb7.6From $25 a month - 5
Flowise
Free planWebAPILinuxmacOS7.2From $35 a month - 6
OpenHands
Free planAndroidiOSWebAPI7.2Free plan