NVIDIA NeMo Evaluator

NVIDIA NeMo Evaluator is ranked #13 of 30 in AI LLM evaluation tools on The Geeks Club. It runs on API, Linux, Self-hosted. There is a free plan.

NVIDIA NeMo Evaluator plans and pricing

All plans

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

Compared on AI LLM evaluation tools

Evaluation methods: Built-in benchmarks, exact match, fuzzy match, multiple-choice regex, answer-line, numeric match, code sandbox, LLM-as-judge, JSON-schema validation, regression comparison, quality gates
Model support: OpenAI-compatible model endpoints, NVIDIA API Catalog, vLLM, NIM, local vLLM, SGLang, TensorRT-LLM, vision-language models
Safety evaluations: Yes
Deployment: self-hosted
Prompt versioning: No
API access: Yes

Best NVIDIA NeMo Evaluator alternatives

See all 12

8.0 Weights & Biases Free plan

7.9 Evidently AI Free plan

7.7 Opik Free plan

7.6 Maxim AI Free plan

7.4 Vellum Free plan

7.3 Promptfoo Free plan

NVIDIA NeMo Evaluator

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

Visit site Alternatives

Where it ranks on The Geeks Club

Best AI LLM Evaluation Tools in 2026#13 of 30

Is NVIDIA NeMo Evaluator yours?

Claim it for free: prove the domain, then correct facts, plans and screenshots. An editor reviews every change.

Claim it free Promote NVIDIA NeMo Evaluator

Sources

developer.nvidia.com/nemo-evaluator/· checked 1 Oct 2026
docs.nvidia.com/nemo/microservices/25.4.0/evaluate/supp· checked 1 Oct 2026
docs.nvidia.com/nemo/microservices/25.9.0/set-up/securi· checked 1 Oct 2026
nvidia.com/en-us/contact/· checked 1 Oct 2026