---
title: "Testing local models for your business used to be an engineering project, but there is actually an easier (and free!) way."
slug: testing-local-models-for-your-business-used-to-be-an-engineering-project-but-there-is-actually-a
source: linkedin
kind: post
publishedAt: 2026-04-25
externalUrl: https://www.linkedin.com/feed/update/urn:li:activity:7453412770059948032
---

Testing local models for your business used to be an engineering project, but there is actually an easier (and free!) way. NVIDIA Build is NVIDIA's public AI model catalog. A browser-based playground plus an OpenAI-compatible API, free wit…

Testing local models for your business used to be an engineering project, but there is actually an easier (and free!) way.

NVIDIA Build is NVIDIA's public AI model catalog. A browser-based playground plus an OpenAI-compatible API, free with just an email. It hosts over a hundred models across text, vision, speech, embeddings, and image generation. The catalog mixes open-source, open-weight, and NVIDIA-proprietary.

The free tier covers a curated subset of NVIDIA's catalog. NVIDIA eats the inference cost because getting millions of developers and executives fluent in their stack is cheaper than winning procurement fights later.

This is a marketing play. Use it while it's free.

Open the page, sign up with an email, and you get a browser playground with 100+ AI models sitting behind it. DeepSeek-R1. Llama 3.3. Qwen 2.5. Mistral. Google's Gemma. MiniMax. NVIDIA's own Nemotron family. You paste in a prompt, pick a model from the dropdown, and read the answer. Then swap in a different one and compare.

𝗛𝗼𝘄 𝘁𝗼 𝘂𝘀𝗲 𝘁𝗵𝗶𝘀

Take the three prompts your marketing team runs every day. The customer-service reply your support team keeps tweaking. The contract summary your legal team keeps asking for. Paste them into five different models in an afternoon. You now know more about which model actually fits your business than most executives still buying AI through vendor demos.

𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀

In the agentic business operating systems we build for clients, model choice is a policy, not a single decision. A different model for drafting than for summarization. A different model for high-volume automation than for customer-facing synthesis. A different failover when your primary vendor has an outage or triples its pricing. Every line of that policy is a decision somebody owns.

You build that policy by benchmarking models preforming the same task A slide deck will not get you there.

𝗔 𝗳𝗲𝘄 𝘁𝗵𝗶𝗻𝗴𝘀 𝘁𝗼 𝗯𝗲 𝗰𝗹𝗲𝗮𝗿 𝗼𝗻

1. NVIDIA's hosting is genuinely good. Same interface across the free playground, self-hosted containers, and enterprise production. No rewrite to scale up.
2. NVIDIA is not the only option. Groq, Together, Fireworks, and OpenRouter run similar playgrounds.
3. The free tier is for testing, not production. Testing is where the strategic decisions get made.

Ask your leadership team one question: when did we last test an alternative model against our real work?