01What is Nvidia Nemotron 3 embed 8b?
Nvidia Nemotron 3 embed 8b is an embedding model that turns text into numbers so AI can find the right information fast. It currently holds the number one spot on the RTB leaderboard, which ranks how well AI retrieves information from large datasets. This model is open and available now.
An embedding model works like a filing cabinet. Without it, finding one page in a million is impossible. With it, every piece of text gets labeled and grouped by meaning.
When you ask a question, the AI checks where your question sits and pulls the closest matches in seconds.
Nemotron 3 embed 8b is the memory part of an AI system. It lets a big model like Qwen 3.8 remember past chats, documents, and client files. This makes AI far more useful for real businesses.
02Key features of Nemotron 3 embed 8b
Nemotron 3 embed 8b is built for speed and accuracy. It tops the RTB leaderboard, beating both open and closed models. That means it finds the correct piece of text out of a huge pile more reliably than anything else tested.
- Available in two sizes: the 8b model and a 1b version that keeps about 95% accuracy but runs faster and lighter.
- An optimized version for Nvidia's Blackwell chips runs twice as fast with minimal accuracy loss.
- Fully open, so you can download and use it now on Hugging Face.
These features matter because most businesses don't need the biggest model. They need one that feels instant. The 1b version and the Blackwell variant make that possible.
This model is the retrieval side of AI. It works with thinking models like Qwen 3.8 to give them memory. That combination is what makes AI agents useful every day.
03How to get started with Nemotron 3 embed 8b
- Go to Hugging Face and search for 'Nemotron 3 embed 8b'.
- Download the model. There is no waiting list because it is fully open.
- Choose the 8b version for maximum accuracy, or the 1b version for faster, lighter performance.
- If you have Nvidia Blackwell chips, download the Blackwell-optimized version for double speed.
- Set up an embedding pipeline: feed your documents, text, or files into the model to convert them into numbers.
- Pair it with a large language model like Qwen 3.8 to create a memory system.
- Test it with a question to see how it retrieves the closest matches.
You don't need to code to use this in a business context. Tools and platforms can handle the technical setup. But if you build things yourself, the steps above are straightforward.
04Using Nemotron with Qwen 3.8 for a memory system
In this episode, Julian Goldie showed how Nemotron 3 embed 8b and Qwen 3.8 work together. Qwen 3.8 is the brain that thinks and writes. Nemotron is the memory that remembers.
Without memory, a big brain forgets everything the second the chat closes.
Here is a real use case. Imagine a community full of business owners learning AI automation. You have hundreds of coaching calls, tutorials, and roadmaps.
Right now, finding the right one means scrolling and guessing. Add Nemotron on top, and a member can type a question like 'how do I set up a lead system with automation?' The exact right video pops up in seconds.
That is not a future idea. That is what this tech is built for today. You can connect it to your own content, client files, and automations so nothing gets lost.
To use it, feed all your documents and files into the embedding model. Then, when a user asks something, the system retrieves the most relevant piece. Then the thinking model (like Qwen) uses that piece to generate a helpful answer.
05Results and performance compared to others
Nemotron 3 embed 8b is number one on the RTB leaderboard. That includes all open and closed models tested. It outperforms every other model in finding the right information out of a large pile of text.
The 1b version keeps about 95% of the accuracy. That's a small drop for a big speed gain. The Blackwell-optimized version runs twice as fast while barely losing any accuracy.
Qwen 3.8 has 2.4 trillion parameters, making it the biggest Alibaba model ever. It handles text, images, videos, and documents. Alibaba claims it is second only to Claude Fable 5 in overall ability.
But those benchmarks are not published yet, so treat that claim with caution.
Kimi K3 also launched with 2.8 trillion parameters and is fully open. Qwen 3.8 is still closed, but the openweight version is coming soon. Nemotron is already fully open today.
06Tips, limits, and mistakes to avoid
One big mistake is assuming the biggest model is always the best. A giant model that forgets everything isn't useful for a real business. Pair it with a strong retrieval system like Nemotron to make it practical.
- Don't wait for Qwen 3.8 to be open. Nemotron is available now, so start testing it.
- Ignore the 'second only to Claude Fable 5' claim until independent benchmarks appear. It's just a claim right now.
- Don't ignore the 1b version. It's faster and lighter, which often matters more than a tiny accuracy boost.
- If you have Blackwell chips, use the Blackwell version for a big speed gain.
Think about which parts of your business are just people searching for information that already exists. That's what this tech removes. Start with your best scripts, offers, and past client questions.
07Who should use Nemotron 3 embed 8b and why it matters
If you build things yourself, go get Nemotron 3 embed 8b now. It's open on Hugging Face with no waiting. If you run a business and don't touch code, don't worry about the technical side, but know this: tools that remember your business are becoming more useful than tools that just chat.
If you manage a team, this is the moment to ask which daily tasks are just searching for information that already exists. That's the task this tech removes. It saves you from digging through old files every day.
The AI world used to reward whoever had the biggest model. Now it's shifting to whoever has the best memory. A model paired with strong retrieval becomes genuinely useful every single day.
That's why Nemotron matters.
Julian Goldie's digital avatar discussed this in the episode. He also mentioned that inside the AI Profit Boardroom, members are building a full playbook around Qwen 3.8 and Nemotron together. They offer coaching calls and tutorials to help you set it up.
