Nvidia debuts Nemotron-Nano-9B-v2, a hybrid Mamba-Transformer model, saying it achieves comparable or better accuracies than Qwen3-8B on reasoning benchmarks

Small models are having a moment. On the heels of the release of a new AI vision model small enough to fit on a smartwatch …

VentureBeat 2025-08-19 Carl Franzen

Context & Ripple Effects

Nvidia had already positioned Nemotron across Nano, Super and Ultra sizes through its earlier Llama and Cosmos Nemotron releases, tying model releases to its broader AI platform.

This smaller hybrid model is an early point in an architecture path that later extended into the Nemotron 3 family’s hybrid designs. Its significance is less the single benchmark claim than Nvidia’s effort to make efficient reasoning models part of its stack.

First-order effects

Nvidia adds a 9B-parameter Nemotron option built around a Mamba-Transformer hybrid, giving developers a new Nvidia-branded model choice for reasoning-oriented workloads.
Qwen3-8B becomes the named comparison point: Nvidia’s claimed benchmark parity or lead raises the bar for small-model reasoning evaluations.

Second-order effects

Teams selecting compact reasoning models can compare more architectures rather than treating parameter count alone as a proxy for capability, increasing pressure on model vendors to demonstrate efficiency alongside accuracy.
The release reinforces Nvidia’s ability to pair model development with its compute platform, while competing small-model providers face a more integrated Nvidia alternative.

Third-order effects

If hybrid architectures continue to deliver competitive reasoning in smaller models, model selection may increasingly hinge on workload efficiency and deployment fit rather than a single dominant transformer design.
Nvidia’s continuing Nemotron releases point toward a more vertically integrated AI stack in which chip suppliers compete through models and developer distribution as well as hardware.

The trend: Small reasoning models are becoming a strategic layer of the AI stack, with hybrid architectures used to pursue better capability-per-deployment cost.

Discussion

@timkellogg.me Tim Kellogg on bluesky
Nemotron Nano 2 — a 9B Mamba (RNN) / Transformer hybrid architecture reasoning model from NVIDIA that beats an equivalent Qwen — 6x the throughput though, bc it's Mamba — research.nvidia.com/labs/adlr/ NV... [image]
@natolambert Nathan Lambert on x
Nvidia dropping model that rivals qwen 3 8b, with data, with base model, not that bad of a license (could be better to be clear) a big win, love to see it. Hopefully is well integrated into open tools and “easy to finetune” etc, which is hard to measure
@kuchaev Oleksii Kuchaiev on x
We are excited to release Nvidia-Nemotron-Nano-V2 model! This is a 9B hybrid SSM model with open base model and training data. This model also supports runtime “thinking” budget control. HF collection with base and post trained models: https://huggingface.co/... [image]
@benbajarin Ben Bajarin on x
These look well suited for AI PCs 🙂
@ctnzr Bryan Catanzaro on x
Today we're releasing NVIDIA Nemotron Nano v2 - a 9B hybrid SSM that is 6X faster than similarly sized models, while also being more accurate. Along with this model, we are also releasing most of the data we used to create it, including the pretraining corpus. Links to the mode…
@jeremyphoward Jeremy Howard on x
This looks like a really big deal! :O And it's under a commercially-usable open license.
@teknium1 @teknium1 on x
Looks pretty good - glad to see a pretraining dataset release. I do hear its a lot of synthetically rewritten texts which.. will hurt creativity probably. But, qwen also does this so in that dimension its good!
@scaling01 @scaling01 on x
Nvidia is stepping up while Meta is is eating crayons [image]
@lessin @lessin on x
Ah, how quaint - a ‘classic’ Nvidia headline from the 2010s in 2025... not the word AI in sight! just good old games and graphics. [image]
@comcast @comcast on x
Excited about our partnership with @NVIDIAGFN, ensuring consistent, low-lag broadband for cloud gaming at home or on the go! #BlackwellonGFN
@maxwinebach Max Weinbach on x
GeForce Now got a pretty big upgrade with RTX 5080s now powering the Ultimate machines, and better access to more games via install to play They've also improved latency and quality on it! Can not wait to try it out
@nvidiagfn @nvidiagfn on x
🎉Big news: NVIDIA Blackwell RTX is coming to #GeForceNOW 💚 What this means... ✅ GeForce RTX 5080-class GPUs are joining the Ultimate fleet ✅ New Install-to-Play multiplies your cloud library with access to over 2500 more Steam games ✅ More frames on more devices... 90 FPS on Stea…
@tomwarren Tom Warren on x
Nvidia's GeForce Now is upgrading to RTX 5080 GPUs and opening a floodgate of new games. You'll also be able to stream at 5K resolution (for both 16:9 monitors and ultrawides) at 120fps, or at up to 360fps at 1080p. Details 👇https://www.theverge.com/ ...
@tomwarren Tom Warren on x
Nvidia's PC app is getting a global DLSS override feature. It's part of a big update to the Nvidia app, which also includes more Nvidia control panel features. Details 👇https://www.theverge.com/ ...
r/nvidia r on reddit
NVIDIA App Update Adds Global DLSS Overrides, Smooth Motion For GeForce RTX 40 Series GPUs, Project G-Assist Enhancements & More
@seanhollister Sean Hollister on bluesky
If you've read me for a while you know I have *thoughts* on cloud gaming. Well, here's the biggest upgrade to cloud gaming in years: www.theverge.com/news/760219/ ...
r/TechHardware r on reddit
NVIDIA selects AMD Zen 5 CPU for the next generation of GeForce NOW
r/nvidia r on reddit
NVIDIA Blackwell Architecture Comes to GeForce NOW

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