For GeForce RTX users looking for smaller models, Nemotron 3 Nano 4B is the latest model to join the NVIDIA Nemotron 3 family of open models , providing a compact, capable starting point for building agents and assistants locally on RTX AI PCs. The model is a strong fit for building action-taking conversational personas in games and apps that run on resource-constrained hardware. It’s available across any NVIDIA GPU-enabled system and combines state-of-the-art instruction-following and exceptional tool use with minimal VRAM footprint.
In addition, NVIDIA announced optimizations for Alibaba’s Qwen 3.5 models , which have demonstrated outstanding accuracy ( 27B , 9B and 4B ) and are suited for running local agents on NVIDIA GPUs. The new models natively support vision, multi-token prediction and a large 262,000-token context window. The dense 27-billion-parameter model excels when paired with an RTX 5090 GPU.
Users can try these models today via Ollama, LM Studio and llama.cpp, with accelerated inference powered by RTX GPUs and DGX Spark. Learn more about the latest on NVIDIA open models .
LTX 2.3, Lightricks’ state-of-the-art audio-video model, released earlier this month, now has support for NVFP4 and FP8 distilled models, accelerating performance by 2.1x. Learn more about Lightricks’ LTX 2.3 model .
In addition, Black Forest Lab’s FLUX.2 Klein 9B received an update last week, accelerating image editing by up to 2x. NVIDIA has collaborated with Black Forest Labs to release an FP8 version , optimized for the fastest performance and optimal memory consumption on RTX GPUs.
Learn more about NemoClaw . Watch the GTC keynote from NVIDIA founder and CEO Jensen Huang and explore sessions .
As open models make giant leaps, one way of further improving accuracy is fine-tuning, which allows users to customize a model for their own data and use cases. This technique normally requires in-depth technical expertise, coding knowledge and massive amounts of configuration. Unsloth, a leading open source library for model fine-tuning and alignment, today launched Unsloth Studio, an easy-to-use, web-based user interface that simplifies the fine-tuning process for AI enthusiasts and developers.
Unsloth Studio offers support for more than 500 AI models. The simple user interface makes the training and fine-tuning process easy: Users can just drop in their dataset, tap the graph-based canvas to generate additional high-quality synthetic data and start the fine-tuning job. It supports quantized low-rank adaptation, low-rank adaptation and full fine-tuning. As the model is being fine-tuned, users can monitor and visualize job progress. Finally, they can export the model into a framework of choice and chat away, all within the same web app.
Unsloth Studio’s new interface is built on the Unsloth library, which delivers up to 2x faster training with up to 70% VRAM savings, using custom and specialized GPU kernels. This means that new users can get the most out of their NVIDIA RTX GPUs and DGX Spark, right out of the box.
Try Unsloth Studio today , including with new models like Nemotron 3 Nano 4B and Qwen 3.5. Check out other RTX AI Garage posts for more information on fine-tuning models with NVIDIA GeForce RTX GPUs.
✨ RTX AI video generation guide featuring RTX Video in ComfyUI: Launched at CES earlier this year, the new RTX AI video generation guide shows creators and enthusiasts how to go from concept to creation using guided text-to-image workflows to produce keyframes for AI-generated videos, then upscale to 4K with RTX Video technology running on local GPUs. Get started with the guide and share creations on social media with #AIonRTX.
💿 NVIDIA AI for Media is a set of high‑performance, easy‑to‑use software development kits that bring NVIDIA Broadcast-class AI effects — enhanced audio ( Linux or Windows ), video and augmented-reality features — to live media, video conferencing and post‑production workflows. The latest update — available today — adds more accurate lip-syncing, multi‑active-speaker detection, faster 4K upscaling on RTX PRO and GeForce RTX 40 and 50 Series GPUs via the RTX Video Super Resolution feature, better background noise reduction and lower latency for the NVIDIA Studio Voice feature.
💻 NVIDIA DLSS 5 , arriving this fall, delivers an AI-powered breakthrough in visual fidelity for games by infusing pixels with photoreal lighting and materials to bridge the gap between rendering and reality.
🤖 Maxon released Redshift 2026.4 , introducing a new real-time visualization workflow powered by DLSS to allow architects to walk through projects at interactive speed and quality. “NVIDIA’s DLSS technology is a critical component, allowing us to deliver high-quality visuals at interactive speeds,” said Philip Losch, chief technology and AI officer at Maxon.
🪟Reincubate Camo has added Windows ML on NVIDIA TensorRT RTX EP for AI Autotune in its Camo Streamlight app, significantly improving performance on RTX GPUs.
Follow NVIDIA Workstation on LinkedIn and X .
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://blogs.nvidia.com/blog/rtx-ai-garage-gtc-2026-nemoclaw/#primary
- https://blogs.nvidia.com/blog/author/gdelgado/
- https://blogs.nvidia.com/blog/rtx-ai-garage-gtc-2026-nemoclaw/#disqus_thread
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Informational only. No financial advice. Do your own research.