Agentic AI Takes Center Stage at NVIDIA GTC
NVIDIA GTC is currently showcasing a significant expansion in agentic AI capabilities, introducing new open models and tools designed to empower local AI agents. Leading this wave are the new NVIDIA Nemotron 3 Nano 4B and Nemotron 3 Super 120B models, specifically developed for local agent applications. NVIDIA has also announced optimizations for existing popular models, including Qwen 3.5 and Mistral Small 4. A key development is the introduction of NVIDIA NemoClaw, an open-source stack built to deploy optimizations for OpenClaw on NVIDIA hardware. Further enhancing the ecosystem, Unsloth Studio has been launched, streamlining the process of fine-tuning AI models. To foster community engagement, NVIDIA is hosting a daily “build-a-claw” event that runs through March 19.
The release of Nemotron 3 Super, a powerful 120‑billion‑parameter open model, occurred last week, alongside the availability of Mistral Small 4, an 119-billion-parameter open model. NVIDIA has further committed to supporting the open-source community by announcing optimizations for Alibaba’s Qwen 3.5 models. In the realm of creative tools, LTX 2.3, Lightricks’ audio-video model, now offers support for NVFP4 and FP8 distilled models. Black Forest Lab’s FLUX.2 Klein 9B also received an update. NVIDIA NemoClaw is designed to facilitate the deployment of OpenClaw optimizations across NVIDIA devices, ensuring enhanced performance for local agents.
Democratizing Local AI Agents with New Models and Tools
The growing adoption of agentic systems, such as OpenClaw, highlights a shift in personal computing towards dedicated “agent computers.” Devices like the NVIDIA DGX Spark desktop AI supercomputer and specialized NVIDIA RTX PCs are becoming ideal platforms for running personal agents locally, offering enhanced privacy and eliminating token costs associated with cloud-based solutions. This trend is fueled by new open models that deliver cloud-level quality directly to local agents. The advancement of local models, featuring increasingly large context windows, provides the intelligence required to run sophisticated agents directly on personal computers.
The Nemotron 3 Super model is particularly suited for powering agents on the DGX Spark or NVIDIA RTX PRO workstations. For users with GeForce RTX hardware seeking more compact solutions, the Nemotron 3 Nano 4B is the latest addition to the NVIDIA Nemotron 3 family. This model serves as a capable starting point for building agents and assistants locally on RTX AI PCs. Its design makes it well-suited for developing conversational personas in games and applications that operate on resource-constrained hardware. Available across any NVIDIA GPU-enabled system, it offers state-of-the-art instruction-following and tool use with minimal VRAM requirements. The dense 27-billion-parameter model demonstrates exceptional performance when paired with an RTX 5090 GPU. Users can access these models through platforms like Ollama, LM Studio, and llama.cpp, with accelerated inference powered by RTX GPUs and DGX Spark.
Fine-Tuning and Creative Workflows Enhanced with RTX Technology
The development of faster creative AI is being propelled by the latest RTX-optimized models. AI developers and enthusiasts are increasingly investing in DGX Spark supercomputers or building dedicated RTX PCs to run autonomous AI agents, such as OpenClaw, which can automate daily tasks by drawing context from personal files, applications, and workflows. Addressing concerns about token costs, security, and privacy, NVIDIA NemoClaw provides a solution that includes NVIDIA Nemotron open models and the NVIDIA OpenShell runtime. Nemotron local models allow for inference to be run directly on user systems, ensuring enhanced privacy and eliminating token fees. OpenShell is engineered as a secure runtime environment for executing claws.
Fine-tuning is identified as a crucial method for improving AI model accuracy, enabling customization for specific data and use cases. However, this process traditionally demands significant technical expertise and configuration. Unsloth Studio aims to simplify this by supporting over 500 AI models through an intuitive user interface. The platform allows users to monitor and visualize job progress during fine-tuning and export models into their preferred frameworks, all within a single web application. This accessibility empowers new users to maximize the potential of their NVIDIA RTX GPUs and DGX Spark. The recently launched RTX AI video generation guide assists creators in producing AI-generated videos, from concept to 4K upscaling using RTX Video technology on local GPUs.
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