AI developer activity on PCs is surging due to advancements in small language models (SLMs) and diffusion models like FLUX.2 and GPT-OSS-20B. The rise of AI PC frameworks such as ComfyUI and llama.cpp has led to a tenfold increase in developer engagement. At CES 2026, NVIDIA rolled out updates for the AI PC ecosystem, enhancing open-source tools and GPU optimizations, including support for NVFP4 and FP8 formats that significantly improve performance and reduce memory usage. Notable updates include accelerated token generation on llama.cpp and Ollama, memory-efficient algorithms, and the introduction of the advanced LTX-2 audio-video model optimized for RTX PCs. Additionally, NVIDIA emphasized the importance of fine-tuning and retrieval-augmented generation (RAG) workflows, partnering with Docling to streamline document processing. The newly launched Video and Audio Effects SDKs also enhance multimedia capabilities. Developers can leverage these innovations for efficient, high-quality AI applications.
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