AI-powered laptops

Generative AI-powered laptops and PCs are advancing sectors like gaming, content creation, productivity, and software development, with over 600 Windows applications and games utilizing AI on more than 100 million GeForce RTX AI PCs globally. At the Microsoft Ignite event, NVIDIA and Microsoft introduced tools for Windows developers to build and optimize AI applications on RTX AI PCs, enhancing workflows for AI agents and digital humans. NVIDIA's interactive digital human, James, utilizes NVIDIA NIM microservices, NVIDIA ACE, and ElevenLabs technologies for immersive interactions. NVIDIA ACE enhances digital entities' engagement through visual perception, allowing context-aware responses. The multimodal small language models developed by NVIDIA process text and imagery, optimizing rapid response times. The upcoming NVIDIA Nemovision-4B-Instruct model operates on RTX GPUs while maintaining accuracy, enabling digital humans to interpret visual imagery for relevant responses. NVIDIA will also launch the Mistral NeMo Minitron 128k Instruct family, offering large-context small language models in various parameter versions for efficient digital human interactions. These models process extensive datasets without segmentation, improving efficiency on low-power devices. NVIDIA announced enhancements to the TensorRT Model Optimizer for Windows, addressing challenges in model deployment due to limited memory and computational resources. The updates streamline models for ONNX Runtime deployment, utilizing GPU execution providers. The TensorRT-ModelOpt includes advanced quantization algorithms, significantly reducing memory footprint and improving throughput performance on RTX GPUs, achieving up to a 2.6x reduction in memory footprint compared to FP16 models.