Nvidia Nemotron 3.5 Bolt E4B 4GB (research.nvidia.com)

Nvidia has unveiled the Nemotron 3.5 Bolt E4B 4GB, a new open-source language model optimized for conversational agents, which promises significant enhancements in speed and efficiency. Building upon the Gemma 4 E4B framework, this model delivers approximately 40% higher performance on key conversational benchmarks compared to its predecessor, while generating up to 80% fewer tokens than competing models. Key features include support for multi-turn interactions, configurable reasoning, a 64k context window, and multilingual capabilities across 35 languages, making it ideal for various applications like voice assistants, interactive characters, and IoT devices. The release of Bolt E4B addresses the growing demand for compact, cost-effective language models that can operate efficiently on devices with limited resources. Its design allows for rapid deployment across hardware like NVIDIA GeForce RTX and Jetson platforms, while ensuring responsiveness and adaptability in real-time scenarios. The integration of advanced learning techniques and new benchmarking methodologies aims to enhance the user experience by aligning model capabilities with the practical needs of developers, thereby shaping the future landscape of conversational AI applications.