NVIDIA open-sources Bolt E4B: Vision and dialogue models can run simultaneously on devices with 8GB of memory.
3 hours ago
Beating AI News Flash: Nvidia has open-sourced the small AI model Nemotron 3.5 Bolt E4B, which is 4GB in size and designed specifically for local voice assistants, game characters, and robots. The model is further trained based on Google’s Gemma 4 E4B, with enhanced capabilities in continuous dialogue, instruction comprehension, and tool calling. The total number of model parameters is around 8 billion, but most parameters are lookup-table based and do not require complex computations; the core compute scale is approximately 4 billion parameters. Nvidia also showcased the desktop robot Reachy Mini: Cosmos 3 Edge handles environment perception, Bolt manages chat functions, and calls preset programs to control the robot’s movements. Both models run simultaneously on a single Jetson Orin Nano with only 8GB of memory.
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