NVIDIA Releases Nemotron 3.5 Bolt E4B 4GB Small Language Model
NVIDIA introduces Nemotron 3.5 Bolt E4B 4GB, an open small language model post-trained from Gemma 4 E4B for local voice assistants, game characters, and robots.
Stock photo for illustration only, not from the actual event
- NVIDIA releases the Nemotron 3.5 Bolt E4B 4GB open small language model
- The model is post-trained directly from the Gemma 4 E4B foundation
- Engineered specifically for local voice assistants, game characters, and robots
- Optimized to target approximately 4GB of VRAM on RTX and Jetson hardware
NVIDIA has announced the release of NVIDIA Nemotron 3.5 Bolt E4B 4GB, a new open small language model that has been post-trained from Gemma 4 E4B. This release is tailored specifically to empower local voice assistants, interactive game characters, and autonomous robots running on consumer and edge hardware.
By focusing on efficiency and local execution, this model aims to bridge the gap between heavy cloud-based AI and lightweight edge computing devices, allowing developers to integrate smart conversational and reactive capabilities directly into local applications without relying on external servers.
Stock photo for illustration only, not from the actual event
A major highlight of the Nemotron 3.5 Bolt E4B 4GB model is its hardware footprint, requiring only about 4GB of VRAM. This makes it exceptionally practical for deployment across various NVIDIA RTX graphics cards and NVIDIA Jetson edge computing modules.
The introduction of compact models like Nemotron 3.5 Bolt E4B underscores the industry's shift toward on-device intelligence. Requiring only 4GB of VRAM significantly lowers the barrier to entry for hobbyists and developers looking to experiment with advanced AI agents locally.
For further technical documentation and download details, readers can refer to the original developer announcement.
Source: MarkTechPost
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