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NVIDIA releases Nemotron 3.5 Bolt E4B with 4GB VRAM requirement

NVIDIA has introduced Nemotron 3.5 Bolt E4B, an open small language model derived from Gemma 4 E4B. This model is designed to operate with minimal VRAM, requiring approximately 4GB, making it suitable for devices like RTX, Jetson, and DGX Spark hardware. Nemotron 3.5 Bolt E4B features enhanced capabilities including multi-turn tool calling, a 64k context window, and support for 35 languages, all within a 4B effective parameter count under the OpenMDW license. AI

IMPACT Enables on-device AI applications with low VRAM requirements, potentially expanding the reach of advanced language models.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

NVIDIA releases Nemotron 3.5 Bolt E4B with 4GB VRAM requirement

How we ranked this

Signal score
11 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    NVIDIA has released Nemotron 3.5 Bolt E4B 4GB, an open small language model post-trained from Gemma 4 E4B that runs in roughly 4GB of VRAM on RTX, Jetson and DG

    NVIDIA has released Nemotron 3.5 Bolt E4B 4GB, an open small language model post-trained from Gemma 4 E4B that runs in roughly 4GB of VRAM on RTX, Jetson and DGX Spark hardware. It adds multi-turn tool calling, a 64k context window and support for 35 languages, with 8B total para…