← Back to feed

Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models

L4 · DeveloperModels & ReleasesNVIDIA AI Blog· 10/15/2026

Provides developers with optimized open models for agent deployments on NVIDIA infrastructure across different performance tiers.

AI Summary

NVIDIA released Nemotron 3.5 Super VL (120B parameters) and two Bolt edge models optimized for local agentic workloads across data center to desktop deployments.

Excerpt

NVIDIA today released Nemotron 3.5 Super VL, an open 120-billion-parameter model that delivers the fastest task completion and highest accuracy for specialized always-on agents. Joining it are two new edge models: Nemotron 3.5 Bolt 74B-A9B 24GB, optimized to balance intelligence and speed per GB for local agentic workloads, and Nemotron 3.5 Bolt E4B 4GB, optimized […]

Read Original
0 upvotes · 0 downvotes · 1 min read

Related Articles

L4 · DeveloperModels & ReleasesHugging Face Blog
Welcome FLUX.3 Image Klein in Diffusers

FLUX.3 Image Klein, Black Forest Labs' latest open image generation model, is now available in Diffusers with layout control via bounding box prompts and multi-reference image-to-image capabilities.

L4 · DeveloperModels & ReleasesHugging Face Blog
Apertus 1.5 Release Notes

Apertus 1.5 adds multimodal image/audio understanding, 262k context window, thinking mode, and improved tool use to the open-source 8B/70B models.

L5 · ResearcherModels & Releases@GoogleDeepMind
Google DeepMind (@GoogleDeepMind): Gemini 4 Argon is already unlocking new scientific breakthroughs in quantum computing, nuclear fusion, protein design and beyond. 🧵 https://t.co/Shj3Y4whoK

Google DeepMind announces Gemini 4 Argon is accelerating breakthroughs in quantum computing, nuclear fusion, and protein design with specific technical achievements.

L4 · DeveloperModels & ReleasesTheSequence
The Sequence Learning Loop - Issue 950: Three Models, Three Ways to Make AI Smarter

Reflection's Beam, Google's EmbeddingGemma 2, and Mistral Large 4 represent three complementary approaches to building more capable AI systems through efficient reasoning, multimodal search, and visual understanding.

L3 · BuilderModels & Releases@ClementDelangue
clem 🤗 (@ClementDelangue): Very cool to see Embedding Gemma 2 by @Google, number on trending on HF! The media and silicon valley bubble only talks about reasoning LLMs when there is a much bigger variety of AI models that are

Google's Embedding Gemma 2 model is trending on Hugging Face, offering efficient embeddings for multimodal search and retrieval applications.