Nvidia says its open model combines reasoning and tool use with text, image, document and video understanding.
Nvidia introduced Nemotron 3.5 Super VL as an open model for long-running AI agents. The company says it has 120 billion total parameters, with 12 billion active, and combines reasoning and tool use with text, image, document and video understanding.
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@IanAndrewsDCNvidia model strategy: 1. Build great base models 2. OpenSource model, weights, training data & pipelines 3. Engage an ecosystem of partners for post training & domain or task specific fine tuning 4. Make available everywhere at great economics 5. Solve real customer problems 🎉
@sundeepRT @IanAndrewsDC: Nvidia model strategy: 1. Build great base models 2. OpenSource model, weights, training data & pipelines 3. Engage an ec…
@RoundtableSpaceNVIDIA JUST DROPPED A FREE OPEN MODEL FOR LONG-RUNNING AI AGENTS It combines reasoning + tool use with text, image, document & video understanding. 120B params (12B active). Open weights on Hugging Face.@IanAndrewsDCNvidia model strategy: 1. Build great base models 2. OpenSource model, weights, training data & pipelines 3. Engage an ecosystem of partners for post training & domain or task specific fine tuning 4. Make available everywhere at great economics 5. Solve real customer problems 🎉@sundeepRT @IanAndrewsDC: Nvidia model strategy: 1. Build great base models 2. OpenSource model, weights, training data & pipelines 3. Engage an ec…@RoundtableSpaceNVIDIA JUST DROPPED A FREE OPEN MODEL FOR LONG-RUNNING AI AGENTS It combines reasoning + tool use with text, image, document & video understanding. 120B params (12B active). Open weights on Hugging Face.@IanAndrewsDCNvidia model strategy: 1. Build great base models 2. OpenSource model, weights, training data & pipelines 3. Engage an ecosystem of partners for post training & domain or task specific fine tuning 4. Make available everywhere at great economics 5. Solve real customer problems 🎉@sundeepRT @IanAndrewsDC: Nvidia model strategy: 1. Build great base models 2. OpenSource model, weights, training data & pipelines 3. Engage an ec…@RoundtableSpaceNVIDIA JUST DROPPED A FREE OPEN MODEL FOR LONG-RUNNING AI AGENTS It combines reasoning + tool use with text, image, document & video understanding. 120B params (12B active). Open weights on Hugging Face.@IanAndrewsDCNvidia model strategy: 1. Build great base models 2. OpenSource model, weights, training data & pipelines 3. Engage an ecosystem of partners for post training & domain or task specific fine tuning 4. Make available everywhere at great economics 5. Solve real customer problems 🎉@sundeepRT @IanAndrewsDC: Nvidia model strategy: 1. Build great base models 2. OpenSource model, weights, training data & pipelines 3. Engage an ec…@RoundtableSpaceNVIDIA JUST DROPPED A FREE OPEN MODEL FOR LONG-RUNNING AI AGENTS It combines reasoning + tool use with text, image, document & video understanding. 120B params (12B active). Open weights on Hugging Face.—
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