NVIDIA Nemotron 3.5 Super VL joins AWS model family
Current overview (not historical)
NVIDIA's Nemotron 3.5 Super VL, a 120-billion-parameter multimodal mixture-of-experts model distilled from Nemotron 3 Ultra, is now available on AWS. The model activates 12 billion parameters per token and supports text, image, document, and video inputs with a 1-million-token context length. It is offered in BF16 and NVFP4 checkpoints and optimized for Amazon EKS and SageMaker HyperPod environments.
Written with AI from the reporting · updated 10/29/2026
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New at this step ·NVIDIA Nemotron 3.5 Super VL joins AWS model lineup, deployable on Amazon EKS and SageMaker HyperPod
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- AWS Machine Learning Blog · First-partyNVIDIA Nemotron 3.5 Super VL joins AWS model lineup, deployable on Amazon EKS and SageMaker HyperPodOriginal source ↗
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Event developments
1 developments10/30/2026, 12:31:14 AM
NVIDIA Nemotron 3.5 Super VL joins AWS model lineup, deployable on Amazon EKS and SageMaker HyperPodAWS Machine Learning Blog
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- 1Oct 30, 00:00recorded Oct 30, 00:31single source
NVIDIA Nemotron 3.5 Super VL joins Nemotron 3.5 family on AW
Read original source ↗ AWS Machine Learning BlogReplay this moment in the explorer
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First-party sources · 1 reports
- AWS Machine Learning Blog · Oct 30, 00:11NVIDIA Nemotron 3.5 Super VL joins AWS model lineup, deployable on Amazon EKS and SageMaker HyperPod
NVIDIA Nemotron 3.5 Super VL is a 120-billion-parameter multimodal Mixture-of-Experts model that activates 12B parameters per token. It supports text, image, document, and video inputs with text output, featuring a context length of up to 1 million tokens. AWS now offers the model on Amazon EKS, Amazon EKS Auto Mode, and SageMaker HyperPod, with minimum GPU configurations specified for BF16 and NVFP4 precision.
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- AWS Machine Learning BlogSelectedNVIDIA Nemotron 3.5 Super VL joins AWS model lineup, deployable on Amazon EKS and SageMaker HyperPod
NVIDIA Nemotron 3.5 Super VL is a 120-billion-parameter multimodal Mixture-of-Experts model that activates 12B parameters per token. It supports text, image, document, and video inputs with text output, featuring a context length of up to 1 million tokens. AWS now offers the model on Amazon EKS, Amazon EKS Auto Mode, and SageMaker HyperPod, with minimum GPU configurations specified for BF16 and NVFP4 precision.
Event activity trend
- Latest comparable
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- Comparable peak
- 1010月30日 01:00
- 24h change
- -50%
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