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NVIDIA Nemotron 3.5 Lightning Delivers Fast, Accurate Specialized Task Execution for Long-Running Agents

NVIDIA Developer Blog · published 11 August 2026

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4blogs citing
First cited
11 Aug 2026
Most recent
1 Sept 2026
Rank this month
not ranked
Links from this post
82
Words captured
1,467

Cited by

Blog
In the post
Date
Radar – O’Reilly
Radar Trends to Watch: September 2026 Read at the source ↗
1 Sept 2026
campustechnology.com
Nvidia Releases Nemotron 3.5 Lightning Open AI Model Read at the source ↗
17 Aug 2026
marktechpost.com
NVIDIA AI Releases Nemotron 3.5 Lightning: A 30B Open MoE with 3B Active Parameters, and NeMo Switchyard Model Router Read at the source ↗
12 Aug 2026
cline.ghost.io
NVIDIA Nemotron 3.5 Lightning just landed in Cline Read at the source ↗
11 Aug 2026

Links from this post

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https://www.nvidia.com/en-us/glossary/ai-agents/
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https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4
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https://www.nvidia.com/en-us/glossary/mixture-of-experts/
nvidia.com
https://github.com/NVIDIA/NemoClaw
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https://developer.nvidia.com/topics/ai/nemotron
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https://www.nvidia.com/en-us/glossary/multi-agent-systems/
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https://www.nvidia.com/en-us/glossary/frontier-models/
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NVIDIA Nemotron 3 Ultra Powers Faster, More Efficient Reasoning for Long-Running Agents Read at the source ↗
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https://github.com/NVIDIA-NeMo/Switchyard
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An Introduction to Speculative Decoding for Reducing Latency in AI Inference Read at the source ↗
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https://developer.nvidia.com/blog/mastering-llm-techniques-inference-optimization/
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https://www.nvidia.com/en-us/products/workstations/dgx-spark/
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https://www.nvidia.com/en-us/glossary/specialized-ai/
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https://www.nvidia.com/en-us/glossary/open-models/
nvidia.com
https://github.com/nvidia-nemo/automodel
github.com
https://github.com/NVIDIA-NeMo/Nemotron/tree/main/usage-cookbook/Nemotron-3.5-Lightning/lora-text2sql
github.com
https://github.com/nvidia-nemo/rl
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https://github.com/NVIDIA-NeMo/gym
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https://huggingface.co/datasets/nvidia/Nemotron-RL-Agentic-Terminal-Pivot-v1-nano35-release
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Route AI Agent Workloads Across Models with NVIDIA NeMo Switchyard Read at the source ↗
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https://www.nvidia.com/en-us/glossary/ai-inference/
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https://blogs.nvidia.com/blog/ai-tokens-explained/
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https://arxiv.org/pdf/2607.05147
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Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding Read at the source ↗
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Introducing NVFP4 for Efficient and Accurate Low-Precision Inference Read at the source ↗
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http://local.ai
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https://www.agilerl.com/blog/partnering-with-nvidia-for-post-training-nemotron-models-to-beat-frontier-apis
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https://www.distillabs.ai/blog/the-best-mid-size-model-to-fine-tune-was-the-third-best-model-to-prompt/
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http://fastino.ai/blog/fastino-nemotron-3-5-lightning-finance-and-healthcare
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https://locailabs.com/blog/introducing-locai-one-ai-in-a-box/
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https://reasonable.io/blog/verification-at-lightning-speed-nemotron
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Putting NVIDIA Nemotron 3.5 Lightning to the test Read at the source ↗
thoughtworks.com
http://trajectory.ai/field-notes/continual-learning-cheap-enough-to-meter
trajectory.ai
http://uniphore.com/blog/testing-nvidia-nemotron-3-5-lightning-against-real-enterprise-agentic-workloads/
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NVIDIA Nemotron 3.5 Lightning Read at the source ↗
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https://lmstudio.ai/models/nvidia/nemotron-3.5-lightning
lmstudio.ai
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aible.com
https://cline.bot/blog/nvidia-nemotron-3-5-lightning-available-in-cline
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Factory Enables Autonomous Software Engineering for High-Security Environments with NVIDIA Nemotron Read at the source ↗
factory.ai
https://blog.kilo.ai/nvidia-nemotron-3-5-lightning
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How many of your agent's calls actually need a frontier model? Read at the source ↗
langchain.com
http://opencode.ai/
opencode.ai
https://www.openhands.dev/blog/nvidia-nemotron-3.5-lightning
openhands.dev
https://pi.dev/models/openrouter/nvidia-nemotron-3-5-lightning-free
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https://aws.amazon.com/about-aws/whats-new/2026/01/nvidia-nemotron-3.5-lightning-on-sagemaker-jumpstart/
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https://docs.cloud.google.com/gemini-enterprise-agent-platform
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https://www.arcoslabs.com/blog/arcos-law-on-premise-ai-nvidia-nemotron/
arcoslabs.com
Teaching NVIDIA Nemotron 3.5 Lightning to route code reviews Read at the source ↗
coderabbit.ai
https://www.baseten.co/blog/introducing-nemotron-35-lightning/
baseten.co
http://www.bitdeer.ai/en/blog/nvidia-nemotron-3-5-lightning/
bitdeer.ai
https://wandb.ai/inference/coreweave/cw_nvidia_Nemotron-3.5-Lightning-30B-A3B
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https://www.crusoe.ai/cloud/managed-inference
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https://deepinfra.com/blog/nvidia-nemotron-3.5-lightning-release
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http://fireworks.ai/models/fireworks/nemotron-lightning-3p5-30b-a3b
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https://www.gmicloud.ai/en/blog/nvidia-nemotron-3-5-lightning-is-live-on-gmi-cloud-what-your-agent-system-was-missing
gmicloud.ai
https://modal.com/endpoints
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https://tokenfactory.nebius.com/endpoints?modals=endpoint-details&model-id=nvidia/Nemotron-3_5-Lightning
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https://www.together.ai/models/nemotron-3-5-lightning
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https://build.nvidia.com/nvidia/nemotron-3.5-lightning-30b-a3b
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https://openrouter.ai/nvidia/nemotron-3.5-lightning:free
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https://modelscope.ai/collections/nv-community/Nemotron-35-Lightning
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https://github.com/NVIDIA-NeMo/Nemotron/tree/main/usage-cookbook/Nemotron-3.5-Lightning
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https://github.com/NVIDIA-NeMo/Nemotron/blob/main/usage-cookbook/Nemotron-3.5-Lightning/sglang_cookbook.ipynb
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https://github.com/NVIDIA-NeMo/Nemotron/blob/main/usage-cookbook/Nemotron-3.5-Lightning/trtllm_cookbook.ipynb
github.com
https://github.com/NVIDIA-NeMo/Switchyard/blob/main/docs/getting_started.md
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https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/
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https://www.youtube.com/@NVIDIADeveloper
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https://developer.nvidia.com/nemotron
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https://huggingface.co/collections/nvidia/nvidia-nemotron-v3
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https://build.nvidia.com/blueprints
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https://forums.developer.nvidia.com/c/ai-data-science/nvidia-nemotron/669
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