Nemotron 3 Nano Omni is coming to our Nemotron Labs livestreams. May 5 – How the Developer Community Builds Sub-Agents with NVIDIA Nemotron 3 Nano Omni https://
addevent.com/event/rwnjn543
s4jq
… May 12 – Ask the Experts: Nemotron 3 Nano Omni – https://
addevent.com/event/3myyxpbk
1hgw
… Save the dates and see
@nvidiaai
-
NVIDIA Nemotron 3 Nano Omni Developer Livestreams Announced
By
–
-
NVIDIA NIM API Now Available for Free Testing
By
–
You can test it out now through the NVIDIA NIM API for free ➡️ https://t.co/XzqYSXIwsH pic.twitter.com/gVwIVXHpf3
— NVIDIA AI (@NVIDIAAI) 28 avril 2026You can test it out now through the NVIDIA NIM API for free https://
nvda.ws/4uA8UGn -
Nemotron 3 Nano Omni: NVIDIA’s Fully Open Source AI Model
By
–
Built on NVIDIA’s open ecosystem, Nemotron 3 Nano Omni is fully open source, including:
• Open weights
• Open data
• Open recipes Read the blog for more details -
Nemotron 3 Nano Omni: Unified Multimodal Architecture for AI Subagents
By
–
Nemotron 3 Nano Omni was designed for powering subagents. Instead of stitching together separate models for language, vision, and speech, it ties them into a single architecture that more efficiently feeds context to orchestrators.
-
Nemotron 3 Nano Omni: Efficient Open Multimodal Model Released
By
–
Meet Nemotron 3 Nano Omni 👋
— NVIDIA AI (@NVIDIAAI) 28 avril 2026
Our latest addition to the Nemotron family is the highest efficiency, open multimodal model with leading accuracy.
30B parameters. 256K context length. 🧵👇 pic.twitter.com/j4SPpU9SaIMeet Nemotron 3 Nano Omni Our latest addition to the Nemotron family is the highest efficiency, open multimodal model with leading accuracy. 30B parameters. 256K context length.
-
Glean Launches Waldo Agentic Search Model
By
–
Glean just got smarter and faster with Waldo.🧐
— NVIDIA AI (@NVIDIAAI) 28 avril 2026
Congrats to the @Glean team on rolling out their first agentic search model. https://t.co/szfWB2VEuuGlean just got smarter and faster with Waldo. Congrats to the @Glean team on rolling out their first agentic search model.
-
Ineffable Labs Launches From Stealth With Collaboration Announcement
By
–
Congrats to @IneffableLabs on today’s launch out of stealth. Super excited on our collaboration with their team. More details to come soon.
-
Fine-tune Llama 3.1 with JAX on NVIDIA GPUs
By
–
New tutorial just dropped Watch to learn how to fine-tune Llama 3.1 with JAX on NVIDIA GPUs – whether single GPUs or multi-GPU and multi-node configurations.
-
NVIDIA Dynamo Optimizes Inference Stack for Agentic Coding
By
–
Traditional inference wasn’t built for agentic coding. Agentic tools make hundreds of API calls per coding session, often with recomputed context, creating bottlenecks that drive up cost per token. NVIDIA Dynamo rebuilds the stack for agents with: → KV-aware routing →
-
Nemotron-Personas-Korea Tops Hugging Face Leaderboard
By
–
Super cool to see Nemotron-Personas-Korea hit #1 on @huggingface
. It's also the first Korean persona dataset. Huge shoutout to the team and the dev community pushing open datasets forward