nemotron 3 nano omni-30B reasoning at Q8 running autonomously on my dgx spark right now. 58 tok/s. 1 million context. multimodal. hermes agent is using it to research xAI's new grok algorithm that dropped yesterday. pulling repos. scanning code. breaking it down. all while i post this. 30B model. 58 tokens per second. 1M context. reads images and video. locally. for free. nobody is talking about this model and that's insane.

We’re excited to share that @nvidia Nemotron 3 Nano Omni is now available at launch on Bitdeer AI Model Studio 🎉. As part of the NVIDIA #Nemotron# 3 family, Nemotron 3 Nano Omni is an open multimodal model that unifies reasoning across video, audio, images, and text， simplifying agentic AI development with leading efficiency and accuracy. From multimodal understanding to real-world enterprise workflows, Nemotron 3 Nano Omni helps reduce the complexity of fragmented model stacks while enabling richer cross-modal context for search, analysis, summarization, and automation. Access and run it today on Bitdeer AI Model Studio through a simple serverless #inference# API, making it easier to move from experimentation to production. 🔧 Get started today: 💡 Read the full blog: #neocloud# #AI# #ModelStudio# #NVIDIAAI#

From concept to deployment, our latest guide shows how to run secure AI agents with NVIDIA #NemoClaw# on Bitdeer AI Cloud🤖. Learn how to launch a fully sandboxed #agent# in minutes, connect to powerful models like NVIDIA-Nemotron-3-Super-120B-A12B, Moonshot AI’s Kimi-K2.5 through Bitdeer AI’s high performance inference endpoints, and apply network policy controls with greater operational visibility. Explore the guide and start deploying your own secure AI agents on Bitdeer AI Cloud today: #AgenticAI# #AIInfrastructure# #AIInference# #neocloud#

Latest open artifacts (#20#): New orgs! New types of models! With Nemotron Super, Sarvam, Cohere Transcribe, & others The top end of the market was quiet, but "industry-scale tinkering" just got very loud. We're seeing a massive shift: specialized, cheap open models are now the crucial tools complementing closed agents. Analysis & breakdowns of: - @NVIDIAAI Nemotron-3-Super-120B: 1M context + NVFP4. - @cohere Transcribe - @SarvamAI -105B - @MistralAI -Small-4-119B Massive coverage of new artifacts from: - Coding & Logic: @zeddotdev @Meituan_LongCat & Goedel-LM - Multimodal/OCR: @Microsoft @YuanAI_Lab @BaiduAI & @xiaohongshu (RedNote) - RAG & Search: @trychroma @LightOnIO & @miromind_ai - Robotics/Agents: @Reka_AI @hcompany_ai & @ServiceNowRSRCH - Creative & Audio: @bfl_ml @hume_ai & GAIR - Data & Infra: @allen_ai @IBM @markov__ai @StepFun_ai By @natolambert & @xeophon

Our GTC takeaway is clear: NVIDIA is betting hard on open. - NemoClaw turns OpenClaw into enterprise infrastructure. - Nemotron 4 will be open-sourced. - Nemotron Coalition puts eight labs on a shared open frontier model. This is what we've been building toward. Open infrastructure for open intelligence is the direction the biggest AI companies are taking.