News about Nemotron 3.5 Transcribe

Nvidia launched open-weight Nemotron 3.5 Super VL and two lightweight Bolt models for always-on agents and edge computing. The 120B-parameter Super VL targets enterprise tool use, while Bolt runs locally on RTX Spark and DGX Spark PCs, enabling private, cloud-free AI assistants. Super VL and Bolt 74B are available; Bolt E4B comes later this month. #Nvidia #Nemotron #AIAgents #EdgeAI #OpenWeights

Nvidia unveiled Nemotron 3.5 Super VL, an open 120B multimodal model for nonstop enterprise AI agents. Its MoE architecture activates only 12B parameters per token, matching larger models' accuracy at one-fifth the size while parsing charts, tables, and PDFs without a separate vision model. Two smaller Bolt variants target local PCs and edge devices, including a 4GB voice-assistant version. Open weights, datasets, and training recipes are released, but everything is optimized for Nvidia hardware to drive chip sales. #Nvidia #AI #Nemotron #EnterpriseAI #OpenSource

Sakana AI integrates Nvidia's Nemotron models into its Fugu orchestrator, proving collective intelligence can rival single frontier models. Fugu dynamically selects specialist models for subtasks — Nemotron excels at coding, tool use, and instruction following. This modular approach reduces vendor lock-in and scales open AI through orchestration, not just bigger models. A Japanese strategy for global, resilient AI ecosystems. #SakanaAI #Nvidia #Nemotron #CollectiveIntelligence #AIOrchestration

Nvidia has released Nemotron 3 Nano Omni, an open multimodal AI model that processes text, images, video and audio in a single architecture, cleared for commercial use. Built for agentic applications, the 30B-parameter model uses a Mamba-Transformer MoE hybrid, trained on 717B tokens including synthetic data from rival models like Qwen, GPT-OSS and DeepSeek-OCR. Nvidia also released training datasets and pipelines alongside model weights. It outperforms its predecessor, rivals Qwen3-Omni on benchmarks, and delivers up to 9x higher throughput. #Nvidia #AI #MultimodalAI #Nemotron #OpenModel

Nvidia launched Nemotron 3 Nano Omni, an open multimodal AI model handling text, images, video and audio, designed for agentic apps like document processing, GUI agents and voice interaction. The 30B parameter model trained on 717B tokens, with significant synthetic data from rival models including Qwen, GPT-OSS and DeepSeek-OCR. Nvidia also released training data and pipelines alongside model weights, with full commercial use clearance. It beats its predecessor and rivals on key benchmarks, delivering 9x faster throughput than Qwen3-Omni. #Nvidia #AI #Nemotron #MultimodalAI #OpenSourceAI