AI Briefing#nemotron
The latest AI and developer news about #nemotron, with the original source and a short summary.
The latest AI and developer news about #nemotron, with the original source and a short summary.
The 74B parameter MoE model is packed into 24GB using 2-bit quantization, with a 4GB variant releasing Oct. 23.
The new superchip laptops feature up to 128GB unified memory and 1 petaflop of AI compute, launching with optimized apps from Adobe, GitHub, and major game titles.
Nemotron-3-Ultra-CC scored 535.4/600 at IOI 2026, surpassing the top human score, while a specialized IMO system achieved 30/42 points.
89% of telecom respondents in NVIDIA's latest report cite open source models as important to their AI strategy.
The new inference engine achieves 56 concurrent sessions on a single NVIDIA H100 SXM 80 GB by eliminating CPU-GPU overhead and batching continuous inference workloads.
The 550B-parameter model scored 535.4 out of 600 on the IOI 2026 problem set, surpassing the top human contestant's score of 498.27.
The new Holo4 models, available in 27B dense and 35B-A3B MoE sizes, interact with software across GUI, code, MCP, and API interfaces.
NVIDIA introduced a new framework for AI agent evaluation that emphasizes task completion and cost efficiency over tool-calling accuracy.
NVIDIA unveiled its strategy and partnerships for accelerating AI and HPC across Southeast Asia at AI Day Singapore, with Sea Limited becoming the first in ASEAN to adopt the NVIDIA Vera Rubin platform.
Salesforce has unveiled Koa, its first CRM reasoning model developed in-house based on NVIDIA Nemotron 3 Super.
CrowdStrike has unveiled SafeMind, an agentic security system leveraging NVIDIA Nemotron to enable evolving attack and defense capabilities.
LangChain has launched an enterprise agentic AI development platform in collaboration with NVIDIA.
Nvidia has invested $1 billion in Poolside and paid $6 billion for technology licensing and talent acquisition to begin developing Nemotron.
An analysis of Nvidia's strategy to maximize inference chip demand by building an open-source model ecosystem.
Nvidia reduced AI agent costs to 1/3 by routing to the optimal model for each task stage using Nemotron 3.5 Lightning and Switchyard.
Switchyard handled 93% of agent calls with a 30B model, reducing costs by 74%.
NVIDIA has released a high-efficiency agentic AI model and an intelligent model routing library.
NVIDIA released an 11B voice model supporting 450ms response times and tool calling.
NVIDIA is building out Korea's AI ecosystem by establishing a joint AI research lab with KAIST and strengthening its partnership with SK Group.
NVIDIA Vera Rubin maximizes Intelligence per Dollar for Post-Training workloads, leading the economics of the Agentic AI era.
NVIDIA has released Nemotron-3-Embed, a multilingual text embedding model optimized for RAG systems.
NVIDIA has released the Nemotron open datasets and a visualization tool to improve agent performance.
NVIDIA has released Nemotron-3 Puzzle-75B, an MoE-based model that dramatically improves inference efficiency.
NVIDIA has released Audex-30B, a unified multimodal MoE-based model that processes text and audio simultaneously.