Nemotron is NVIDIA's family of open models spanning language, vision-language, robotics and scientific computing. Recent coverage centers on new releases including Nemotron 3.5 Lightning, Super VL and Bolt, plus Shopify post-training Nemotron 3.5 Lightning to cut serving costs 90%, Salesforce building its Koa reasoning model on Nemotron, Cassava offering locally hosted Nemotron inference via CAIMEx, and Nemotron 3-based specialists reaching gold level at IMO 2026 and IOI 2026.
A Hugging Face blog post details MonsterHouse, a Halloween projection built on the NVIDIA Nemotron Voice Agent with Nemotron ASR, Nemotron 3.5 Bolt E4B, Magpie TTS Zeroshot and Audio2Face-3D. The garage door talks like a grumpy pirate ship, and everything runs on a single workstation.
European retailers are using open models and physical intelligence across commerce and fulfillment. Shopify post-trained NVIDIA Nemotron 3.5 Lightning, surpassing a leading frontier model on its internal benchmark while cutting serving costs 90% and delivering 7x faster responses; Zooplus rebuilt product discovery with NVIDIA technology, reaching 86% search accuracy in a prototype.
Cassava Technologies is adding NVIDIA Nemotron open models to its AI Factory, offering them as locally hosted managed inference APIs via its Multi-Model Exchange (CAIMEx). The move lets enterprises build agentic applications without operating their own model-serving infrastructure.
At GTC Berlin, NVIDIA showed its local AI hardware lineup: RTX Spark for Windows PCs, DGX Spark for Linux developers and DGX Station for enterprises. DGX Spark 64GB ships Oct. 23 and a Windows DGX Station arrives in December. NVIDIA Sync will support eight DGX Sparks, with day-0 support for new Nemotron, GLM, DeepSeek, Qwen and other models.
European industrial companies are adopting NVIDIA CUDA-X, Omniverse libraries and open Cosmos and Nemotron models. The Factory Operations Blueprint (FOX) is in early access on GitHub for factory-manager agents. Siemens is integrating FOX-built agents into Intelligence Center X, estimating 20% cost savings and a 40% cut in inspection calibration time.
NVIDIA unveiled open models including Nemotron 3.5 Super VL and Bolt, Kumo, and Cosmos 3.5, spanning language, robotics, biology and quantum computing. They target customization with local data on controlled infrastructure, with European partners such as Mistral contributing.
NVIDIA said cities across EMEA are working with local software partners to build physical AI agents and digital twins using its accelerated computing, Cosmos and Nemotron open models and the Metropolis video search blueprint, for tasks such as spotting traffic congestion, predicting maintenance and urban planning. Projects span the U.K., Belgium, Finland, France and beyond, with pilots in Liverpool, Jersey and Belfast.
Starting from Nemotron 3, teams used supervised fine-tuning, reinforcement learning and an inference loop to build specialists that hit gold-medal level at both IMO 2026 and IOI 2026. The IOI run was an unofficial live benchmark under human-equivalent time and submission limits, while IMO proofs were graded by official IMO graders.
NVIDIA's latest State of AI in Telecommunications report finds 89% of respondents say open source models and software matter to their AI strategy. Operators value open models for cost, customization, trust, flexible deployment and localized services, with SoftBank building on open models like Nemotron.
Nvidia's Nader Khalil and Sydney Sykes will speak at TechCrunch Disrupt 2026 on October 13-15 in San Francisco about how startups should choose between open and proprietary AI models. Nvidia says 145 papers at ICML 2026 cited its Nemotron open models, yet frontier proprietary labs keep advancing, and the choice affects cost, infrastructure and differentiation.
At Dreamforce Salesforce unveiled Koa, its first reasoning model built on Nvidia's open-weight Nemotron, optimized for sales, marketing and customer-support tasks. Koa offers enterprises an open-weight alternative that was post-trained without ingesting customer data, integrates into Agentforce, and aims to reduce token costs while meeting data-security requirements.
Nvidia and Palantir are partnering to apply AI to supply-chain management, starting with Nvidia’s multi-million-part internal supply chain. Palantir integrates open Nemotron models into Foundry for fine-tuning, while Nvidia’s cuOpt handles scenario planning and optimization; deployments can run on-premises or in cloud via a Sovereign AI OS reference architecture.
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