{"slug": "nvidia-launches-new-open-models-to-run-agents-in-the-enterprise-and-on-pcs", "title": "Nvidia launches new open models to run agents in the enterprise and on PCs", "summary": "Nvidia on Thursday released new open-weight Nemotron 3.5 models for enterprise and local agents, led by the 120-billion-parameter Nemotron 3.5 Super VL, which Nvidia says matches the larger Nemotron 3 Ultra on instruction-following and tool-use accuracy. Nvidia also launched two lightweight Bolt models for AI PCs running the RTX Spark chip and DGX Spark workstations: the 74-billion-parameter Bolt 74B-A9B 24GB, available now, and the smaller Bolt E4B, due later this month. Nvidia vice president of Open Models and Software Kari Briski wrote that organizations \"can post-train Super VL on their own data, deploy it on their own infrastructure and own what they build,\" and Nvidia named Skydance, EY, Ramp, Crowdstrike, Perplexity and Salesforce as users of Super VL.", "body_md": "Nvidia on Thursday launched new open-weight models designed for always-on agents and edge computing.\n\nThe Nemotron 3.5 Super VL is a large, 120-billion-parameter model geared for agents used by the enterprise. While it uses fewer parameters than the [Nemotron 3 Ultra](https://research.nvidia.com/labs/nemotron/Nemotron-3-Ultra/) model, Nvidia says it can deliver similar accuracy in instruction-following and tool-use tasks.\n\nAt the other end of the spectrum, the company also launched two lightweight Bolt models. These are intended to run locally on the new AI PCs (running the Nvidia RTX Spark chip) and workstations running the DGX Spark. Such PCs, aimed at consumers, programmers and enterprise knowledge workers, are being [released right now into the market through partners like Microsoft and Dell.](https://techcrunch.com/2026/10/07/microsoft-releases-new-nvidia-chip-ai-pcs-with-revamped-windows-11/)  \n\n“Any organization that wants to run agents on Nvidia infrastructure now has an open, optimized model for their tier without having to choose between capability and deployability,” Nvidia’s vice president of Open Models and Software, Kari Briski, [wrote in the blog post](https://blogs.nvidia.com/blog/nemotron-3-5-super-vl/) announcing these models.  \n\nNvidia claims that the Super VL completes tasks faster than competing models from Anthropic and OpenAI (Opus 5, GPT 6.1 Sol, Luna, Astra) when post-trained on specific agentic tasks. These tasks include document intelligence, financial accounting, scientific experimentation, medical insurance claims, and security attack resilience.\n\nWhile such claims are standard whenever a major tech company announces a new model, Nvidia has backed it up with a list of heavy-hitter companies that it says are using Super VL. These include Skydance, EY, Ramp, Crowdstrike, Perplexity and [Salesforce](https://techcrunch.com/2026/09/15/salesforce-and-nvidias-new-reasoning-model-is-everything-the-ai-labs-should-fear/).  \n\nOf course, these aren’t the first open-weight models that Nvidia has released that compete with the proprietary frontier labs – companies that are both its customers and its investments. The GPU giant has an entire family of [Nemotron](https://developer.nvidia.com/topics/ai/nemotron) models that do everything from multimodal artificial intelligence to reasoning, coding, math, and enterprise automation. \n\nHowever, those fast-growing proprietary AI labs are now looking to many other chips and AI system makers beyond Nvidia to power their needs (like AWS’s Trainium and Cerebras as well as building their own home-grown chips).\n\nSo Nvidia is leaning hard into the trend of enterprise companies wanting to run their own open models in their own data centers. “Unlike closed frontier models, organizations can post-train Super VL on their own data, deploy it on their own infrastructure and own what they build,” Briski wrote.\n\nBut with the announcement or the smaller, local PC models, it is also trying to push forward the nascent trend of consumer AI assistants. While it seems a new AI assistant is introduced every day by startups and big tech alike, privacy weary consumers may not want to invite such agents so deeply into their lives giving them access to info about their families, health, finances and so on.\n\nSo Nvidia, hopes to create a new market for itself selling PCs powered by its chips by creating machines that run the models and agents locally, PC users “can delegate everyday projects … without sending those workloads to the cloud,” Briski wrote.\n\nOf the two Bolt models, Nemotron 3.5 Bolt 74B-A9B 24GB is a 74-billion parameter model designed for local agentic tasks. It is intended to balance speed with reasoning to handle multistep reasoning, tool calling and web browsing. The smallest Bolt E4B is aimed at conversational agents.\n\nSuper VL and Bolt 74B-A9B are available now, with Bolt E4B coming later this month, Nvidia says.", "url": "https://wpnews.pro/news/nvidia-launches-new-open-models-to-run-agents-in-the-enterprise-and-on-pcs", "canonical_source": "https://techcrunch.com/2026/10/19/nvidia-launches-new-open-models-to-run-agents-in-the-enterprise-and-on-pcs/", "published_at": "2026-10-19 15:37:09+00:00", "updated_at": "2026-10-19 15:45:44.559768+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-agents", "ai-products", "ai-infrastructure"], "entities": ["Nvidia", "Nemotron 3.5 Super VL", "Nemotron 3 Ultra", "Nemotron 3.5 Bolt 74B-A9B 24GB", "Bolt E4B", "Kari Briski", "RTX Spark", "DGX Spark"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/nvidia-launches-new-open-models-to-run-agents-in-the-enterprise-and-on-pcs", "markdown": "https://wpnews.pro/news/nvidia-launches-new-open-models-to-run-agents-in-the-enterprise-and-on-pcs.md", "text": "https://wpnews.pro/news/nvidia-launches-new-open-models-to-run-agents-in-the-enterprise-and-on-pcs.txt", "jsonld": "https://wpnews.pro/news/nvidia-launches-new-open-models-to-run-agents-in-the-enterprise-and-on-pcs.jsonld"}}