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News / GuruFocus / Nvidia Shares Rise as Nemotron 3 Ultra Challenges Closed AI Models Nvidia Shares Rise as Nemotron 3 Ultra Challenges Closed AI Models Less than 1 min read NVDA −0.68% BOX +1.87% Nvidia NVDA gained 4% Wednesday as new benchmark results suggested its open-source Nemotron 3 Ultra AI model could challenge closed models on both cost and enterprise performance. Nvidia said LangCha

swoyamsiddhipattanayak says: July 9, 2026 The automation loop described here feels like the next logical step in MLOps for agents. By treating the harness profile as code and the evaluation suite as a CI/CD pipeline, we’re essentially applying software engineering rigor to non-deterministic systems. Looking forward to seeing if this pattern can be extended to multi-agent environments where the in

As context windows grow longer, moving large model weights efficiently becomes critical to performance. A common way to address this is quantization, an optimization technique that compresses model weights into a smaller data format. One quantization format is NVFP4, an innovative 4-bit floating point introduced with NVIDIA Blackwell architecture. That’s the approach behind our new Nemotron 3 Ult

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Apple is set to rely on Google’s fleet of Nvidia (NASDAQ: NVDA) chips to power its overhauled version of Siri when it launches in September, according to a report from The Information. Queries requiring cloud-based processing will fall back on one of Google’s large Gemini models, under an existing agreement between the two companies. 'I can ask' the Secretary of War: Bessent dodges Iran 'conflic

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Single-turn chatbots are evolving into long-running agents that can reason, maintain context, use tools, and run efficiently across many turns to complete complex workflows. However, these multi-agent workflows cause token counts to grow quickly. Agents plan, call tools, invoke sub-agents, receive information, and then pass history, outputs, and reasoning steps back into the model continuously. A

AibleClaw Now Powered by NVIDIA Nemotron 3 Ultra Delivers Frontier-Class Planning for Claws and Enables Stronger Post-Training of Smaller Models PRESS RELEASE • JUN 4, 2026 13:00 UTC Enterprises can now leverage AibleClaw to securely and cost effectively run long-running AI agents or claws with NVIDIA Nemotron 3 Ultra for frontier-class planning and use its outputs to post-train smaller Nemotron