Nemotron 3 Ultra NVIDIA Leads in Benchmarks; Stunning Performance at 10 Times Lower Cost

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` tags? Yes. - *Accuracy & Fluency Check:* - P1: "NVIDIA has set new standards in the field of AI Agents by introducing the Nemotron 3 Ultra model and leveraging the LangChain platform. This new combination has achieved the highest accuracy level among open-source models in LangChain benchmarks, while its inference cost is 10 times lower than that of prominent closed and commercial models on the market." -> Sounds natural and accurate. - P2: "One of the standout features of this achievement is the elimination of the need for model retraining. All improvements were achieved by engineering the model's surrounding environment, including tuning system prompts, detailing tool descriptions, and implementing intermediate layers within LangChain's Deep Agents framework. This approach enables developer teams to run experiments faster at a significantly lower cost and build more specialized agents." -> "elimination of the need" -> "no need for". "engineering the model's surrounding environment" -> "optimizing the model's context/environment". Let's adjust slightly for better tech phrasing: "One key highlight of this achievement is that it requires no model retraining. All improvements come from engineering the model's surrounding environment, including tuning system prompts, defining tool descriptions, and configuring intermediate layers within LangChain's Deep Agents framework. This approach allows developer teams to iterate faster at a much lower cost and build more specialized agents." - P3: "The collaboration between NVIDIA and LangChain has also led to the introduction of NemoClaw, a reference blueprint that allows organizations to deploy a fully open-source stack comprising the model, tools, and execution orchestration. This level of ownership and customization guarantees data security and governance for large enterprises aiming to integrate intelligent agents into their sensitive workflows." -> "execution scheduling/orchestration" -> "inference execution and orchestration". The original says "زمان‌بندی اجرا" which in AI agent context usually means orchestration or scheduling. I'll stick with "execution orchestration/scheduling". Let's use "execution orchestration". Actually, "زمان‌بندی اجرا" might be a direct translation of "inference routing" or "execution scheduling". I'll go with "execution scheduling" or keep it simple: "model, tools, and execution framework". Let's stick closely to the original: "model, tools, and execution scheduling". Actually, in LangChain context, it's often "orchestration". I'll use "execution orchestration". Wait, the original says "پشته‌ای کاملاً متن‌باز شامل مدل، ابزارها و زمان‌بندی اجرا". I'll translate it as "a fully open-source stack including the model, tools, and execution scheduling". - Let's review the whole text for consistency and professional tone. Refined version:

NVIDIA has established new standards in the field of AI Agents with the introduction of the Nemotron 3 Ultra model and the integration of the LangChain platform. This new combination has achieved the highest accuracy among open-source models in LangChain benchmarks, while its inference cost is 10 times lower than that of leading closed and commercial models on the market.

A key highlight of this achievement is the complete elimination of the need for model retraining. All improvements have been realized by engineering the model's surrounding environment, including tuning system prompts, defining tool descriptions, and configuring intermediate layers within LangChain's Deep Agents framework. This approach enables developer teams to accelerate experiments at a significantly lower cost and build more specialized agents.

The collaboration between NVIDIA and LangChain has also resulted in the introduction of NemoClaw, a reference blueprint that allows organizations to utilize a fully open-source stack encompassing the model, tools, and execution scheduling. This degree of ownership and customization ensures data security and governance for large enterprises seeking to integrate intelligent agents into their sensitive workflows.