How NVIDIA Uses Ollama
18 engineering articles about Ollama from NVIDIA's engineering team
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Long-running AI agents spend most of their time on high-volume execution: tool calls, result validation, and subagent delegation. Using a frontier reasoning…
Tanya Lenz
8 min read
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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…
The rise of autonomous, long-running AI agents has introduced a new class of compute demand, namely tasks that maintain large context windows…
Agentic systems often reason across screens, documents, audio, video, and text within a single perception‑to‑action loop. However, they still rely on fragmented…
Anjali Shah
11 min read
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Agents are evolving from question-and-answer systems into long-running autonomous assistants that read files, call APIs, and drive multi-step workflows. However…
The Gemmaverse expands with the launch of the latest Gemma 4 multimodal and multilingual models, designed to scale across the full spectrum of deployments…
Anu Srivastava
6 min read
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The article discusses how recent upgrades to open source AI tools enhance the performance of small language models (SLMs) and diffusion models on NVIDIA RTX PCs.
Annamalai Chockalingam
7 min read
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The article discusses the implementation of Edge AI on the NVIDIA Jetson platform, focusing on the use of Large Language Models (LLMs), Vision Language Models (VLMs), and Foundation Models in robot...
Chitoku Yato
9 min read
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The NVIDIA-accelerated Mistral 3 open model family offers developers and enterprises industry-leading accuracy, efficiency, and customization capabilities.
Anu Srivastava
6 min read
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NVIDIA has optimized OpenAI's gpt-oss models for accelerated inference performance on the NVIDIA GB200 NVL72 system, achieving up to 1. 5 million tokens per second (TPS).
Anu Srivastava
6 min read
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The article discusses the general availability of Google DeepMind's Gemma 3n on NVIDIA RTX and Jetson platforms, highlighting its capabilities in multi-modal on-device deployment, including audio, ...
Anu Srivastava
4 min read
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The article discusses the integration and deployment of Alibaba's Tongyi Qwen3 models into production applications using NVIDIA technologies.
Ankit Patel
6 min read
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NVIDIA has announced world-record inference performance for the DeepSeek-R1 model using the Blackwell architecture, achieving over 250 tokens per second per user and a maximum throughput of over 30...
Ashraf Eassa
13 min read
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NVIDIA JetPack 6. 2 introduces Super Mode for the Jetson Orin Nano and Jetson Orin NX modules, significantly enhancing generative AI performance.
Shashank Maheshwari
11 min read
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The article discusses the enhancements made to the NVIDIA Jetson Orin Nano Developer Kit, now renamed the Jetson Orin Nano Super Developer Kit, which offers a performance boost of up to 1.
Suhas Hariharapura Sheshadri
10 min read
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The article discusses how llama. cpp, an efficient framework for large language model (LLM) inference, can be accelerated on NVIDIA RTX systems.
Annamalai Chockalingam
5 min read
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The article discusses how Infosys leverages NVIDIA NIM and NeMo Retriever to enhance network operations centers (NOCs) for telecom companies.
The article discusses Firebase Genkit, an open-source framework introduced at Google I/O 2024, designed for developers to integrate generative AI into web and mobile applications using models like ...
Ankit Patel
3 min read
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