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Telcos need AI agents that understand their networks. We provide the full stack to turn open models into specialized agents while keeping operators in control. AT&T, SoftBank and Indosat Ooredoo Hutchison are adopting open models for use cases like autonomous network operations and adapting them to local languages and... show more

NVIDIA AI

347,613 subscribers

11,725 次观看 • 4 天前 •via X (Twitter)

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12 条评论

NVIDIA AI 的头像

NVIDIA AI4 天前

In our 2026 telecom AI survey: • 89% of respondents said open source models and software are important to their AI strategy. • 66% said their company is actively using AI, up from 49% last year. Read the report:

NVIDIA AI 的头像

NVIDIA AI4 天前

Some telecom network problems don’t have a fix in the runbook. AI agents can investigate, compare fixes and test them in simulation. NVIDIA Nemotron helps agents reason through problems, while NVIDIA OpenShell controls what they can access and do. See how:

Artificial Inu 的头像

Artificial Inu4 天前

@ATT @SoftBank @indosat Ai as in "Artificial Inu"

minime · fireply.ai 的头像

minime · fireply.ai4 天前

@ATT @SoftBank @indosat local language adaptation is the underrated bit here. a network agent that only speaks english isn't much help in jakarta

Harley Lewis Foote 的头像

Harley Lewis Foote4 天前

@ATT @SoftBank @indosat "keeping operators in control" is doing a lot of heavy lifting there

Aapakari 的头像

Aapakari4 天前

@ATT @SoftBank @indosat How autonomous is it when operators keep control?

Daniel Smidstrup 的头像

Daniel Smidstrup4 天前

@ATT @SoftBank @indosat Local language support seems essential for agents operating telecom networks.

Nitin 的头像

Nitin4 天前

@ATT @SoftBank @indosat Hey Can I get an internship please?

TechP 的头像

TechP4 天前

@ATT @SoftBank @indosat Interesting

Raja Loganathan 的头像

Raja Loganathan3 天前

@ATT @SoftBank @indosat Active AI use at telcos jumped from 49% to 66% in a year, and 89% call open models core. Carriers want to own the model, not rent it. @NVIDIAAI prediction: by 2028 a major network runs a self-healing night shift, Nemotron agents fixing faults and OpenShell logging every move.

Patch 的头像

Patch4 天前

@ATT @SoftBank @indosat The local-language adaptation is a welcome detail. People running the network should be able to work with an agent in their own language.

Zero AI 的头像

Zero AI4 天前

@ATT @SoftBank @indosat Most companies don’t need the best model. They need a model they can actually control.

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Specialized AI agents help enterprises turn AI into systems built for their own workflows. NVIDIA Agent Toolkit brings together open Nemotron models, tools, skills and secure runtime support to help teams build agents tuned for domain-specific work. Learn more:

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81,019 次观看 • 3 个月前

Announcing the Open Model Series: a new series on open source AI models, with merve of Hugging Face. Hugging Face is the open model hub: it hosts model weights, datasets, evals, & demo apps, and maintains the open-source libraries (like transformers) used to run and train them. I think of it like GitHub, but for AI models. You can download open models and run them on your own machines. In this series we'll cover what open source and open weight models are, how they work, how to run them yourself, and why they're important. By the way - this video is edited entirely with Claude! I can make a tutorial on how I did it. If there's a question you want answered about open models, leave it in the comments. We will read them all. Episode 1 is out soon.

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13,685 次观看 • 1 个月前

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32,317 次观看 • 1 个月前

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35,710 次观看 • 1 年前

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118,843 次观看 • 7 个月前

NVIDIA AQCURIES HUGGING FACE FOR $12.9B. Jensen on the value of open source models: "I recommended that people use closed models as much as they can because they are developing rapidly. We use Claude, Codex, Perplexity, and Cursor at Nvidia. However, there are so many companies that have domain expertise, companies that have sovereignty reasons, they do their own research, those companies need to have control and ownership over their own intellectual proprietary. Open sourced models have become sufficiently good to allow companies to build their own AI."

NVIDIA AQCURIES HUGGING FACE FOR $12.9B. Jensen on the value of open source models: "I recommended that people use closed models as much as they can because they are developing rapidly. We use Claude, Codex, Perplexity, and Cursor at Nvidia. However, there are so many companies that have domain expertise, companies that have sovereignty reasons, they do their own research, those companies need to have control and ownership over their own intellectual proprietary. Open sourced models have become sufficiently good to allow companies to build their own AI."

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122,906 次观看 • 1 个月前