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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...

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NVIDIA AI

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11,725 görüntüleme • 4 gün önce •via X (Twitter)

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NVIDIA AI4 gün önce

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:

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NVIDIA AI4 gün önce

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:

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Artificial Inu4 gün önce

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

minime · fireply.ai profil fotoğrafı
minime · fireply.ai4 gün önce

@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 profil fotoğrafı
Harley Lewis Foote4 gün önce

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

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Aapakari4 gün önce

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

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Daniel Smidstrup4 gün önce

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

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Nitin4 gün önce

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

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TechP4 gün önce

@ATT @SoftBank @indosat Interesting

Raja Loganathan profil fotoğrafı
Raja Loganathan3 gün önce

@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 profil fotoğrafı
Patch4 gün önce

@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 profil fotoğrafı
Zero AI4 gün önce

@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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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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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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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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Open source powers every layer of the AI software stack—from agents and models to inference, training and cloud infrastructure. At #OSSummit Korea, Linux Foundation CEO Jim Zemlin explains how open collaboration is making AI faster, more affordable and more accessible. Watch:
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Open source powers every layer of the AI software stack—from agents and models to inference, training and cloud infrastructure. At #OSSummit Korea, Linux Foundation CEO Jim Zemlin explains how open collaboration is making AI faster, more affordable and more accessible. Watch:

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Earlier this week at GTC, we announced our partnership with Nvidia. We will work with Nvidia to build strong, American open-source models that are at the frontier of scientific reasoning. These models will be essential for the US to compete with China on science in the coming decades. Jensen is committing to spend tens of billions of dollars developing open-source models, and we are excited to be a partner with them in figuring out how to benchmark, train and use those agents to accelerate scientific research. We have already open-sourced some of the work we have done with them, and are looking forward to open-sourcing more. There are few things today that are more important. See our blog post below, and watch the video to learn more, narrated by the man himself.
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Earlier this week at GTC, we announced our partnership with Nvidia. We will work with Nvidia to build strong, American open-source models that are at the frontier of scientific reasoning. These models will be essential for the US to compete with China on science in the coming decades. Jensen is committing to spend tens of billions of dollars developing open-source models, and we are excited to be a partner with them in figuring out how to benchmark, train and use those agents to accelerate scientific research. We have already open-sourced some of the work we have done with them, and are looking forward to open-sourcing more. There are few things today that are more important. See our blog post below, and watch the video to learn more, narrated by the man himself.

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"Closed models are cheaper. The reason you need open models is that they give you control". - Nvidia CEO Jensen Huang "One of the things that people misunderstand about open models is this: yes, you can host them yourself, and you can build your own computer. But most people use computers in the cloud. Frankly, I think closed models are cheaper. If you do not build everything yourself, you avoid the significant cost and expertise required to train, fine-tune, maintain, guardrail, evaluate, and keep the model safe. You would also need to build or obtain the computers required to host it. So, there is nothing cheap about doing all of that yourself. The reason you need open models is that they give you control. You can adapt them for your own highly specialized use cases. I think there is a lot of misunderstanding about closed models versus open models. We felt it was important for people to understand that there is a place for both." ---- From "Bloomberg Podcasts" YouTube channel, (full video link in comment)
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"Closed models are cheaper. The reason you need open models is that they give you control". - Nvidia CEO Jensen Huang "One of the things that people misunderstand about open models is this: yes, you can host them yourself, and you can build your own computer. But most people use computers in the cloud. Frankly, I think closed models are cheaper. If you do not build everything yourself, you avoid the significant cost and expertise required to train, fine-tune, maintain, guardrail, evaluate, and keep the model safe. You would also need to build or obtain the computers required to host it. So, there is nothing cheap about doing all of that yourself. The reason you need open models is that they give you control. You can adapt them for your own highly specialized use cases. I think there is a lot of misunderstanding about closed models versus open models. We felt it was important for people to understand that there is a place for both." ---- From "Bloomberg Podcasts" YouTube channel, (full video link in comment)

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AI has two sides: the applications that need intelligence, and the computers that provide it. OptimAI Router brings them closer together. For developers: access a growing range of open AI models through one connection. For node operators: turn your computer into a potential source of AI inference, contributing computing resources to real workloads across the network. One side brings the demand. The other brings the capacity. OptimAI connects them. We're building toward an AI network where developers can access diverse models, more computing resources can participate, and intelligence isn't tied to a single provider. Build with open models. Contribute computing power. Help grow the network. One network. From AI requests to distributed compute. OptimAI Router. Coming soon. ⚡
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NO WAY THIS IS ACTUALLY FREE AND OPEN-SOURCE.. PilotDeck just dropped an open-source agent OS with persistent workspaces, autonomous execution, and intelligent model routing. It routes hard tasks to stronger models and simple tasks to cheaper agents, so you stop burning premium tokens on work that doesn’t need them. Tutorial below:

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Open models are accelerating development and deployment across agentic AI, physical AI, and a growing range of industries. ✨ “We have billions of dollars of supercomputers in operation, so we can develop our open models,” said NVIDIA CEO Jensen Huang in a recent keynote. “That work is starting to attract attention across industries worldwide, as we build frontier AI models in many different domains.” This includes leading open models from NVIDIA, including: ⚙️ NVIDIA Nemotron for agentic AI ⚙️ NVIDIA Cosmos and GR00T for physical AI ⚙️ NVIDIA Alpamayo for autonomous vehicles ⚙️ NVIDIA Clara for biomedical AI Learn more about open source and AI ➡️

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Excited to introduce micro1 Cortex, a contextual evaluation, visibility, and improvement platform for enterprise AI agents. Foundational models are trained for general intelligence, but enterprises need agents that perform reliably inside their unique context: workflows, policies, data environments, and edge cases. Cortex brings trust to enterprise AI by leveraging domain experts and real-world scenarios for any use case to test, diagnose, and improve how agents behave in production.

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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."
1:38

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."

amit

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