AI COMPUTE•NVIDIA•GPU CLOUD•DATA CENTERS•SEMICONDUCTORS•ENERGY•FUNDING•M&A•AI COMPUTE•NVIDIA•GPU CLOUD•DATA CENTERS•SEMICONDUCTORS•ENERGY•FUNDING•M&A•
AI Infrastructure

Nvidia launches new open models to run agents in the enterprise and on PCs

Chipmaker introduces open models for enterprise and on-device agent deployment

By GPU Data Hub Desk · GPU Data Hub·Editorial standards·

Nvidia has rolled out new open models intended to support autonomous AI agents running directly on local PCs and corporate servers. The move targets enterprises looking to deploy private agentic software across on-premises data centres and client hardware.

Original source

This summary was written by the GPU Data Hub desk from reporting published by TechCrunch on 19 Oct 2026, 15:37. Read the full article at the original publisher.

Read Original Source →

By subscribing you consent to receive the daily briefing. Unsubscribe at any time. See our privacy policy.

LinkedInX

More from GPU Data Hub

Latest →

NVIDIA Advances Agentic Security for Media, From European Public Service Broadcasting to Global Content Production

Nvidia has announced a partnership with the European Broadcasting Union to build out sovereign frameworks for digital media, combining cloud infrastructure and open models. Unveiled during an industry event in Berlin alongside Adobe, Bertelsmann, and UFA, the initiative aims to enhance agentic security and intelligent production across European broadcasting. The collaboration focuses on establishing scalable, secure technical pipelines for public service and commercial content creators.

AI Infrastructure··NVIDIA Newsroom

AI’s epic cash call is matched only by its ability to strangle revenue streams

Soaring capital expenditure required for artificial intelligence development continues to test the technology sector amidst uncertainty over monetisation. Questions are mounting over whether deployable models will cannabilise existing revenue channels faster than they can create profitable new ones. The dynamic highlights a growing tension between massive infrastructure spending and near-term commercial returns.

AI Infrastructure··The Register

AI inference is running into a memory bottleneck. Huawei wants to tackle it with OceanStor M900

Huawei has unveiled its OceanStor M900 storage system to alleviate memory throughput constraints in artificial intelligence inference. Branded as Context Memory Storage, the platform is targeted at lowering expenses and boosting the operational efficiency of large-scale deployments. The product release focuses on solving performance bottlenecks that emerge when running production-grade AI models.

AI Infrastructure··The Register

TechCrunch Mobility: Rivian’s next act

A recent edition of TechCrunch Mobility examines the evolving commercial strategy of electric vehicle manufacturer Rivian. The newsletter highlights the expanding influence of artificial intelligence across future transport technologies and automotive manufacturing.

AI Infrastructure··TechCrunch

Always on, always listening: New AI devices are pushing legal limits and could put users in jeopardy

A growing cohort of continuous-listening wearable devices produced by major tech firms and start-ups is testing established privacy regulations. Offerings from enterprises such as Apple, Amazon, and Meta have sparked apprehension regarding covert audio capture and regulatory compliance. Industry observers warn that circumventing traditional consent frameworks could expose users and vendors to mounting legal vulnerabilities.

AI Infrastructure··CNBC Technology