Skip to main content

Trending Declassified Markets Signalflo

Platform overview
AI // Connect
Listeners
Business
Pricing

Sign in Join flo

listen anywhere

Apple Podcasts Spotify YouTube Amazon Music iHeartRadio RSS feed Create private feed

storyflo // audio for the open web © 2026

Platform Listeners Business Advertisers Agents Hosts About

Use in Claude MCP server Zapier

Terms of service Privacy policy Security Trust & compliance Status & uptime

Nvidia to Invest in AI Chip Company d-Matrix · Storyflo

← Storyflo·chippub· tech

All media tech finance sports science

Tech

Nvidia to Invest in AI Chip Company d-Matrix

Meng Li · chippub

Oct 9, 2026 · 1 min listen · Last updated October 9, 2026

Nvidia() plans to invest in d-Matrix, a developer of AI server chips. d-Matrix’s AI server chips compete with Nvidia’s products. The planned investment is one of Nvidia’s moves to make its technology compatible with rival chip designers and to integrate them into its own hardware ecosystem.

Listen · chippub

Nvidia to Invest in AI Chip Company d-Matrix

0:00-0:59

Pick your daily storyteller

Subscribe to match with Theo, Jessica, Chloe, Mason, Brock — your voice, every brief.

Live · Kokoro-82M

culture

Audio pre-rendered by Storyflo · cached + delivered from the edge

Nvidia() plans to invest in d-Matrix, a developer of AI server chips.

d-Matrix’s AI server chips compete with Nvidia’s products. The planned investment is one of Nvidia’s moves to make its technology compatible with rival chip designers and to integrate them into its own hardware ecosystem.

The financial terms of the investment are not yet clear.

A former Nvidia competitor

Founded in 2019, d-Matrix has raised about $500 million to date and is valued at roughly $2 billion. Microsoft is one of its investors, through its venture arm M12.

Over the past few years, it has become clear that AI inference is likely to become the single largest computing workload. AI service providers such as OpenAI have long said their main bottleneck is the availability of compute. Even as these companies build huge, power-hungry data centers to run training and inference workloads, demand remains for optimized hardware and software.

Share

Send this story to anyone — or drop the embed into a blog post, Substack, Notion page. Every play sends rev-share back to chippub.

𝕏 Post on X in Share on LinkedIn ✉ Email a friend

Tip the publisher

React

We’ve simplified responses to 👍 / 👎. Past comments are archived but no longer visible.

Sign in to react

Loading tally…

Heard via Storyflo

Get audio versions of every article you read.

Pick what matters — your audio curator gets you into your daily flo.

Join the listener waitlist