TensorWave thinks it can break Nvidia’s grip on AI compute with an AMD-powered cloud

Quick Summary:

GPUs are essential for training and running AI models; they contain thousands of cores that work in parallel to quickly perform the linear algebra equations scaffolding the models.

Chipmaker Nvidia notched $30 billion in revenue last fiscal quarter, driven in large part by the AI industry’s insatiable demand for GPUs.

So what made three entrepreneurs with little knowledge of the hyperscaler landscape think they could compete with titans of AI industry? Tenacity, basically.“We believed we could solve the GPU supply problem,” Horton said.

---

More Pictures

---

Read Quick SummarySave Time

or

Article Details

Author / Journalist: Kyle Wiggers

Category: StartupsBusiness

Markets: United StatesCuba

Topics: Fundraising AI Amd Funding Tensorwave Startup Enterprise Cloud Startups

Source Website Secure: Yes (HTTPS)

News Sentiment: Neutral

Fact Checked: Legitimate

Article Type: News Report

Published On: 2024-10-08 @ 12:00:00 (14 hours ago)

News Timezone: GMT -5:00

News Source URL: techcrunch.com

Language: English

Article Length: 1666 words

Reading Time: 10 minutes read

Sentences: 52 lines

Sentence Length: 33 words per sentence (average)

Platforms: Desktop Web, Mobile Web, iOS App, Android App

Copyright Owner: © TechCrunch

News ID: 22953627

View Article Analysis

About TechCrunch

Main Topics: StartupsBusiness

Official Website: techcrunch.com

Update Frequency: 8 posts per day

Year Established: 2005

Headquarters: United States

News Last Updated: 9 hours ago

Coverage Areas: United States

Ownership: Independent Company

Publication Timezone: GMT -5:00

Content Availability: Worldwide

News Language: English

RSS Feed: Available (XML)

API Access: Available (JSON, REST)

Website Security: Secure (HTTPS)

Publisher ID: #1

Publisher Details

Frequently Asked Questions