Sunday, 1 Mar 2026
Subscribe
logo
  • Global
  • AI
  • Cloud Computing
  • Edge Computing
  • Security
  • Investment
  • Sustainability
  • More
    • Colocation
    • Quantum Computing
    • Regulation & Policy
    • Infrastructure
    • Power & Cooling
    • Design
    • Innovations
    • Blog
Font ResizerAa
Data Center NewsData Center News
Search
  • Global
  • AI
  • Cloud Computing
  • Edge Computing
  • Security
  • Investment
  • Sustainability
  • More
    • Colocation
    • Quantum Computing
    • Regulation & Policy
    • Infrastructure
    • Power & Cooling
    • Design
    • Innovations
    • Blog
Have an existing account? Sign In
Follow US
© 2022 Foxiz News Network. Ruby Design Company. All Rights Reserved.
Data Center News > Blog > AI > DeepSeek reverts to Nvidia for R2 model after Huawei AI chip fails
AI

DeepSeek reverts to Nvidia for R2 model after Huawei AI chip fails

Last updated: August 14, 2025 9:10 pm
Published August 14, 2025
Share
DeepSeek app as the Chinese AI giant's plan to train its new AI model, R2, on Huawei’s Ascend chips has failed and forced a retreat to Nvidia hardware while delaying launch.
SHARE

DeepSeek’s plan to coach its new AI mannequin, R2, on Huawei’s Ascend chips has failed and compelled a retreat to Nvidia whereas delaying launch.

For months, the narrative pushed by Beijing has been considered one of unstoppable technological progress and a march in the direction of self-sufficiency. Nonetheless, actuality has a behavior of biting again. The current troubles of Chinese language AI darling DeepSeek is a textbook instance of the place ambition meets the laborious wall of technical limitations.

After the profitable launch of its R1 mannequin in January, DeepSeek discovered itself beneath strain from China to champion the nationwide trigger. Based on three folks talking to the Financial Times, the message was clear: use Huawei’s chips, not Nvidia’s.

When it got here to really coaching their new R2 mannequin, the sources say DeepSeek bumped into “persistent technical points” with Huawei’s AI chips. The issues had been so basic that the challenge floor to a halt. An individual with information of the state of affairs mentioned this was the principle motive the mannequin’s deliberate launch in Could was scrapped, placing the corporate on the again foot in a market that waits for no-one.

To know why that is such a giant deal, it’s important to know the distinction between AI coaching and inference. Coaching is the laborious half, like sending a pupil to college for years of intense studying. It requires colossal quantities of energy and stability. Inference is the comparatively ‘straightforward’ half, like asking the graduate a query.

DeepSeek found that whereas Huawei’s chips could be prepared for the ultimate examination, they weren’t but as much as the gruelling college course. The corporate had no selection however to change again to Nvidia’s highly effective methods to do the coaching. The sources say DeepSeek’s staff remains to be making an attempt to get the R2 mannequin to work with Huawei chips for the much less demanding inference stage.

See also  How Sakana AI's new evolutionary algorithm builds powerful AI models without expensive retraining

Two folks confirmed that Huawei even despatched its personal staff of engineers to DeepSeek’s workplaces to assist them get the R2 mannequin up and working on their chips. However even with the specialists within the room, they couldn’t get a profitable coaching run.

Speak to anybody within the business, they usually’ll inform you this isn’t an enormous shock. Huawei CEO Ren Zhengfei even mentioned earlier this yr that the US “has exaggerated Huawei’s achievements” and the corporate “shouldn’t be that nice but,” noting its greatest chips are nonetheless a technology behind.

Nonetheless, Beijing remains to be actively pushing its tech giants wish to favour native {hardware}, with the Monetary Instances reporting that companies now need to justify orders of Nvidia’s export-compliant H20 chip. It’s a part of a method to construct a home champion, however it could possibly pressure corporations into making technically-inferior decisions.

Except for the problems confronted with utilizing Huawei’s chips for coaching, DeepSeek founder Liang Wenfeng has reportedly informed his staff he’s dissatisfied with the general progress in the direction of the R2 mannequin. He’s mentioned to be pushing them to goal larger and construct one thing that may maintain the corporate among the many AI business leaders.

For all of the top-down directives and nationwide delight, the legal guidelines of engineering nonetheless apply. DeepSeek’s story is a reminder that within the world race for AI supremacy, there are not any shortcuts. China is taking part in the lengthy sport, however for now, the efficiency crown stays firmly on Nvidia’s head.

See additionally: Ren Zhengfei: China’s AI future and Huawei’s lengthy sport

See also  Gradial raises $5.4 million to bring AI to enterprise marketing workflows

Wish to study extra about AI and massive knowledge from business leaders? Take a look at AI & Big Data Expo happening in Amsterdam, California, and London. The great occasion is co-located with different main occasions together with Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Discover different upcoming enterprise expertise occasions and webinars powered by TechForge here.

Source link

TAGGED: Chip, DeepSeek, Fails, Huawei, Model, Nvidia, reverts
Share This Article
Twitter Email Copy Link Print
Previous Article Vittori Partners with Totum 3D and ShapeUp Studios for Titanium Additive Production Vittori Partners with Totum 3D and ShapeUp Studios for Titanium Additive Production
Next Article Layoffs hit Oracle Cloud teams in US, India, and Canada Layoffs hit Oracle Cloud teams in US, India, and Canada
Leave a comment

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Your Trusted Source for Accurate and Timely Updates!

Our commitment to accuracy, impartiality, and delivering breaking news as it happens has earned us the trust of a vast audience. Stay ahead with real-time updates on the latest events, trends.
FacebookLike
TwitterFollow
InstagramFollow
YoutubeSubscribe
LinkedInFollow
MediumFollow
- Advertisement -
Ad image

Popular Posts

Atsena Therapeutics Raises $150M in Series C Financing

Atsena Therapeutics, a Durham, NC-based clinical-stage gene remedy firm, raised $150M in Collection C funding.…

April 5, 2025

Eclipse Power Networks adopts major grid connection for Colt Data Centre Services

Eclipse Energy Networks, a number one Unbiased Distribution Community Operator (IDNO), has secured a big…

May 25, 2025

Turning Money Talk into Meaningful Content

Finance running a blog helps you construct credibility by educating audiences and sharing cash concepts.…

May 17, 2025

This other member of the “Magnificent Seven” just poured $11 billion into data centers

There are various alternatives for buyers in relation to synthetic intelligence (AI). Breakthroughs in accelerated…

May 7, 2024

Terra CO2 Raises Additional Series B Funding

Terra CO2, a Golden, CO-based ow-carbon constructing supplies firm, raised US$124.5M in new fairness capital.…

July 3, 2025

You Might Also Like

ASML's high-NA EUV tools clear the runway for next-gen AI chips
AI

ASML’s high-NA EUV tools clear the runway for next-gen AI chips

By saad
Poor implementation of AI may be behind workforce reduction
AI

Poor implementation of AI may be behind workforce reduction

By saad
Upgrading agentic AI for finance workflows
AI

Upgrading agentic AI for finance workflows

By saad
Goldman Sachs and Deutsche Bank test agentic AI for trade surveillance
AI

Goldman Sachs and Deutsche Bank test agentic AI in trading

By saad
Data Center News
Facebook Twitter Youtube Instagram Linkedin

About US

Data Center News: Stay informed on the pulse of data centers. Latest updates, tech trends, and industry insights—all in one place. Elevate your data infrastructure knowledge.

Top Categories
  • Global Market
  • Infrastructure
  • Innovations
  • Investments
Usefull Links
  • Home
  • Contact
  • Privacy Policy
  • Terms & Conditions

© 2024 – datacenternews.tech – All rights reserved

Welcome Back!

Sign in to your account

Lost your password?
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.
You can revoke your consent any time using the Revoke consent button.