Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
  • AI
  • Tech
  • Cybersecurity
  • Finance
  • DeFi & Blockchain
  • Startups
  • Gaming
Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
Dataconomy
No Result
View All Result

Samsung wants to catch NVIDIA in the AI chip race with Mach-1

However, you'll need to wait until 2025 to see Samsung's Mach-1 AI accelerator chips in action

byEray Eliaçık
March 21, 2024
in Artificial Intelligence
Home News Artificial Intelligence
Share on FacebookShare on TwitterShare on LinkedInShare on WhatsAppShare on e-mail

During its 55th annual shareholders’ meeting, Samsung Electronics made waves with its declaration of intent to enter the AI processor market, aiming squarely at NVIDIA’s dominance.

The spotlight shone on Samsung’s forthcoming Mach-1 AI accelerator chips, poised to hit the market in early 2025, as the South Korean tech titan gears up to challenge NVIDIA in the rapidly expanding AI hardware sector.

This coverage was made on March 21, 2024, and was renewed with updated information on March 28, 2024.

Naver Corporation, previously a NVIDIA client, is now considering alternative hardware options, signaling a shift in strategy. Samsung’s proposed $752 million investment suggests a deepening collaboration between the two companies, with Samsung set to supply its Mach-1 AI chips to Naver by year-end. Naver and Samsung are jointly developing energy-efficient AI accelerators, aiming to surpass existing solutions like NVIDIA’s H100. Speculation surrounds Naver’s potential bulk order of 150,000 to 200,000 Samsung Mach-1 AI chips, indicating a significant move in the AI hardware market.

Stay Ahead of the Curve!

Don't miss out on the latest insights, trends, and analysis in the world of data, technology, and startups. Subscribe to our newsletter and get exclusive content delivered straight to your inbox.

Samsung wants to catch NVIDIA in the AI chip race with Mach-1
Samsung Electronics unveiled its Mach-1 AI accelerator chips during its 55th annual shareholders’ meeting (Image credit)

The Mach-1 generation of chips, featuring an application-specific integrated circuit (ASIC) design coupled with LPDDR memory, is strategically tailored for edge computing applications. While Samsung isn’t looking to directly outgun NVIDIA’s high-end offerings like the H200 or Blackwell Platfrom, it’s setting its sights on creating a distinctive niche in the market, prioritizing efficiency and performance enhancements at the edge.

SeDaily revealed a game-changing feature of the Mach-1 chips: a jaw-dropping reduction in memory bandwidth requirements for inference by a whopping 87.5%. This breakthrough innovation positions Samsung as a serious contender, promising unparalleled efficiency and cost-effectiveness that could tip the scales in its favor.

As the demand for AI-powered devices and services skyrockets, Samsung’s entry into the AI chip market is expected to inject fresh competition and drive innovation. Armed with cutting-edge technology and access to advanced semiconductor manufacturing nodes, Samsung is gearing up to challenge NVIDIA’s stronghold in the industry.

While the Mach-1 chips have undergone field verification on an FPGA, the final design is undergoing meticulous optimization for System-on-Chip (SoC) integration, encompassing crucial aspects like placement, routing, and layout. This rigorous refinement underscores Samsung’s commitment to delivering a game-changing solution that redefines the AI hardware landscape.

Samsung wants to catch NVIDIA in the AI chip race with Mach-1
The Mach-1 chips feature an application-specific integrated circuit (ASIC) design and LPDDR memory, specifically optimized for edge computing applications where efficiency is paramount  (Image credit)

In summary, Samsung’s Mach-1 AI accelerator chips represent a bold step towards leveling the playing field with NVIDIA in the AI race. With their impending launch, anticipation is high as Samsung aims to revolutionize AI computing at the edge and stake its claim in the fiercely competitive tech arena.


Featured image credit: Igor Omilaev/Unsplash

Tags: AIchipNvidiaSamsung

Related Posts

ChatGPT might show ads according to a code string

ChatGPT might show ads according to a code string

December 1, 2025
Google might change how Gemini looks and feels

Google might change how Gemini looks and feels

December 1, 2025
ChatGPT turns three today

ChatGPT turns three today

December 1, 2025
Google replaces Assistant with Gemini on Android Auto in 2026

Google replaces Assistant with Gemini on Android Auto in 2026

November 28, 2025
Alibaba launches Quark AI glasses in two distinct price tiers

Alibaba launches Quark AI glasses in two distinct price tiers

November 28, 2025
High demand forces Google to tighten free access to Nano Banana Pro

High demand forces Google to tighten free access to Nano Banana Pro

November 28, 2025

LATEST NEWS

ChatGPT might show ads according to a code string

Tor replaces legacy encryption to block traffic tagging attacks

Google might change how Gemini looks and feels

You might pay for a PlayStation game with a stablecoin soon

Why this country bans Android for senior officers over malware fears

ChatGPT turns three today

Dataconomy

COPYRIGHT © DATACONOMY MEDIA GMBH, ALL RIGHTS RESERVED.

  • About
  • Imprint
  • Contact
  • Legal & Privacy

Follow Us

  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
No Result
View All Result
Subscribe

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy Policy.