Site icon Aragon Research

Nvidia and the Escalating Chip War With China

By Adam Pease

 

Nvidia and the Escalating Chip War With China

The US Commerce Department just announced new restrictions aimed at limiting the export of high-tech chips, particularly those that power cutting-edge AI sold by companies like Nvidia.

This blog discusses the news and its implications for the generative AI market.

Chips Amidst the AI Arms Race

The US has long sought to govern its semiconductor trade with China more tightly. In the past, regulations have limited the ability of Chinese companies to buy both chips and the capital equipment required to assemble new facilities for fabricating silicon (fabs). This new wave of export regulation, however, emerges against the backdrop of what is shaping up to be a global arms race for AI capabilities.

Generative AI, powered by state-of-the-art large language models (LLMs) has been widely recognized as a major potential driver of GDP growth. As the private sector scrambles to deploy enterprise-ready offerings, Washington is keeping an eye on this emerging technology, both in terms of internal regulation and external export controls.

As the US seeks to establish its regime of regulatory governance for private sector AI development, it simultaneously seeks to limit the growth of Chinese capabilities and preserve its leading edge in the global AI arms race.

Nvidia and the Global AI Market

While California-based OpenAI still leads the market with its cutting-edge GPT models, Chinese technology is catching up. The most cutting-edge language models trained in China, built by companies like Baidu, are trained on American-made Nvidia GPUs.

While the new export controls do not explicitly prohibit the sale of Nvidia’s new, highly-powerful H800 line of chips, the standard guidelines for selling chips have been widely viewed as a prohibition to target the sale of H800s to China.

As a result, Nvidia stock plummeted on the 17th, and some have raised caution that the new legislation may be overly broad or punishing for chip manufacturers.

This comes at a time when there is high-demand for Nvidia chips domestically on the heels of a global semiconductor shortage, so there is a possibility that generative AI startups and enterprise scaling will fill the void left by the Chinese market.

Bottom Line

With its choice to limit the sale of high-powered AI chips to China even further, the US government commits to its continued posture of export control in the global AI arms race.

We cannot say for sure what the effects will be for the generative AI market, which will see some lost chip sales, but also the possibility for a unique set of opportunities for American businesses.


TIME TO TRANSFORM: Catch Analyst, Adam Pease at #Transform2023 for Our Virtual Morning Session!

Tuesday, December 5th at 10 AM PT | 1 PM ET

 

Our 13th Annual Event of the Year, Transform 2023 is Near!

Kick-off Transform 2023 with our expert analysts will share an insightful presentation–which will include 2024 market predictions!

We will then invite our executive guest panel to the virtual stage. Finally, our 2023 Hot Vendor award winners will be announced.

Register Today


 

This blog is part of the Content AI blog series by Aragon Research’s Analyst, Adam Pease.

Missed the previous installments? Catch up here:

Blog 1: RunwayML Foreshadows the Future of Content Creation

Blog 2: NVIDIA Enters the Text-to-Image Fray

Blog 3: Will OpenAI’s New Chatbot Challenge Legacy Search Engines?

Blog 4: Adobe Stock Accepts Generative Content and Meets Backlash

Blog 5: OpenAI Makes a Move for 3D Generative Content with Point-E

Blog 6: ChatGPT and the Problem of Detecting AI-Generated Content

Blog 7: Content AI: Voice AI Takes a Step Forward

Blog 8: AI in the Courtroom: Are Robot Lawyers the Future of Law?

Blog 9: GitHub Copilot and the Legality of Generative Content

Blog 10: Google Steps into the Chat AI Ring with Bard, Anthropic Investment

Blog 11: Exploring Google Bard’s Botched Demo

Blog 12: Meta AI Is Working at the Intersection of Robotics and Generative AI

Blog 13: Meta’s New AI Model Leaks

Blog 14: Students in China Use ChatGPT from Behind the Firewall

Blog 15: OpenAI’s ChatGPT API Will Transform Application Experiences

Blog 16: Microsoft Announces Copilot X, GPT-4 Integration

Blog 17: BloombergGPT Brings Generative AI to Finance

Blog 18: Stability AI Releases Its First Large Language Model: StableLM

Blog 19: OpenAI to Patent ‘GPT’

Blog 20: Pinecone and the Power of Vector Databases for AI

Blog 21: Alphabet Plans New Generative AI Announcements for Google I/O

Blog 22: Europe Moves to Regulate Generative AI

Blog 23: OpenAI Introduces Code Interpreter Plugin for ChatGPT

Blog 24: Generative AI and the Labor Market: Is It Causing Job Loss?

Blog 25: OpenAI Announces Function Calling for Its GPT-4 API

Blog 26: The State of Open-Source Language Models

Blog 27: The State of Generative Video

Blog 28: Google’s “Genesis”: A News Writing AI Shocking Journalists

Blog 29: OpenAI Brings Custom Instructions to ChatGPT

Blog 30: New York Times Limits Use of Data for Generative AI

Blog 31: Faced With Generative AI, Teachers Are Returning to Paper and Pen

Blog 32: Anthropic Partners with SKT for Telecom Language Model

Blog 33: Federal Judge Rules AI-Generated Works Are Not Copyright-Protected

Blog 34: AI in the Classroom: A Reflection on Gwinnett County’s Trailblazing Initiative

Blog 35: Zoom’s New Generative AI Push

Blog 36: Google Will Flag AI-Generated Content

Blog 37: Writer Is Helping Bring Generative AI to the Enterprise

Blog 38: ChatGPT Gains Internet Access

Blog 39: OpenAIs DALL-E 3 Meets Bing AI Services: A New Era in Image Generation

Blog 40: AI’s Integration into Modern Healthcare

Exit mobile version