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AMD AI Chip Challenges Nvidia’s H100 as Rivalry Enters New Era

2 mins
Updated by Geraint Price
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In Brief

  • Nvidia faces a new AI challenge from AMD's MI300X chip that is already being used by the likes of Microsoft and Meta Platforms.
  • The chip firm announced the device yesterday, coupled with a software platform, ROCm6, to help companies diversify AI vendors.
  • Some companies are still using GPUs to mine cryptocurrencies despite the industry preference for more profitable ASIC devices.
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Advanced Micro Devices (AMD) has launched its new MI300X artificial intelligence (AI) computer processor to challenge Nvidia’s dominance of the AI hardware market. AMD’s chip will compete with Nvidia’s H100, continuing a public spat over who could make the most powerful Graphics Processing Units (GPUs).

AMD’s chief executive, Lisa Su, said the MI300X is “the most advanced AI accelerator” in the industry. Experts confirmed the MI300X outranks Nvidia’s H100 in raw specs.

AMD and Nvidia Share AI Spoils

AMD also launched its ROCm6 platform to support device programming. OpenAI will add support for programming the MI300X in its Triton AI software. Microsoft and Meta are already using the chip for their AI workloads. 

AMD AI Nvidia, AI Chip Market Size Growth
AI Chip Market Size Growth | Source: Statista

Companies processing AI algorithms for clients are diversifying their hardware. Amazon Web Services, which recently struck a deal with OpenAI rival Anthropic, will use its own Trainium2 AI chip and Nvidia’s new H200 for AI workloads. Microsoft is also expanding its hardware to include the H200 and its own Maia 100.

The MI300X continues the decades-long rivalry between Nvidia and AMD. While AMD struggled to compete with the likes of Intel for central processing unit market share, the gap between the performances of its graphics processing units (GPUs) and Nvidia’s became narrower as time went on. While AMD cards trail Nvidia in ray-tracing and creative performance, AMD offers comparable performance when running games in 4K.

The Future of Crypto Mining GPUs

Before the launch of OpenAI’s ChatGPT bot, some of Nvidia’s GPUs were being used to mine cryptocurrencies. Before the network transitioned to proof-of-stake, Ethereum relied heavily on GPUs to finalize transactions.

Read more: What is Cryptocurrency Mining?

Since Ethereum transitioned, GPU miners of other coins are likely to only break even after years of mining. They may be better off joining mining pools, as application-specific integrated circuit (ASIC) machines have become the preferred option for large mining companies

Read more: Top Cryptocurrency Mining Pools To Join 2023

Some companies, like Vancouver-based Hive, use a combination of ASICs and GPUs. Other companies, like Northern Data and Iris Energy, recently bought GPUs to offer AI services to supplement mining revenues. 

Do you have something to say about the rivalry between AMD and Nvidia moving from GPUs to AI, or anything else? Please write to us or join the discussion on our Telegram channel. You can also catch us on TikTokFacebook, or X (Twitter).

Top crypto platforms in the US | February 2024

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David Thomas
David Thomas graduated from the University of Kwa-Zulu Natal in Durban, South Africa, with an Honors degree in electronic engineering. He worked as an engineer for eight years, developing software for industrial processes at South African automation specialist Autotronix (Pty) Ltd., mining control systems for AngloGold Ashanti, and consumer products at Inhep Digital Security, a domestic security company wholly owned by Swedish conglomerate Assa Abloy. He has experience writing software in C,...
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