Skye Jacobs

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What just happened? AMD's Instinct MI300 has quickly established itself as a major player in the AI accelerator market, driving significant revenue growth. While it can't hope to match Nvidia's dominant market position, AMD's progress indicates a promising future in the AI hardware sector.

AMD's recently launched Instinct MI300 GPU has quickly become a massive revenue driver for the company, rivaling its entire CPU business in sales. It is a significant milestone for AMD in the competitive AI hardware market, where it has traditionally lagged behind industry leader Nvidia.

During the company's latest earnings call, AMD CEO Lisa Su said that the data center GPU business, primarily driven by the Instinct MI300, has exceeded initial expectations. "We're actually seeing now our [AI] GPU business really approaching the scale of our CPU business," she said.

This achievement is particularly noteworthy given that AMD's CPU business encompasses a wide range of products for servers, cloud computing, desktop PCs, and laptops.

The Instinct MI300, introduced in November 2023, represents AMD's first truly competitive GPU for AI inferencing and training workloads. Despite its relatively recent launch, the MI300 has quickly gained traction in the market.

Financial analysts estimate that AMD's AI GPU revenues for September alone were greater than $1.5 billion, with subsequent months likely showing even stronger performance.

The MI300 specs are very competitive in the AI accelerator market, offering significant improvements in memory capacity and bandwidth.

The MI300X GPU boasts 304 GPU compute units and 192 GB of HBM3 memory, delivering a peak theoretical memory bandwidth of 5.3 TB/s. It achieves peak FP64/FP32 Matrix performance of 163.4 TFLOPS and peak FP8 performance reaching 2,614.9 TFLOPS.

The MI300A APU integrates 24 Zen 4 x86 CPU cores alongside 228 GPU compute units. It features 128 GB of Unified HBM3 Memory and matches the MI300X's peak theoretical memory bandwidth of 5.3 TB/s. The MI300A's peak FP64/FP32 Matrix performance stands at 122.6 TFLOPS.

The success of the Instinct MI300 has also attracted major cloud providers, such as Microsoft. The Windows maker recently announced the general availability of its ND MI300X VM series, which features eight AMD MI300X Instinct accelerators. Earlier this year, Microsoft Cloud and AI Executive Vice President Scott Guthrie said that AMD's accelerators are currently the most cost-effective GPUs available based on their performance in Azure AI Service.

While AMD's growth in the AI GPU market is impressive, the company still trails behind Nvidia in overall market share. Analysts project that Nvidia could achieve AI GPU sales of $50 to $60 billion in 2025, while AMD might reach $10 billion at best.

However, AMD CFO Jean Hu noted that the company is working on over 100 customer engagements for the MI300 series, including major tech companies like Microsoft, Meta, and Oracle, as well as a broad set of enterprise customers.

The rapid success of the Instinct MI300 in the AI market raises questions about AMD's future focus on consumer graphics cards, as the significantly higher revenues from AI accelerators may influence the company's resource allocation. But AMD has confirmed its commitment to the consumer GPU market, with Su announcing that the next-generation RDNA 4 architecture, likely to debut in the Radeon RX 8800 XT, will arrive early in 2025.

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All GPU R&D went this way yeah? I don't have high hopes for Radeon 8000, lets see in a few months.
 
RDNA 4 was primarily a collaboration between AMD and SONY.

This is actually quite promising for the future.
 
Anyone who thinks that AMD or nVidia care about the gaming market is clueless to the obvious fact that they only care about the server, mainframe and AI market.
 
We lost. AI won. My most immediate conclusion.
 
If you consistently point to a pile of poo for long enough and tell people it's artificially intelligent, they will eventually give up on arguing with you. That was the birth of the "AI" industry.
 
And this is why AMD is going with UDNA and taking a enterprise first approach.

Ultimately it will be good for their consumer graphics division, since consumer design R&D will basically be paid for by enterprise and the actual design and manufacture is a very small part of the overall cost, consumer GPU sales will more or less be a "freebee".

Might even promote more "moon shot" or disruptive designs from AMD if the consumer graphics division is freed up from having to justify a huge R&D expense.
 
This explains why they put aside the high end gpu market.
 
Yet only a few months ago AMD was getting hammered by so-called experts, because MI300 wasn't selling well against the Nvidia offerings. Of course this was only a short time after it had launched so was a mor0nic article.

And no it does not explain why they put aside big Navi for RDNA4. High-end was killed because it was performing so poorly and was much more complex than N31. It was made up of 20 chiplets compared to only 7 for N31. They decided to cancel it and send those resources to the separate RDNA5 team whose work is proceeding very well. Getting big Navi to work for RDMNA4 would have meant RDNA5 being delayed by at least 12-18 months meaning it would almost be facing Rubin not Blackwell.

After RDNA5 will we see UDNA 6 most likely rather than RDNA6 as they offer unified product stack for future gpu's. Big Navi is not dead.
 
Yet only a few months ago AMD was getting hammered by so-called experts, because MI300 wasn't selling well against the Nvidia offerings. Of course this was only a short time after it had launched so was a mor0nic article.

And no it does not explain why they put aside big Navi for RDNA4. High-end was killed because it was performing so poorly and was much more complex than N31. It was made up of 20 chiplets compared to only 7 for N31. They decided to cancel it and send those resources to the separate RDNA5 team whose work is proceeding very well. Getting big Navi to work for RDMNA4 would have meant RDNA5 being delayed by at least 12-18 months meaning it would almost be facing Rubin not Blackwell.

After RDNA5 will we see UDNA 6 most likely rather than RDNA6 as they offer unified product stack for future gpu's. Big Navi is not dead.
I'm really interested in seeing how GPU chiplets turn out in RDNA5. AMD needs to deliver with this at least on the value side.
 
One take I have from the article is the fact that AMD is in a much better financial position then just a couple of years ago and this means they'll be around longer. Sure it would be nice to have a competitor for the 5090 but you know what, I'm using a 6800 and if I need to, I have an 5600xt that works just fine for everything I do on my computer so I don't need to upgrade anytime soon.
 

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