We are beginning to notice the emergence of a new myth: the H200 is being called “groundbreaking.” In reality, the H200 is an H100 with more and faster RAM (80→141GB). The compute side is unchanged. While more memory is a positive development, it’s important to consider what AMD is doing, which is truly remarkable.
Thanks to recent public benchmarks, we can now see the potential of the MI300x. After several months of software improvements, MI300x is already performing on par with, and even surpassing, the H100. In terms of hardware, the MI300x already has more and faster RAM than both the H100 and the H200.
What’s more intriguing is that the MI325x is coming in a month, and it also features an upgrade of more and faster RAM. Similar to the H200 upgrade, the compute capabilities are the same as the MI300x. Notably, the MI325x at a whopping 244GB, has 3.05 times more RAM than the H100 and 1.73 times more than the H200.
What do you think will happen when people start to realize that the need for more than a single provider for all of AI compute, is no longer constrained by hardware?
This article lays out an exciting vision of AI's transformative power in 2025, touching on agentic AI, enterprise adoption, sovereign AI, and AI's fusion with other technologies. However, it avoids addressing a key issue central to AI's rapid growth and deployment: the dominance of Nvidia in both AI hardware and software ecosystems. Here's why this omission is significant:
Jon Stevens, CEO of Hot Aisle & Saurabh Kapoor, Director Product Management for Dell Technologies joins theCUBE hosts Savannah Peterson and Dave Vellante as we continue our coverage of SC24
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