AMD Instinct GPUs Accelerators
Despite their widespread availability, AMD Instinct GPUs compete fiercely for the resources needed to execute large language models (LLMs)
These models place heavy demands on memory and processing power due to their reliance on processing billions of parameters at once
The AMD MI300X accelerator exceeds the Nvidia H200 by a substantial amount with 5.3 TB/s peak memory bandwidth
In contrast, the Nvidia H200, with 141 GB of HBM2e memory, may need to split models
Its huge memory capacity and high bandwidth allow the MI300X GPU to perform tasks that the H200 would take multiple AMD Instinct GPUs to do
It might require less GPUs to run a model like ChatGPT on the MI300X than it would on the H200
Deep-learning models conduct sophisticated numerical computations like matrix multiplications and tensor operations, therefore efficiency is critical
AMD Instinct GPUs, such as the MI300X, are used by the Microsoft Azure cloud platform to improve enterprise AI services
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