GPUs accelerate model training by providing memory bandwidth needed for large datasets and freeing up CPU resources for other tasks.
Teams self-hosting LLMs should understand that choosing an appropriate GPU is one of the most consequential decisions, as it has a direct bearing on performance, latency and cost. Factors to be taken into account include CUDA cores, Tensor cores, VRAM memory size and price.
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The top GPUs for large language models (LLMs) offer the perfect balance of performance, cost,
