How to Choose the Best GPU for Your AI Workloads
SMRTR summary
Selecting the right GPU for AI work depends on matching hardware to your specific workload. Training large language models requires 24-80GB of VRAM and high memory bandwidth, making cards like the RTX 4090 or cloud-based A100s ideal, while inference needs less memory and prioritizes efficiency. Occasional users should rent cloud GPUs at $1-3 per hour, while heavy users can justify purchasing consumer cards that pay for themselves within months of constant use.
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