The optimal cloud GPU rental for running large language models (LLMs) in 2026 depends on the specific model size and workload, with a focus on tokens per dollar rather than hourly rates. For smaller models (7B-13B), budget-friendly RTX 4090s are recommended, while 34B models benefit from 48GB cards like the RTX 6000 Ada-class or A100 80GB. Larger 70B models can utilize A100 or H100 GPUs, with a cost-effective alternative being two RTX 4090s. For frontier models or extended context windows, H200 and B200 GPUs offer the necessary VRAM and performance, though availability may be limited. AI
IMPACT Guides users on selecting cost-effective cloud GPU rentals for LLM inference, optimizing for tokens per dollar based on model size and workload.
RANK_REASON The article provides practical advice on selecting cloud GPUs for LLM inference, focusing on cost-effectiveness and performance trade-offs based on model size and workload type.
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