A10 24GB vs L4 24GB for LLM inference

A10 24GB vs L4 24GB: verdict

A10 24GB vs L4 24GB: the short version is that they tie on VRAM (24GB each), A10 24GB wins on raw memory bandwidth (600 GB/s on the A10 24GB vs 300 GB/s on the L4 24GB, the number that dominates decode throughput), and L4 24GB is the cheaper of the two to rent today. Which of those matters more depends entirely on your workload: a large model or long-context deployment cares most about the VRAM number, while a smaller model serving many short requests cares much more about bandwidth and cost per token. When VRAM is tied, bandwidth and price become the primary levers. Neither the A10 24GB nor the L4 24GB is a universally correct answer — they're built for overlapping but distinct points on the capacity-versus-throughput curve, and the gap between them (in bandwidth and price, and potentially VRAM) is usually the whole reason to pick one over the other rather than defaulting to whichever one you already have access to. The full spec table above covers bf16/fp8 compute throughput, NVLink support, and power draw for both cards, and the models table above shows which currently-popular open-weight models actually fit on each one — the more concrete way to answer 'which GPU do I need' than specs alone.