NVIDIA L4 vs NVIDIA A10

Specs, monthly cost in taka and the workloads each GPU suits, side by side.

NVIDIA L4NVIDIA A10
Memory24 GB GDDR624 GB GDDR6
Memory bandwidth300 GB/s600 GB/s
FP16 / BF16 Tensor242 TFLOPS250 TFLOPS
FP8 Tensor485 TFLOPSNot supported
ArchitectureAdaAmpere
InterconnectPCIe Gen4PCIe Gen4
Indicative rate / hour৳147৳196
10 hours৳1,470৳1,960
40 hours৳5,880৳7,840
100 hours৳14,700৳19,600
Typical fitFast inference, video AI, efficient fine-tuningRendering, vision, medium training workloads

Tensor figures are NVIDIA's published numbers with sparsity (dense is half). Source: L4, A10.

WHICH ONE SHOULD I PICK?

The short answer

Pick the NVIDIA L4 if: You want to serve a chatbot or API on an 8B model (Llama 3.1 8B, Qwen 2.5 7B), run Whisper or do QLoRA fine-tunes of small models at the lowest hourly cost.

Pick the NVIDIA A10 if: You render, run image models such as Stable Diffusion XL, or train mid-sized vision models and want double the L4's memory bandwidth for the same 24 GB.

The NVIDIA A10 costs about 33% more per hour than the NVIDIA L4. If your model fits comfortably on the cheaper GPU and you are not short of time, the cheaper one usually wins. Compare with your own model →

Common questions

Which is faster, the NVIDIA L4 or the NVIDIA A10?

On paper the NVIDIA A10 is faster: 250 TFLOPS vs 242 TFLOPS FP16 tensor (with sparsity). Real-world speed depends on your model, batch size and memory bandwidth.

Which one costs less?

The NVIDIA L4 is ৳147 per hour and the NVIDIA A10 is ৳196, about 33% more. For 40 hours that is ৳5,880 vs ৳7,840.

Which has more memory?

Both have 24 GB.

Which should I choose for my project?

Choose the NVIDIA L4 if: You want to serve a chatbot or API on an 8B model (Llama 3.1 8B, Qwen 2.5 7B), run Whisper or do QLoRA fine-tunes of small models at the lowest hourly cost. Choose the NVIDIA A10 if: You render, run image models such as Stable Diffusion XL, or train mid-sized vision models and want double the L4's memory bandwidth for the same 24 GB.