A10 24GB vs L4

The A10 24GB is built on the GA102 architecture (Ampere, Samsung 8nm), while the L4 uses AD104 (Ada Lovelace, TSMC 4N). The A10 24GB delivers 125 TFLOPS of FP16/BF16 throughput — 2.1× the 60.6 TFLOPS of the L4. Neither GPU supports FP8 precision.

Memory capacity and bandwidth are the primary constraints for large language model workloads. The A10 24GB provides 24GB of GDDR6 — the same capacity as the L4, though in GDDR6. Memory bandwidth favors the A10 24GB at 600 GB/s — 2.0× the 300 GB/s of the L4. Neither GPU supports NVLink — each card is an independent VRAM island.

Power consumption shapes rack density and operating cost. The L4 draws 72W TDP versus 150W for the A10 24GB. On a TFLOPS-per-watt basis, the L4 is the more efficient option, delivering 61 TFLOPS at 72W.

The A10 24GB is best suited for Inference serving, Graphics + compute, Low-power deployments. The L4 targets Efficient inference, Edge deployments, Low-power serving. For high-density inference racks where power budget is the constraint, the L4's 72W envelope allows more cards per rack than the A10 24GB's 150W. For throughput-bound inference, the A10 24GB's higher TFLOPS ceiling gives it an advantage when the model fits in either card's VRAM.