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NVIDIA T4 vs NVIDIA L4: Spec Comparison & Buyer's Guide

In AI infrastructure selection, NVIDIA T4 and NVIDIA L4 are two accelerators frequently compared. This article contrasts them item by item — architecture, compute, memory, power, and release cadence — to help you quickly judge which fits training or inference workloads.

Spec Comparison Table​

VendorNVIDIA T4NVIDIA L4
VendorNVIDIANVIDIA
ArchitectureTuring TU104Ada Lovelace AD104
ProcessTSMC 12nmTSMC 4N
Release Date2018 92023 3 GTC
FP8 Compute—485 TFLOPS
FP16 Compute65 TFLOPS—
FP32 Compute8.1 TFLOPS30.3 TFLOPS
INT8 Compute——
Memory Type——
Memory Capacity16 GB GDDR624 GB GDDR6
Memory Bandwidth320 GB/s300 GB/s
TDP Power70 W72 W

Key Differences​

  • Power: NVIDIA T4 has a TDP of 70 W, lower than NVIDIA L4's 72 W, friendlier to datacenter PUE and cooling.
  • Memory capacity: NVIDIA L4 packs 24 GB GDDR6, more than NVIDIA T4's 16 GB GDDR6, more comfortable for single-card hosting of very large models.

Selection Advice​

  • When chasing extreme single-card compute and a mature toolchain, prioritize NVIDIA T4; if budget, power wall, or local support are hard constraints, NVIDIA L4 often fits better. Use this site's AI Compute Card Comparison Tool to validate multiple chips side-by-side before deciding.

FAQ​

What are the main differences between NVIDIA T4 and NVIDIA L4?​

The core difference is architecture and compute density: NVIDIA T4 uses Turing TU104, FP8 ~No public FP8 data, memory 16 GB GDDR6; NVIDIA L4 uses Ada Lovelace AD104, FP8 ~485 TFLOPS, memory 24 GB GDDR6. See the comparison table above.

What is the TDP (power) of NVIDIA T4?​

NVIDIA T4 has a TDP of 70 W; actual whole-system power also includes board, fans, and PUE.

Which is better for large-model training / inference?​

Training values memory capacity, bandwidth, and multi-card interconnect; inference values single-card throughput and power efficiency. Combine the "Key Differences" and "Selection Advice" above with your batch size, model size, and SLA.

How much do NVIDIA T4 and NVIDIA L4 differ in memory capacity?​

NVIDIA T4 is 16 GB GDDR6, NVIDIA L4 is 24 GB GDDR6; the gap directly affects loadable model size and context length.