NVIDIA L40S VS NVIDIA A100 80GB

Comparing NVIDIA's Ada Lovelace-based L40S against the Ampere-based A100 80GB. This cross-generational comparison reveals significant architectural improvements.

NVIDIA

L40S

VRAM 48GB
FP32 91.6 TFLOPS
TDP 350W
From $0.32/h 30 providers
NVIDIA

A100 80GB

VRAM 80GB
FP32 19.5 TFLOPS
TDP 400W
From $0.40/h 36 providers

📊 Detailed Specifications Comparison

Specification L40S A100 80GB Difference
Architecture & Design
Architecture Ada Lovelace Ampere -
Process Node 4nm 7nm -
Target Market datacenter datacenter -
Form Factor Dual-slot PCIe SXM4 / PCIe -
Memory
VRAM Capacity 48GB 80GB -40%
Memory Type GDDR6 HBM2e -
Memory Bandwidth 864 GB/s 2.0 TB/s -58%
Memory Bus 384-bit 5120-bit -
Compute Units
CUDA Cores 18,176 6,912 +163%
Tensor Cores 568 432 +31%
Performance (TFLOPS)
FP32 (Single Precision) 91.6 TFLOPS 19.5 TFLOPS +370%
FP16 (Half Precision) 183.2 TFLOPS 312 TFLOPS -41%
TF32 (Tensor Float) N/A 156 TFLOPS
FP64 (Double Precision) N/A 9.7 TFLOPS
Power & Connectivity
TDP (Power) 350W 400W -13%
PCIe PCIe 4.0 x16 PCIe 4.0 x16 -
NVLink Not available NVLink 3.0 (600 GB/s) -

🎯 Use Case Recommendations

🧠

LLM & Large Model Training

NVIDIA A100 80GB

Higher VRAM capacity and memory bandwidth are critical for training large language models. The A100 80GB offers 80GB compared to 48GB.

AI Inference

NVIDIA A100 80GB

For inference workloads, performance per watt matters most. Consider the balance between FP16/INT8 throughput and power consumption.

💰

Budget-Conscious Choice

NVIDIA L40S

Based on current cloud pricing, the L40S starts at a lower hourly rate.

NVIDIA L40S is Best For:

  • AI inference
  • Generative AI
  • Maximum memory bandwidth

NVIDIA A100 80GB is Best For:

  • AI model training
  • Scientific computing
  • Newest FP8 precision workloads

Frequently Asked Questions

Which GPU is better for AI training: L40S or A100 80GB?

For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The L40S offers 48GB of GDDR6 memory with 864 GB/s bandwidth, while the A100 80GB provides 80GB of HBM2e with 2.0 TB/s bandwidth. For larger models, the A100 80GB's higher VRAM capacity gives it an advantage.

What is the price difference between L40S and A100 80GB in the cloud?

Cloud GPU rental prices vary by provider and region. Based on our data, L40S starts at $0.32/hour while A100 80GB starts at $0.40/hour. This represents a 20% price difference.

Can I use A100 80GB instead of L40S for my workload?

It depends on your specific requirements. If your model fits within 80GB of VRAM and you don't need the additional throughput of the L40S, the A100 80GB can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the L40S's architecture may be essential.

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