NVIDIA A40 VS NVIDIA A100 80GB

Both the A40 and A100 80GB are built on NVIDIA's Ampere architecture. This comparison helps you choose between different configurations within the same GPU family.

NVIDIA

A40

VRAM 48GB
FP32 37.4 TFLOPS
TDP 300W
From $0.10/h 7 providers
NVIDIA

A100 80GB

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

📊 Detailed Specifications Comparison

Specification A40 A100 80GB Difference
Architecture & Design
Architecture Ampere Ampere -
Process Node 8nm 7nm -
Target Market datacenter datacenter -
Form Factor Dual-slot PCIe SXM4 / PCIe -
Memory
VRAM Capacity 48GB 80GB -40%
Memory Type GDDR6 HBM2e -
Memory Bandwidth 696 GB/s 2.0 TB/s -66%
Memory Bus 384-bit 5120-bit -
Compute Units
CUDA Cores 10,752 6,912 +56%
Tensor Cores 336 432 -22%
Performance (TFLOPS)
FP32 (Single Precision) 37.4 TFLOPS 19.5 TFLOPS +92%
FP16 (Half Precision) N/A 312 TFLOPS
TF32 (Tensor Float) N/A 156 TFLOPS
FP64 (Double Precision) N/A 9.7 TFLOPS
Power & Connectivity
TDP (Power) 300W 400W -25%
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 A40

Based on current cloud pricing, the A40 starts at a lower hourly rate.

NVIDIA A40 is Best For:

  • Visual computing
  • AI inference
  • HPC

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: A40 or A100 80GB?

For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The A40 offers 48GB of GDDR6 memory with 696 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 A40 and A100 80GB in the cloud?

Cloud GPU rental prices vary by provider and region. Based on our data, A40 starts at $0.10/hour while A100 80GB starts at $0.40/hour. This represents a 75% price difference.

Can I use A100 80GB instead of A40 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 A40, the A100 80GB can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the A40's architecture may be essential.

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