NVIDIA A100 80GB VS NVIDIA A100 40GB

Both the A100 80GB and A100 40GB are built on NVIDIA's Ampere architecture. This comparison helps you choose between different configurations within the same GPU family.

NVIDIA

A100 80GB

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

A100 40GB

VRAM 40GB
FP32 19.5 TFLOPS
TDP 250W
From $0.89/h Estimated Price

📊 Detailed Specifications Comparison

Specification A100 80GB A100 40GB Difference
Architecture & Design
Architecture Ampere Ampere -
Process Node 7nm 7nm -
Target Market datacenter datacenter -
Form Factor SXM4 / PCIe SXM4 / PCIe -
Memory
VRAM Capacity 80GB 40GB +100%
Memory Type HBM2e HBM2 -
Memory Bandwidth 2.0 TB/s 1.5 TB/s +31%
Memory Bus 5120-bit 5120-bit -
Compute Units
CUDA Cores 6,912 6,912
Tensor Cores 432 432
Performance (TFLOPS)
FP32 (Single Precision) 19.5 TFLOPS 19.5 TFLOPS
FP16 (Half Precision) 312 TFLOPS 312 TFLOPS
TF32 (Tensor Float) 156 TFLOPS N/A
FP64 (Double Precision) 9.7 TFLOPS N/A
Power & Connectivity
TDP (Power) 400W 250W +60%
PCIe PCIe 4.0 x16 PCIe 4.0 x16 -
NVLink NVLink 3.0 (600 GB/s) Not available -

🎯 Use Case Recommendations

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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 40GB.

AI Inference

NVIDIA A100 40GB

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

💰

Budget-Conscious Choice

NVIDIA A100 80GB

Compare live pricing to find the best value for your specific workload.

NVIDIA A100 80GB is Best For:

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

NVIDIA A100 40GB is Best For:

  • Mainstream AI training
  • Scientific computing
  • Memory-intensive LLM training

Frequently Asked Questions

Which GPU is better for AI training: A100 80GB or A100 40GB?

For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The A100 80GB offers 80GB of HBM2e memory with 2.0 TB/s bandwidth, while the A100 40GB provides 40GB of HBM2 with 1.5 TB/s bandwidth. For larger models, the A100 80GB's higher VRAM capacity gives it an advantage.

What is the price difference between A100 80GB and A100 40GB in the cloud?

Cloud GPU rental prices vary by provider and region. Check our price tracker for the latest rates from 50+ cloud providers.

Can I use A100 40GB instead of A100 80GB for my workload?

It depends on your specific requirements. If your model fits within 40GB of VRAM and you don't need the additional throughput of the A100 80GB, the A100 40GB can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the A100 80GB's NVLink support (NVLink 3.0 (600 GB/s)) may be essential.

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