AMD Instinct MI250 VS NVIDIA A100 80GB

A head-to-head comparison between AMD's Instinct MI250 (CDNA 2) and NVIDIA's A100 80GB (Ampere). Understand the trade-offs between different vendors and architectures.

AMD

Instinct MI250

VRAM 128GB
FP32 45.3 TFLOPS
TDP 500W
From $5.20/h 1 providers
NVIDIA

A100 80GB

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

📊 Detailed Specifications Comparison

Specification Instinct MI250 A100 80GB Difference
Architecture & Design
Architecture CDNA 2 Ampere -
Process Node 6nm 7nm -
Target Market datacenter datacenter -
Form Factor OAM SXM4 / PCIe -
Memory
VRAM Capacity 128GB 80GB +60%
Memory Type HBM2e HBM2e -
Memory Bandwidth 3.2 TB/s 2.0 TB/s +57%
Memory Bus 8192-bit 5120-bit -
Compute Units
Stream Processors 13,312 N/A -
Performance (TFLOPS)
FP32 (Single Precision) 45.3 TFLOPS 19.5 TFLOPS +132%
FP16 (Half Precision) N/A 312 TFLOPS
TF32 (Tensor Float) N/A 156 TFLOPS
FP64 (Double Precision) 45.3 TFLOPS 9.7 TFLOPS +367%
Power & Connectivity
TDP (Power) 500W 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 Instinct MI250 offers 128GB compared to 80GB.

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 A100 80GB

Based on current cloud pricing, the A100 80GB starts at a lower hourly rate.

AMD Instinct MI250 is Best For:

  • HPC
  • Matrix math workloads
  • CUDA native apps

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: Instinct MI250 or A100 80GB?

For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The Instinct MI250 offers 128GB of HBM2e memory with 3.2 TB/s bandwidth, while the A100 80GB provides 80GB of HBM2e with 2.0 TB/s bandwidth. For larger models, the Instinct MI250's higher VRAM capacity gives it an advantage.

What is the price difference between Instinct MI250 and A100 80GB in the cloud?

Cloud GPU rental prices vary by provider and region. Based on our data, Instinct MI250 starts at $5.20/hour while A100 80GB starts at $0.40/hour. This represents a 1200% price difference.

Can I use A100 80GB instead of Instinct MI250 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 Instinct MI250, the A100 80GB can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the Instinct MI250's architecture may be essential.

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