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GPU Comparison

NVIDIA A100 80GB vs AMD Instinct MI300X

How the NVIDIA A100 80GB and AMD Instinct MI300X compare across memory, compute, power and form factor, with the stronger figure highlighted on each row. Vendor-specific figures (CUDA vs stream processors, Tensor vs matrix cores) are listed on their own rows.

Specification NVIDIA A100 80GB AMPERE NVIDIA A100 80GB View Product → CDNA 3 AMD Instinct MI300X NVIDIA alternative: NVIDIA H100 SXM →
Pricing
Price – Not sold by NVNexus
Overview
Architecture Ampere AMD CDNA 3
Memory
Memory 80 GB HBM2e 192 GB HBM3
Memory Bandwidth 2,039 GB/s 5.3 TB/s
Memory Interface – 8192-bit
Compute
Stream Processors (AMD) – 19,456 (304 CUs)
Matrix Cores / AI Accelerators (AMD) – 1,216
FP32 19.5 TFLOPS 163.4 TFLOPS (matrix)
FP64 Tensor 19.5 TFLOPS 163.4 TFLOPS (matrix)
TF32 Tensor 312 TFLOPS (Sparse) 653.7 TFLOPS / 1,307 (sparse)
FP16/BF16 Tensor 624 TFLOPS (Sparse) 1,307 TFLOPS / 2,615 (sparse)
FP8 Tensor – 2,615 TFLOPS / 5,230 (sparse)
INT8 Tensor 1,248 TOPS (Sparse) 2,615 TOPS / 5,230 (sparse)
Platform
Interface Gen4 PCIe Gen5 x16
NVLink / Infinity Fabric 600 GB/s Infinity Fabric, 896 GB/s aggregate
TDP 400W 750W
Form Factor – OAM module (8-GPU platform)
Multi-Instance GPU (MIG) Up to 7 instances –
Cooling – Passive (chassis airflow)
Transistors – 153 billion
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