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GPU Comparison

NVIDIA A16 vs AMD Instinct MI325X

How the NVIDIA A16 and AMD Instinct MI325X 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 A16 AMPERE NVIDIA A16 View Product → CDNA 3 AMD Instinct MI325X NVIDIA alternative: NVIDIA H200 SXM →
Pricing
Price – Not sold by NVNexus
Overview
Architecture Ampere AMD CDNA 3
Memory
Memory 64 GB GDDR6 ECC (4× 16 GB) 256 GB HBM3E
Memory Bandwidth 4× 232 GB/s 6 TB/s
Memory Interface – 8192-bit
Compute
CUDA Cores 5,120 (4× 1,280) –
Stream Processors (AMD) – 19,456 (304 CUs)
Tensor Cores 160 (4× 40) –
Matrix Cores / AI Accelerators (AMD) – 1,216
RT Cores / Ray Accelerators 40 (4× 10) –
FP32 – 163.4 TFLOPS (matrix)
FP64 Tensor – 163.4 TFLOPS (matrix)
TF32 Tensor – 653.7 TFLOPS / 1,307 (sparse)
FP16/BF16 Tensor – 1,307 TFLOPS / 2,615 (sparse)
FP8 Tensor – 2,615 TFLOPS / 5,230 (sparse)
INT8 Tensor – 2,615 TOPS / 5,230 (sparse)
Platform
Interface PCIe Gen4 x16 PCIe Gen5 x16
NVLink / Infinity Fabric – Infinity Fabric, 896 GB/s aggregate
TDP 250W 1000W
Form Factor Dual-slot, full-height, passive OAM module (8-GPU platform)
GPUs per Board 4 –
Cooling – Passive (chassis airflow)
Transistors – 153 billion
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