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AMD Instinct MI300X vs Google Cloud TPU v5p: Spec Comparison & Buyer's Guide

In AI infrastructure selection, AMD Instinct MI300X and Google Cloud TPU v5p are two accelerators frequently compared. This article contrasts them item by item — architecture, compute, memory, power, and release cadence — to help you quickly judge which fits training or inference workloads.

Spec Comparison Table

VendorAMD Instinct MI300XGoogle Cloud TPU v5p
VendorAMDGoogle
ArchitectureCDNA 3Google TPU v5p
ProcessTSMC 5nm + 6nmTSMC 5nm
Release Date2023-06-132023-12-05
FP8 Compute
FP16 Compute
FP32 Compute65.3 TFLOPS
INT8 Compute
Memory Type
Memory Capacity192 GB HBM3
Memory Bandwidth5,300 GB/s
TDP Power750 W300 W

Key Differences

  • Power: Google Cloud TPU v5p has a TDP of 300 W, lower than AMD Instinct MI300X's 750 W, friendlier to datacenter PUE and cooling.

Selection Advice

  • When chasing extreme single-card compute and a mature toolchain, prioritize AMD Instinct MI300X; if budget, power wall, or local support are hard constraints, Google Cloud TPU v5p often fits better. Use this site's AI Compute Card Comparison Tool to validate multiple chips side-by-side before deciding.

FAQ

What are the main differences between AMD Instinct MI300X and Google Cloud TPU v5p?

The core difference is architecture and compute density: AMD Instinct MI300X uses CDNA 3, FP8 ~No public FP8 data, memory 192 GB HBM3; Google Cloud TPU v5p uses Google TPU v5p, FP8 ~No public FP8 data, memory —. See the comparison table above.

What is the TDP (power) of AMD Instinct MI300X?

AMD Instinct MI300X has a TDP of 750 W; actual whole-system power also includes board, fans, and PUE.

Which is better for large-model training / inference?

Training values memory capacity, bandwidth, and multi-card interconnect; inference values single-card throughput and power efficiency. Combine the "Key Differences" and "Selection Advice" above with your batch size, model size, and SLA.

How much do AMD Instinct MI300X and Google Cloud TPU v5p differ in memory capacity?

AMD Instinct MI300X is 192 GB HBM3, Google Cloud TPU v5p is —; the gap directly affects loadable model size and context length.