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NVIDIA B200 vs AMD Instinct MI300X: Spec Comparison & Buyer's Guide

In AI infrastructure selection, NVIDIA B200 and AMD Instinct MI300X 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​

VendorNVIDIA B200AMD Instinct MI300X
VendorNVIDIAAMD
ArchitectureBlackwell GB100CDNA 3
ProcessTSMC 4NPTSMC 5nm + 6nm
Release Date2024 GTC，20252023-06-13
FP8 Compute9 PFLOPS—
FP16 Compute4.5 PFLOPS—
FP32 Compute—65.3 TFLOPS
INT8 Compute——
Memory Type——
Memory Capacity192 GB HBM3e192 GB HBM3
Memory Bandwidth8 TB/s5,300 GB/s
TDP Power1000 W750 W

Key Differences​

  • Power: AMD Instinct MI300X has a TDP of 750 W, lower than NVIDIA B200's 1000 W, friendlier to datacenter PUE and cooling.

Selection Advice​

  • When chasing extreme single-card compute and a mature toolchain, prioritize NVIDIA B200; if budget, power wall, or local support are hard constraints, AMD Instinct MI300X 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 NVIDIA B200 and AMD Instinct MI300X?​

The core difference is architecture and compute density: NVIDIA B200 uses Blackwell GB100, FP8 ~9 PFLOPS, memory 192 GB HBM3e; AMD Instinct MI300X uses CDNA 3, FP8 ~No public FP8 data, memory 192 GB HBM3. See the comparison table above.

What is the TDP (power) of NVIDIA B200?​

NVIDIA B200 has a TDP of 1000 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 NVIDIA B200 and AMD Instinct MI300X differ in memory capacity?​

NVIDIA B200 is 192 GB HBM3e, AMD Instinct MI300X is 192 GB HBM3; the gap directly affects loadable model size and context length.