AMD Instinct MI300X VS NVIDIA H200

A head-to-head comparison between AMD's Instinct MI300X (CDNA 3) and NVIDIA's H200 (Hopper). Understand the trade-offs between different vendors and architectures.

AMD

Instinct MI300X

VRAM 192GB
FP32 163.4 TFLOPS
TDP 750W
From $1.99/h 6 providers
NVIDIA

H200

VRAM 141GB
FP32 67 TFLOPS
TDP 700W
From $1.49/h 4 providers

📊 Detailed Specifications Comparison

Specification Instinct MI300X H200 Difference
Architecture & Design
Architecture CDNA 3 Hopper -
Process Node 5nm + 6nm 4nm -
Target Market datacenter datacenter -
Form Factor OAM SXM5 -
Memory
VRAM Capacity 192GB 141GB +36%
Memory Type HBM3 HBM3e -
Memory Bandwidth 5.3 TB/s 4.8 TB/s +10%
Memory Bus 8192-bit 6144-bit -
Compute Units
Stream Processors 19,456 N/A -
Performance (TFLOPS)
FP32 (Single Precision) 163.4 TFLOPS 67 TFLOPS +144%
FP16 (Half Precision) 1307.4 TFLOPS 1979 TFLOPS -34%
TF32 (Tensor Float) N/A 989 TFLOPS
FP64 (Double Precision) 81.7 TFLOPS 34 TFLOPS +140%
Power & Connectivity
TDP (Power) 750W 700W +7%
PCIe PCIe 5.0 x16 PCIe 5.0 x16 -
NVLink Not available NVLink 4.0 (900 GB/s) -

🎯 Use Case Recommendations

🧠

LLM & Large Model Training

NVIDIA H200

Higher VRAM capacity and memory bandwidth are critical for training large language models. The Instinct MI300X offers 192GB compared to 141GB.

AI Inference

NVIDIA H200

For inference workloads, performance per watt matters most. Consider the balance between FP16/INT8 throughput and power consumption.

💰

Budget-Conscious Choice

NVIDIA H200

Based on current cloud pricing, the H200 starts at a lower hourly rate.

AMD Instinct MI300X is Best For:

  • LLM inference at scale
  • Large VRAM capacity
  • CUDA-only software

NVIDIA H200 is Best For:

  • LLM inference at scale
  • Large context window models
  • Budget deployments

Frequently Asked Questions

Which GPU is better for AI training: Instinct MI300X or H200?

For AI training, the key factors are VRAM size, memory bandwidth, and tensor core performance. The Instinct MI300X offers 192GB of HBM3 memory with 5.3 TB/s bandwidth, while the H200 provides 141GB of HBM3e with 4.8 TB/s bandwidth. For larger models, the Instinct MI300X's higher VRAM capacity gives it an advantage.

What is the price difference between Instinct MI300X and H200 in the cloud?

Cloud GPU rental prices vary by provider and region. Based on our data, Instinct MI300X starts at $1.99/hour while H200 starts at $1.49/hour. This represents a 34% price difference.

Can I use H200 instead of Instinct MI300X for my workload?

It depends on your specific requirements. If your model fits within 141GB of VRAM and you don't need the additional throughput of the Instinct MI300X, the H200 can be a cost-effective alternative. However, for workloads requiring maximum memory capacity or multi-GPU scaling, the Instinct MI300X's architecture may be essential.

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