H200 vs MI250X

HoppervsCDNA 2Updated 36 days ago

The H200 emerges as the superior choice for most AI workloads, including LLM training and inference. Its 1979 TFLOPS FP16, 3958 TFLOPS FP8, 141 GB VRAM, and 4800 GB/s bandwidth dominate over MI250X's specs, despite higher average pricing of $3.62 per hour.

H200 from $1.99/hrMI250X from $1.28/hr

Specifications Compared

SpecH200MI250X
TDP700W560W
VRAM141 GB128 GB
CUDA Cores16,896
Memory TypeHBM3eHBM2e
ArchitectureHopperCDNA 2
Form FactorsSXM, NVLOAM
InterconnectNVLink, PCIe 5.0, InfiniBandInfinity Fabric
Tensor Cores528
FP8 Performance3,958 TFLOPS
FP16 Performance1,979 TFLOPS383 TFLOPS
FP32 Performance67 TFLOPS383 TFLOPS
FP64 Performance34 TFLOPS48 TFLOPS
INT8 Performance3,958 TOPS
Memory Bandwidth4,800 GB/s3,277 GB/s

Performance Analysis

H200's FP16 performance reaches 1979 TFLOPS, far exceeding MI250X's 383 TFLOPS, which accelerates deep learning training where half-precision computations dominate. For inference, H200's FP8 capability at 3958 TFLOPS provides a massive edge over MI250X, which lacks specified FP8 figures. This disparity means H200 processes transformer models faster in production environments. MI250X balances FP16 and FP32 at 383 TFLOPS each, outperforming H200's 67 TFLOPS FP32 for workloads requiring single-precision accuracy, such as certain simulations. Memory bandwidth plays a critical role: H200's 4800 GB/s supports larger batch sizes than MI250X's 3277 GB/s, reducing training times for memory-bound tasks by enabling more data per iteration. Higher TDP on H200 at 700W versus 560W reflects its power demands, but interconnects like NVLink on H200 enhance multi-GPU scaling over MI250X's Infinity Fabric.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

H200

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vultr
Vultr
NVIDIA GH200 Grace Hopper
96GB VRAM
$1.99/GPU/hr
Available
Lambda Labs
Lambda Labs
NVIDIA GH200 Grace Hopper
96GB VRAM
$2.29/GPU/hr
Available
Nebius
Nebius
NVIDIA H200 SXM
141GB VRAM
$2.45/GPU/hr
CoreWeave
CoreWeave
8×NVIDIA H200 SXM
141GB VRAM
$2.58/GPU/hr
$20.64/hr total (8×)
Ori
Ori
NVIDIA H200 SXM
141GB VRAM
$3.50/GPU/hr
Available

MI250X

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Cirrascale
Cirrascale
4×AMD Instinct MI250X
128GB VRAM
$1.28/GPU/hr
$5.12/hr total (4×)
Cirrascale
Cirrascale
4×AMD Instinct MI250X
128GB VRAM
$1.44/GPU/hr
$5.76/hr total (4×)
Cirrascale
Cirrascale
4×AMD Instinct MI250X
128GB VRAM
$1.52/GPU/hr
$6.08/hr total (4×)
Cirrascale
Cirrascale
4×AMD Instinct MI250X
128GB VRAM
$1.60/GPU/hr
$6.40/hr total (4×)

Compare real-time pricing across 25+ providers

When to Choose the H200

Opt for the H200 in scenarios demanding peak AI performance, such as training large language models with 141 GB VRAM to fit massive parameter sets. Its 1979 TFLOPS FP16 and 3958 TFLOPS FP8 excel in inference pipelines, while 4800 GB/s bandwidth handles high-throughput batch processing. Cloud users benefit from 26 live offers starting at $0.50 per hour for scalable deployments.

When to Choose the MI250X

Select the MI250X for cost-sensitive projects where FP32 performance matters, as its 383 TFLOPS matches FP16 and exceeds H200's 67 TFLOPS. Lower TDP of 560W suits power-constrained environments, and average pricing of $1.46 per hour across 4 offers provides value. Balanced compute favors scientific applications over memory-intensive AI.

Use Cases

LLM Training
H200

H200's 1979 TFLOPS FP16 and 141 GB HBM3e VRAM support larger models and batches than MI250X's 383 TFLOPS and 128 GB.

LLM Inference
H200

H200's 3958 TFLOPS FP8 delivers superior throughput for serving requests, outpacing MI250X which lacks comparable low-precision performance.

Fine-tuning
H200

Higher memory bandwidth of 4800 GB/s on H200 enables efficient fine-tuning of large models, compared to MI250X's 3277 GB/s.

Stable Diffusion
H200

H200's FP16 at 1979 TFLOPS and ample 141 GB VRAM accelerate image generation pipelines beyond MI250X capabilities.

Scientific Computing
MI250X

MI250X's 383 TFLOPS FP32 outperforms H200's 67 TFLOPS for precision simulations, with lower 560W TDP for sustained runs.

Frequently Asked Questions

What is the VRAM difference between H200 and MI250X?

H200 features 141 GB HBM3e VRAM, exceeding MI250X's 128 GB HBM2e. This allows H200 to manage larger AI models without swapping. Bandwidth follows suit at 4800 GB/s versus 3277 GB/s.

Which GPU has higher FP16 performance?

H200 achieves 1979 TFLOPS in FP16, over five times MI250X's 383 TFLOPS. This gap favors H200 for training neural networks. FP8 on H200 reaches 3958 TFLOPS for inference.

How do cloud prices compare?

H200 starts at $0.50 per hour averaging $3.62 across 26 offers, while MI250X begins at $1.28 per hour averaging $1.46 over 4 offers. MI250X appears more affordable on average.

What are the TDP ratings?

H200 consumes 700W TDP, higher than MI250X's 560W. This reflects H200's performance density for demanding tasks. Power efficiency varies by workload.

Which is better for FP32 workloads?

MI250X delivers 383 TFLOPS FP32, surpassing H200's 67 TFLOPS. Choose MI250X for simulations needing single-precision. H200 prioritizes lower precisions.

What architectures do they use?

H200 employs Hopper from 2024, while MI250X uses CDNA 2 from 2021. Newer Hopper enables advanced features like FP8. Interconnects differ: NVLink for H200, Infinity Fabric for MI250X.

Which is cheaper to rent, the H200 or the MI250X?

Cloud rental prices for both the H200 and MI250X vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.

How much VRAM does the H200 have compared to the MI250X?

The H200 has 141 GB of HBM3e memory. The MI250X has 128 GB of HBM2e memory.

Can I find H200 and MI250X GPUs available to rent right now?

Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.

What is the main difference between the H200 and the MI250X?

The H200 uses the Hopper architecture (2024) while the MI250X uses CDNA 2 (2021). The H200 delivers 5.2x the FP16 throughput and 1.5x the memory bandwidth of the MI250X.

H200 vs MI250X: NVIDIA 141GB vs AMD 128GB | GPUPerHour