Specifications Compared
| Spec | H200 | MI250X |
|---|---|---|
| TDP | 700W | 560W |
| VRAM | 141 GB | 128 GB |
| CUDA Cores | 16,896 | |
| Memory Type | HBM3e | HBM2e |
| Architecture | Hopper | CDNA 2 |
| Form Factors | SXM, NVL | OAM |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | Infinity Fabric |
| Tensor Cores | 528 | |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 383 TFLOPS |
| FP32 Performance | 67 TFLOPS | 383 TFLOPS |
| FP64 Performance | 34 TFLOPS | 48 TFLOPS |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 4,800 GB/s | 3,277 GB/s |
Performance Analysis
The H200 NVL dominates in low-precision compute critical for modern AI: its 1979 TFLOPS FP16 and 3958 TFLOPS FP8 rates exceed the MI250X's 383 TFLOPS FP16 by over five times, accelerating LLM training and inference where mixed precision reduces memory use. The MI250X offers balanced FP16 and FP32 at 383 TFLOPS each, suiting workloads like scientific simulations requiring full precision, where H200 NVL's FP32 drops to 67 TFLOPS.
Higher memory bandwidth of 4800 GB/s on H200 NVL versus 3277 GB/s on MI250X supports larger batch sizes in training, minimizing overhead and fitting bigger models into 141 GB VRAM compared to 128 GB. This translates to faster iterations for deep learning pipelines. Power draw at 700W for H200 NVL demands robust cooling, while MI250X at 560W aids dense deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H200 NVL
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 960GB Storage | Atlanta | $1.99/GPU/hr | Available | ||
 Lambda Labs | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 64 vCPU 432GB RAM 4096GB Storage | Virginia | $2.29/GPU/hr | Available | ||
 Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | 🌍Europe | $2.45/GPU/hr | |||
 CoreWeave | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 0GB RAM 61440GB Storage | United States | $2.58/GPU/hr $20.64/hr total (8×) | |||
 Ori | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 96 vCPU 960GB RAM 12000GB Storage | London | $3.50/GPU/hr $14.00/hr total (4×) | Available |
MI250X
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.28/GPU/hr $5.12/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.44/GPU/hr $5.76/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.52/GPU/hr $6.08/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.60/GPU/hr $6.40/hr total (4×) |
When to Choose the H200 NVL
Opt for the H200 NVL in large-scale LLM training or inference: 141 GB HBM3e VRAM and 4800 GB/s bandwidth handle models exceeding 100 billion parameters with batch sizes that saturate 1979 TFLOPS FP16. NVL form factor with NVLink excels in multi-GPU setups for distributed workloads.
When to Choose the MI250X
Select the MI250X for FP32-dominant tasks like molecular dynamics or weather modeling: 383 TFLOPS FP32 outperforms H200 NVL's 67 TFLOPS, and lower 560W TDP enables higher density. At an average $1.46 per hour, it delivers value over H200 NVL's $2.39 average.
Use Cases
H200 NVL's 1979 TFLOPS FP16 and 141 GB VRAM support massive models and large batches better than MI250X's 383 TFLOPS and 128 GB.
3958 TFLOPS FP8 on H200 NVL delivers superior low-precision throughput for serving, with 4800 GB/s bandwidth enabling high concurrency over MI250X.
Higher FP16 performance and more VRAM on H200 NVL accelerate parameter-efficient fine-tuning on large datasets compared to MI250X.
H200 NVL's FP16/FP8 rates and bandwidth speed up diffusion model generation significantly versus MI250X's lower specs.
MI250X's 383 TFLOPS FP32 matches its FP16, outperforming H200 NVL's 67 TFLOPS FP32 for precision simulations at lower cost.
Frequently Asked Questions
Which GPU has more VRAM, H200 NVL or MI250X?▾
The H200 NVL provides 141 GB HBM3e VRAM, exceeding the MI250X's 128 GB HBM2e. This advantage aids larger models in AI tasks.
How do FP16 performances compare between H200 NVL and MI250X?▾
H200 NVL achieves 1979 TFLOPS FP16, over five times the MI250X's 383 TFLOPS. This gap favors H200 NVL for training.
What are the cloud pricing differences?▾
H200 NVL starts at $0.50 per hour with $2.39 average across four offers; MI250X at $1.28 per hour with $1.46 average. MI250X offers better average value.
Which has higher memory bandwidth?▾
H200 NVL delivers 4800 GB/s, surpassing MI250X's 3277 GB/s. Higher bandwidth supports bigger batches on H200 NVL.
Compare TDP for H200 NVL and MI250X.▾
H200 NVL requires 700W TDP, higher than MI250X's 560W. Lower TDP on MI250X suits power-constrained environments.
Is H200 NVL better for FP32 workloads?▾
No, MI250X's 383 TFLOPS FP32 exceeds H200 NVL's 67 TFLOPS. Choose MI250X for FP32-heavy scientific computing.
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.