Specifications Compared
| Spec | GH200 | MI250X |
|---|---|---|
| TDP | 900W | 560W |
| VRAM | 96 GB | 128 GB |
| CUDA Cores | 16,896 | |
| Memory Type | HBM3 | HBM2e |
| Architecture | Hopper | CDNA 2 |
| Form Factors | SXM | OAM |
| Interconnect | NVLink-C2C, PCIe 5.0 | 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 | 4,000 GB/s | 3,277 GB/s |
Performance Analysis
The GH200 demonstrates superior low-precision performance critical for deep learning: its 1979 TFLOPS FP16 and 3958 TFLOPS FP8 dwarf the MI250X's 383 TFLOPS FP16. This delta translates to faster model training and inference, potentially reducing epochs by factors of five in large language model workflows. FP32 rates reverse with GH200 at 67 TFLOPS versus MI250X's 383 TFLOPS, favoring AMD for simulations reliant on single-precision arithmetic.
Memory bandwidth of 4000 GB/s on the GH200 enables larger batch sizes than the MI250X's 3277 GB/s, accelerating throughput in data-parallel training. However, the MI250X's 128 GB HBM2e exceeds GH200's 96 GB HBM3, supporting bigger models without multi-GPU sharding.
Power consumption differs markedly: GH200's 900 W TDP demands robust cooling, while MI250X's 560 W suits denser deployments. Interconnects like NVLink-C2C provide higher bandwidth than Infinity Fabric for multi-node scaling.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GH200
| 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 | ||
 Denvr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 7600GB Storage | Virginia | $3.87/GPU/hr | |||
 CoreWeave | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 7680GB Storage | United States | $6.50/GPU/hr |
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 GH200
The GH200 suits performance-critical AI training and inference. Its 1979 TFLOPS FP16 and 3958 TFLOPS FP8 deliver up to five times the throughput of MI250X for tensor-heavy workloads like large language models. Higher 4000 GB/s bandwidth supports massive batches, ideal despite $3.59 per hour average cost.
When to Choose the MI250X
The MI250X excels in cost-sensitive or VRAM-bound scenarios. At $1.46 per hour average, it offers 128 GB HBM2e versus 96 GB, enabling single-GPU runs for models exceeding 96 GB. Balanced 383 TFLOPS FP16 and FP32, plus 560 W TDP, fit power-constrained or scientific computing needs.
Use Cases
GH200's 1979 TFLOPS FP16 outperforms MI250X's 383 TFLOPS by over five times, accelerating large-scale training. Higher 4000 GB/s bandwidth supports bigger batches.
FP8 performance at 3958 TFLOPS on GH200 enables ultra-fast inference. NVLink-C2C scaling exceeds Infinity Fabric for multi-GPU serving.
Superior low-precision compute on GH200 reduces fine-tuning time via 1979 TFLOPS FP16. Bandwidth edge aids efficient gradient updates.
MI250X's 128 GB VRAM handles large diffusion models singly; GH200's higher FP16 suits faster generation despite less memory.
MI250X's 383 TFLOPS FP32 matches its FP16, ideal for simulations. Lower 560 W TDP and $1.46 per hour cost optimize HPC clusters.
Frequently Asked Questions
What is the VRAM difference between GH200 and MI250X?▾
The MI250X offers 128 GB HBM2e, exceeding the GH200's 96 GB HBM3. This allows MI250X to load larger models without partitioning. GH200 compensates with 4000 GB/s bandwidth versus 3277 GB/s.
How do cloud prices compare for GH200 and MI250X?▾
GH200 pricing starts at $1.99 per hour, averaging $3.59 across four offers. MI250X begins at $1.28 per hour, averaging $1.46 across four offers. Cost savings favor MI250X for budget workloads.
Which has higher FP16 performance?▾
GH200 achieves 1979 TFLOPS FP16, over five times the MI250X's 383 TFLOPS. This gap benefits AI training and inference heavily. FP8 on GH200 reaches 3958 TFLOPS.
What are the TDP ratings?▾
GH200 consumes 900 W TDP, demanding strong power infrastructure. MI250X uses 560 W, enabling higher density. Efficiency suits edge or dense cloud setups.
Which GPU is newer?▾
GH200 uses 2023 Hopper architecture with NVLink-C2C and PCIe 5.0. MI250X relies on 2021 CDNA 2 with Infinity Fabric. Newer design yields GH200's compute leads.
How does memory bandwidth compare?▾
GH200 provides 4000 GB/s with HBM3, surpassing MI250X's 3277 GB/s HBM2e. Higher bandwidth on GH200 boosts batch sizes in training. VRAM volume remains MI250X advantage.
Which is cheaper to rent, the GH200 or the MI250X?▾
Cloud rental prices for both the GH200 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 GH200 have compared to the MI250X?▾
The GH200 has 96 GB of HBM3 memory. The MI250X has 128 GB of HBM2e memory.
Can I find GH200 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 GH200 and the MI250X?▾
The GH200 uses the Hopper architecture (2023) while the MI250X uses CDNA 2 (2021). The GH200 delivers 5.2x the FP16 throughput and 1.2x the memory bandwidth of the MI250X.