Specifications Compared
| Spec | H200 | MI325X |
|---|---|---|
| TDP | 700W | 750W |
| VRAM | 141 GB | 256 GB |
| CUDA Cores | 16,896 | |
| Memory Type | HBM3e | HBM3e |
| Architecture | Hopper | CDNA 3 |
| Form Factors | SXM, NVL | OAM |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | Infinity Fabric |
| Tensor Cores | 528 | |
| FP8 Performance | 3,958 TFLOPS | 2,614 TFLOPS |
| FP16 Performance | 1,979 TFLOPS | 1,307 TFLOPS |
| FP32 Performance | 67 TFLOPS | 1307 TFLOPS |
| FP64 Performance | 34 TFLOPS | 40.9 TFLOPS |
| INT8 Performance | 3,958 TOPS | 2,614 TOPS |
| Memory Bandwidth | 4,800 GB/s | 6,000 GB/s |
Performance Analysis
Peak FP16 performance favors the H200 at 1979 TFLOPS over the MI325X's 1307 TFLOPS, accelerating mixed-precision training common in LLMs. The H200's FP8 rate reaches 3958 TFLOPS compared to 2614 TFLOPS, suiting inference optimizations for deployment. However, FP32 equality on MI325X at 1307 TFLOPS dwarfs H200's 67 TFLOPS, benefiting simulations requiring single-precision compute. This delta means NVIDIA excels in low-precision AI pipelines, while AMD supports broader numerical workloads. Memory differences prove critical: 256 GB on MI325X versus 141 GB on H200 allows larger batch sizes in training, reducing overhead from model swapping. The MI325X's 6000 GB/s bandwidth versus 4800 GB/s further boosts throughput for memory-bound tasks like inference on massive models, minimizing latency as datasets scale.
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 |
When to Choose the H200 NVL
Opt for the NVIDIA H200 NVL in ecosystems reliant on CUDA and TensorRT, where FP16 at 1979 TFLOPS and FP8 at 3958 TFLOPS drive efficient LLM training and inference. Availability across cloud providers at $0.50 to $2.54 per hour enables immediate scaling via NVLink and InfiniBand. Multi-GPU setups in NVL form factor suit hyperscale deployments prioritizing software maturity over raw memory.
When to Choose the MI325X
Select the AMD Instinct MI325X for memory-intensive applications leveraging 256 GB HBM3e and 6000 GB/s bandwidth to handle enormous models without partitioning. Balanced FP16 and FP32 at 1307 TFLOPS each support diverse workloads including scientific computing. Infinity Fabric interconnects facilitate AMD-optimized clusters once availability emerges.
Use Cases
MI325X's 256 GB VRAM and 6000 GB/s bandwidth support larger batch sizes for massive models. H200's 141 GB limits scale without multi-GPU complexity.
H200's 3958 TFLOPS FP8 outperforms MI325X's 2614 TFLOPS for low-precision serving. NVLink enables efficient multi-node inference.
Both handle fine-tuning with H200's FP16 edge at 1979 TFLOPS and MI325X's memory at 256 GB. Choice depends on ecosystem and model size.
H200's 1979 TFLOPS FP16 accelerates diffusion model generation faster than MI325X's 1307 TFLOPS. Availability ensures quick deployment.
MI325X's 1307 TFLOPS FP32 matches its FP16, ideal for simulations. Higher bandwidth at 6000 GB/s aids data-heavy HPC tasks.
Frequently Asked Questions
Which GPU has more VRAM: H200 NVL or MI325X?▾
The MI325X provides 256 GB HBM3e, surpassing the H200 NVL's 141 GB. This capacity difference suits larger models in training. Bandwidth follows at 6000 GB/s for MI325X versus 4800 GB/s.
How do FP8 performance rates compare between H200 and MI325X?▾
H200 delivers 3958 TFLOPS FP8, exceeding MI325X's 2614 TFLOPS. This benefits inference workloads. FP16 also favors H200 at 1979 TFLOPS over 1307 TFLOPS.
What is the TDP of these GPUs?▾
H200 consumes 700W TDP, while MI325X requires 750W. Both suit data center cooling. Power correlates with peak performance densities.
Is MI325X available in cloud pricing yet?▾
No live offers exist for MI325X currently. H200 NVL starts at $0.50 per hour, averaging $2.54 per hour across four providers. Availability drives short-term decisions.
Which has better memory bandwidth?▾
MI325X leads with 6000 GB/s over H200's 4800 GB/s. This impacts batch processing in AI. VRAM pairs with bandwidth for throughput.
What interconnects do they support?▾
H200 NVL uses NVLink, PCIe 5.0, and InfiniBand; MI325X employs Infinity Fabric. NVIDIA options enhance multi-GPU scaling. Form factors differ: SXM/NVL versus OAM.
Which is cheaper to rent, the H200 or the MI325X?▾
Cloud rental prices for both the H200 and MI325X 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 MI325X?▾
The H200 has 141 GB of HBM3e memory. The MI325X has 256 GB of HBM3e memory.
Can I find H200 and MI325X 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 MI325X?▾
The H200 uses the Hopper architecture (2024) while the MI325X uses CDNA 3 (2024). The H200 delivers 1.5x the FP16 throughput and 1.3x the memory bandwidth of the MI325X.