Specifications Compared
| Spec | H100 | MI250X |
|---|---|---|
| TDP | 700W | 560W |
| VRAM | 80-94 GB | 128 GB |
| CUDA Cores | 16,896 | |
| Memory Type | HBM3 | HBM2e |
| Architecture | Hopper | CDNA 2 |
| Form Factors | SXM5, PCIe, 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 | 3,350 GB/s | 3,277 GB/s |
Performance Analysis
The H100's FP16 performance reaches 1979 TFLOPS and FP8 hits 3958 TFLOPS, enabling rapid AI training and inference where low-precision formats dominate. In contrast, the MI250X delivers 383 TFLOPS across both FP16 and FP32, supporting balanced workloads like scientific computing that require FP32 precision. This FP16 to FP32 delta means the H100 excels in transformer-based models, processing iterations faster, while the MI250X handles general-purpose floating-point tasks without precision bottlenecks.
Memory configurations impact real-world scalability: the MI250X's 128 GB HBM2e allows larger batch sizes in memory-constrained scenarios compared to the H100's 80-94 GB HBM3. Bandwidth differences are marginal at 3350 GB/s versus 3277 GB/s, so data transfer rates remain similar, but the H100's HBM3 offers lower latency for frequent accesses. Higher TDP of 700W on the H100 demands robust cooling, whereas the MI250X's 560W suits denser deployments.
Interconnects further differentiate applications: NVLink, PCIe 5.0, and InfiniBand on the H100 facilitate multi-GPU scaling, ideal for distributed training. Infinity Fabric on the MI250X enables AMD ecosystem integration but limits broader compatibility.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 SXM5
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Hyperstack | 4×NVIDIA H100 PCIe 80GB VRAM | 80GB | 124 vCPU 720GB RAM 3300GB Storage | Canada | $1.90/GPU/hr $7.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA H100 PCIe 80GB VRAM | 80GB | 60 vCPU 360GB RAM 1600GB Storage | Canada | $1.90/GPU/hr $3.80/hr total (2×) | Available | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.90/GPU/hr $15.20/hr total (8×) | Available | ||
Hyperstack | NVIDIA H100 PCIe 80GB VRAM | 80GB | 28 vCPU 180GB RAM 850GB Storage | Canada | $1.90/GPU/hr | Available | ||
 Voltage Park | 8×NVIDIA H100 SXM5 80GB VRAM | 80GB | 208 vCPU 928GB RAM 19200GB Storage | Dallas, Texas | $1.99/GPU/hr $15.92/hr total (8×) |
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 H100 SXM5
The H100 suits large-scale AI training and inference where FP16 at 1979 TFLOPS and FP8 at 3958 TFLOPS accelerate deep learning pipelines. Its Hopper architecture from 2022 and NVLink interconnect support efficient multi-GPU clusters, essential for LLMs exceeding 100 billion parameters. Abundant cloud offers at $0.80 per hour starting price ensure accessibility despite average $3.54 per hour.
Modern inference engines leverage the H100's PCIe 5.0 and SXM5 form factor for high-throughput deployments.
When to Choose the MI250X
The MI250X fits memory-intensive tasks with 128 GB HBM2e VRAM, accommodating oversized datasets or models without splitting. Balanced 383 TFLOPS in FP16 and FP32 benefits HPC simulations requiring precise floating-point operations. Lower TDP of 560W and average pricing of $1.46 per hour across offers make it economical for sustained workloads.
Infinity Fabric interconnect aids AMD-based clusters, optimizing cost-sensitive environments.
Use Cases
H100's 1979 TFLOPS FP16 performance accelerates large model training significantly over MI250X's 383 TFLOPS. NVLink interconnect scales multi-GPU setups efficiently.
FP8 capability at 3958 TFLOPS on H100 delivers high-throughput inference for deployed models. PCIe 5.0 supports low-latency serving.
H100's Hopper architecture and 80-94 GB HBM3 handle fine-tuning datasets effectively with superior FP16 throughput. More cloud offers at $0.80 per hour starting provide flexibility.
H100's 3350 GB/s bandwidth and high FP16 speed optimize image generation pipelines. FP8 support enhances efficiency for diffusion models.
MI250X's 383 TFLOPS FP32 matches FP16 for precision-heavy simulations. 128 GB VRAM manages large scientific datasets without overflow.
Frequently Asked Questions
Which GPU has more VRAM, H100 or MI250X?▾
The MI250X provides 128 GB HBM2e VRAM, exceeding the H100's 80-94 GB HBM3. This advantage suits memory-bound applications like large-batch training. Bandwidth remains close at 3277 GB/s for MI250X versus 3350 GB/s for H100.
How do H100 and MI250X compare in FP16 performance?▾
H100 achieves 1979 TFLOPS in FP16, far surpassing MI250X's 383 TFLOPS. This gap favors H100 for AI training workloads. FP8 on H100 reaches 3958 TFLOPS, unavailable on MI250X.
What are the power consumption differences?▾
H100 has a 700W TDP, higher than MI250X's 560W. Lower power on MI250X enables denser rack configurations. Both require datacenter-grade cooling.
Which is cheaper in the cloud, H100 or MI250X?▾
MI250X starts at $1.28 per hour averaging $1.46 across 4 offers, undercutting H100's $0.80 starting but $3.54 average across 32 offers. H100 availability drives higher averages. Pricing fluctuates with demand.
Is H100 better for multi-GPU setups?▾
H100 supports NVLink, PCIe 5.0, and InfiniBand for superior scaling. MI250X uses Infinity Fabric, limited to AMD ecosystems. H100's interconnects excel in distributed AI training.
What architectures do they use?▾
H100 employs Hopper from 2022, while MI250X uses CDNA 2 from 2021. Newer Hopper optimizes AI-specific features. CDNA 2 targets broad HPC applications.
Which is cheaper to rent, the H100 or the MI250X?▾
Cloud rental prices for both the H100 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 H100 have compared to the MI250X?▾
The H100 has 80 to 94 GB of HBM3 memory. The MI250X has 128 GB of HBM2e memory.
Can I find H100 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 H100 and the MI250X?▾
The H100 uses the Hopper architecture (2022) while the MI250X uses CDNA 2 (2021). The H100 delivers 5.2x the FP16 throughput and 1.0x the memory bandwidth of the MI250X.