Specifications Compared
| Spec | H100 | MI355X |
|---|---|---|
| TDP | 700W | 750W |
| VRAM | 80-94 GB | 288 GB |
| CUDA Cores | 16,896 | |
| Memory Type | HBM3 | HBM3e |
| Architecture | Hopper | CDNA 4 |
| Form Factors | SXM5, PCIe, NVL | OAM |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | Infinity Fabric |
| Tensor Cores | 528 | |
| FP8 Performance | 3,958 TFLOPS | 4,600 TFLOPS |
| FP16 Performance | 1,979 TFLOPS | 2,300 TFLOPS |
| FP32 Performance | 67 TFLOPS | 2300 TFLOPS |
| FP64 Performance | 34 TFLOPS | 72 TFLOPS |
| INT8 Performance | 3,958 TOPS | 4,600 TOPS |
| Memory Bandwidth | 3,350 GB/s | 8,000 GB/s |
Performance Analysis
Memory specifications define a clear advantage for the MI355X: its 288 GB HBM3e VRAM dwarfs the H100's 80-94 GB HBM3, enabling larger models or batch sizes without multi-GPU partitioning. Bandwidth of 8000 GB/s on the MI355X versus 3350 GB/s on the H100 accelerates data transfers, reducing bottlenecks in memory-bound tasks like LLM training where datasets exceed tens of gigabytes.
Compute throughput reveals specialized strengths. The H100's FP16 at 1979 TFLOPS suits low-precision AI training and inference, but its FP32 at 67 TFLOPS limits precision-sensitive simulations. The MI355X balances FP16 and FP32 at 2300 TFLOPS each, excelling in mixed-precision workflows and FP32-dominant scientific computing. FP8 performance edges higher at 4600 TFLOPS for MI355X over 3958 TFLOPS for H100, benefiting ultra-efficient inference. These deltas translate to real-world gains: MI355X supports batch sizes up to 2.5 times larger due to bandwidth, while H100's NVLink aids scalable multi-node training today.
Power efficiency remains close with 700W versus 750W TDP, though MI355X's higher specs suggest superior throughput per watt in memory-intensive scenarios.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100
| 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×) |
When to Choose the H100
The H100 suits immediate deployment needs. With 56 live cloud offers from $0.80/hr averaging $3.17/hr, it provides accessible pricing and proven availability. Its Hopper architecture integrates seamlessly with CUDA ecosystems, NVLink interconnects, and form factors like SXM5 and PCIe, ideal for multi-GPU clusters in production AI training today.
Users prioritizing mature software support and interconnect options like PCIe 5.0 and InfiniBand select the H100 for reliable, scalable operations without waiting for 2025 releases.
When to Choose the MI355X
The MI355X excels in capacity-constrained environments. Its 288 GB HBM3e VRAM and 8000 GB/s bandwidth handle massive models that overwhelm the H100's 80-94 GB and 3350 GB/s, perfect for single-GPU large-scale inference or training.
FP32 performance at 2300 TFLOPS versus 67 TFLOPS makes it preferable for scientific simulations requiring high precision, with balanced FP16/FP32 enabling versatile workloads once available.
Use Cases
MI355X's 288 GB VRAM and 8000 GB/s bandwidth support larger models and batches than H100's 80-94 GB and 3350 GB/s. FP16 at 2300 TFLOPS provides ample throughput for extended training runs.
The 288 GB HBM3e capacity fits full models without sharding, unlike H100's 80-94 GB limit. FP8 at 4600 TFLOPS delivers higher efficiency for high-volume queries.
H100's current availability and 1979 TFLOPS FP16 suffice for most fine-tuning with established CUDA tools. MI355X offers future scalability via 288 GB VRAM for parameter-heavy adapters.
MI355X's 2300 TFLOPS FP16 and superior bandwidth accelerate diffusion steps on high-resolution images. Vast VRAM handles complex pipelines without offloading.
FP32 at 2300 TFLOPS vastly exceeds H100's 67 TFLOPS for simulations. Balanced compute and 288 GB memory suit large datasets in physics or climate modeling.
Frequently Asked Questions
Which GPU has more VRAM?▾
The MI355X provides 288 GB HBM3e, compared to the H100's 80-94 GB HBM3. This enables handling significantly larger models on a single GPU.
How do FP32 performances compare?▾
MI355X achieves 2300 TFLOPS in FP32, while H100 reaches only 67 TFLOPS. The gap favors MI355X for precision computing tasks.
What is the memory bandwidth difference?▾
MI355X offers 8000 GB/s, double the H100's 3350 GB/s. Higher bandwidth reduces latency in data-heavy AI workloads.
Is the MI355X available in cloud yet?▾
No live offers exist for MI355X currently. H100 has 56 offers from $0.80/hr averaging $3.17/hr.
Which has higher FP16 performance?▾
MI355X delivers 2300 TFLOPS FP16 versus H100's 1979 TFLOPS. The edge supports faster low-precision training.
What are the TDP ratings?▾
H100 consumes 700W TDP, slightly below MI355X's 750W. Both suit high-density racks with comparable efficiency.
Which is cheaper to rent, the H100 or the MI355X?▾
Cloud rental prices for both the H100 and MI355X 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 MI355X?▾
The H100 has 80 to 94 GB of HBM3 memory. The MI355X has 288 GB of HBM3e memory.
Can I find H100 and MI355X 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 MI355X?▾
The H100 uses the Hopper architecture (2022) while the MI355X uses CDNA 4 (2025). The MI355X delivers 1.2x the FP16 throughput and 2.4x the memory bandwidth of the H100.