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 capacity defines a core advantage for the MI355X: its 288 GB HBM3e VRAM dwarfs the H100's 80 to 94 GB HBM3, enabling larger batch sizes and models without multi-GPU sharding in training or inference. Bandwidth reinforces this: 8000 GB/s on MI355X versus 3350 GB/s on H100 accelerates data transfers, reducing bottlenecks in memory-bound tasks like transformer processing.
Compute profiles reveal specialized strengths. The H100 delivers FP16 at 1979 TFLOPS and FP8 at 3958 TFLOPS, suiting mixed-precision inference, but its FP32 lags at 67 TFLOPS. MI355X balances performance with FP16 and FP32 both at 2300 TFLOPS plus FP8 at 4600 TFLOPS, benefiting training pipelines requiring FP32 accumulation and scientific simulations. This FP32 parity on MI355X enhances precision-sensitive workflows over H100's tensor-core bias.
Real-world implications favor MI355X for large-scale LLM training, where 288 GB VRAM supports batch sizes impossible on H100 without scaling out, though H100's mature software stack aids immediate deployment.
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 | ||
Hyperstack | 8×NVIDIA H100 PCIe 80GB VRAM | 80GB | 252 vCPU 1440GB RAM 6600GB Storage | Canada | $1.95/GPU/hr $15.60/hr total (8×) | Available |
When to Choose the H100 SXM5
The H100 SXM5 suits deployments needing immediate availability and ecosystem maturity. With pricing from $0.80 per hour averaging $3.44 per hour across 35 cloud offers, it enables rapid scaling via NVLink and PCIe 5.0 interconnects. Choose H100 for production inference at FP8 3958 TFLOPS or FP16 1979 TFLOPS where 80 to 94 GB VRAM suffices and InfiniBand integration matters.
When to Choose the MI355X
The MI355X excels in capacity-constrained environments demanding 288 GB HBM3e VRAM and 8000 GB/s bandwidth for massive datasets. Its balanced FP32 at 2300 TFLOPS alongside FP16 at 2300 TFLOPS supports diverse training and simulation tasks. Select MI355X for future-proofing large-model workflows via Infinity Fabric, despite 750W TDP and pending availability.
Use Cases
MI355X's 288 GB VRAM and 2300 TFLOPS FP16/FP32 support massive models and batches without sharding. H100's 94 GB limit requires multi-GPU setups.
4600 TFLOPS FP8 and 8000 GB/s bandwidth on MI355X handle high-throughput serving of large LLMs. H100's 3958 TFLOPS FP8 suffices but VRAM constrains scale.
Balanced 2300 TFLOPS FP32 on MI355X accelerates gradient computations for fine-tuning. H100's 67 TFLOPS FP32 introduces bottlenecks.
Both GPUs manage diffusion workloads well: H100 at 1979 TFLOPS FP16, MI355X at 2300 TFLOPS. Choice depends on VRAM needs versus availability.
MI355X's 2300 TFLOPS FP32 matches FP16 for simulations, with 288 GB VRAM for large grids. H100's 67 TFLOPS FP32 limits precision tasks.
Frequently Asked Questions
Which GPU has more VRAM?▾
The MI355X provides 288 GB HBM3e VRAM, exceeding the H100's 80 to 94 GB HBM3. This enables handling larger models on a single GPU.
How do memory bandwidths compare?▾
MI355X offers 8000 GB/s, more than double H100's 3350 GB/s. Higher bandwidth reduces latency in data-intensive AI tasks.
What is the FP32 performance difference?▾
MI355X achieves 2300 TFLOPS FP32, vastly superior to H100's 67 TFLOPS. This benefits training and simulations requiring full precision.
Is MI355X available in the cloud now?▾
No live offers exist for MI355X currently. H100 SXM5 starts at $0.80 per hour, averaging $3.44 per hour across 35 providers.
Which has higher TDP?▾
MI355X draws 750W TDP compared to H100's 700W. The 50W difference impacts power budgeting in dense clusters.
What interconnects do they use?▾
H100 supports NVLink, PCIe 5.0, and InfiniBand; MI355X uses Infinity Fabric. H100 offers broader current compatibility.
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.