Specifications Compared
| Spec | H100 | MI300X |
|---|---|---|
| TDP | 700W | 750W |
| VRAM | 80-94 GB | 192 GB |
| CUDA Cores | 16,896 | |
| Memory Type | HBM3 | HBM3 |
| Architecture | Hopper | CDNA 3 |
| Form Factors | SXM5, PCIe, NVL | OAM |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | Infinity Fabric, PCIe 5.0 |
| Tensor Cores | 528 | |
| FP8 Performance | 3,958 TFLOPS | 2,614 TFLOPS |
| FP16 Performance | 1,979 TFLOPS | 1,307 TFLOPS |
| FP32 Performance | 67 TFLOPS | 163 TFLOPS |
| FP64 Performance | 34 TFLOPS | 81.7 TFLOPS |
| INT8 Performance | 3,958 TOPS | 2,614 TOPS |
| Memory Bandwidth | 3,350 GB/s | 5,300 GB/s |
Performance Analysis
H100 excels in low-precision arithmetic essential for AI training and inference: 1979 TFLOPS FP16 supports rapid mixed-precision computations in transformer models, outpacing MI300X's 1307 TFLOPS and reducing epoch times. FP8 performance reaches 3958 TFLOPS on H100, ideal for quantized inference serving thousands of requests per second, compared to MI300X's 2614 TFLOPS. MI300X leads in FP32 at 163 TFLOPS, advantageous for scientific simulations demanding single-precision accuracy over H100's 67 TFLOPS. Memory configurations define real-world impacts profoundly: MI300X's 192 GB VRAM enables loading models with 70 billion parameters intact, avoiding sharding complexities on H100's 80 to 94 GB. Bandwidth of 5300 GB/s on MI300X sustains batch sizes twice as large as H100's 3350 GB/s limit, minimizing data starvation in memory-bound training and accelerating convergence.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 PCIe
| 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 |
MI300X
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | AMD Instinct MI300X 192GB VRAM | 192GB | 24 vCPU 256GB RAM | 🌍global | $1.99/GPU/hr | |||
 Hot Aisle | AMD Instinct MI300X 192GB VRAM | 192GB | 8 vCPU 224GB RAM 12288GB Storage | Michigan | $1.99/GPU/hr | Available | ||
 Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.08/GPU/hr $24.64/hr total (8×) | |||
 Crusoe | AMD Instinct MI300X 192GB VRAM | 192GB | 0 vCPU 0GB RAM | United States | $3.45/GPU/hr | |||
Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.47/GPU/hr $27.76/hr total (8×) |
When to Choose the H100 PCIe
Select H100 PCIe for workloads prioritizing raw throughput in FP16 and FP8 operations, such as multi-node LLM training leveraging NVLink interconnects: 1979 TFLOPS FP16 delivers 51 percent higher performance than MI300X. Inference deployments benefit from 3958 TFLOPS FP8 for low-latency serving. Despite starting at $1.25 per hour, NVIDIA's mature software ecosystem ensures seamless integration.
When to Choose the MI300X
MI300X suits memory-constrained applications like hosting enormous models: 192 GB HBM3 accommodates full 100 billion parameter LLMs without partitioning, unlike H100's 80 to 94 GB cap. High 5300 GB/s bandwidth supports oversized batches in diffusion model generation. Pricing from $0.50 per hour provides economic entry for Infinity Fabric-linked clusters.
Use Cases
H100's 1979 TFLOPS FP16 outperforms MI300X's 1307 TFLOPS in mixed-precision training, accelerating large model convergence.
Superior FP8 at 3958 TFLOPS on H100 enables higher throughput for quantized serving compared to MI300X's 2614 TFLOPS.
MI300X 192 GB VRAM loads full models for efficient single-GPU tuning, exceeding H100's 80 to 94 GB capacity.
MI300X 5300 GB/s bandwidth handles large image batches better than H100's 3350 GB/s, reducing generation times.
MI300X delivers 163 TFLOPS FP32 for precision simulations, more than double H100's 67 TFLOPS.
Frequently Asked Questions
Which GPU has more VRAM?▾
MI300X provides 192 GB HBM3, substantially more than H100 PCIe 80 to 94 GB. This allows MI300X to manage larger models without multi-GPU sharding. H100 suffices for models up to 30 billion parameters.
What are the FP16 performance differences?▾
H100 achieves 1979 TFLOPS FP16, exceeding MI300X 1307 TFLOPS by 51 percent. This edge benefits AI training phases using mixed precision. MI300X compensates in other areas like memory.
How do cloud prices compare?▾
H100 PCIe rents from $1.25 per hour averaging $2.77 across 16 offers. MI300X starts at $0.50 per hour averaging $2.63 across 9 offers. Entry-level MI300X provides better value for testing.
Which has higher memory bandwidth?▾
MI300X offers 5300 GB/s, 58 percent above H100 3350 GB/s. Higher bandwidth on MI300X supports larger batches in training. H100 bandwidth suits most inference needs.
What is the TDP for each?▾
H100 consumes 700W TDP, while MI300X requires 750W. Both demand robust cooling in SXM or OAM form factors. Power differences minimally impact cloud pricing.
Which is better for FP32 workloads?▾
MI300X leads with 163 TFLOPS FP32 versus H100 67 TFLOPS. This favors MI300X in HPC simulations needing single precision. H100 prioritizes lower precisions.
Which is cheaper to rent, the H100 or the MI300X?▾
Cloud rental prices for both the H100 and MI300X 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 MI300X?▾
The H100 has 80 to 94 GB of HBM3 memory. The MI300X has 192 GB of HBM3 memory.
Can I find H100 and MI300X 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 MI300X?▾
The H100 uses the Hopper architecture (2022) while the MI300X uses CDNA 3 (2023). The H100 delivers 1.5x the FP16 throughput and 1.6x the memory bandwidth of the MI300X.