Specifications Compared
| Spec | H100 | RTX-4070 |
|---|---|---|
| TDP | 700W | 200W |
| VRAM | 80-94 GB | 12 GB |
| CUDA Cores | 16,896 | 5,888 |
| Memory Type | HBM3 | GDDR6X |
| Architecture | Hopper | Ada Lovelace |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 184 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 67 TFLOPS | 29.1 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 466 TOPS |
| Memory Bandwidth | 3,350 GB/s | 504 GB/s |
Performance Analysis
The H100's FP16 performance of 1979 TFLOPS vastly outpaces the RTX 4070's 29.1 TFLOPS, enabling faster model training and inference in mixed-precision workflows common in deep learning. Its FP32 throughput of 67 TFLOPS supports precise computations better than the RTX 4070's equal 29.1 TFLOPS in both formats, which limits scalability for large neural networks.
Memory bandwidth defines practical limits: the H100's 3350 GB/s allows massive batch sizes for training billion-parameter models, reducing time per epoch significantly. The RTX 4070's 504 GB/s constrains it to smaller batches, risking out-of-memory errors beyond 12 GB VRAM for models exceeding that capacity.
VRAM disparity proves critical for real-world use: 80 to 94 GB on the H100 handles full precision loading of large language models, while 12 GB on the RTX 4070 suits prototyping or fine-tuning compact networks. Power draw of 700W versus 200W influences deployment density in clouds.
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 |
RTX 4070
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the H100 PCIe
Select the H100 for large-scale AI training or inference requiring over 12 GB VRAM. Its 80 to 94 GB HBM3 and 3350 GB/s bandwidth support batch sizes impossible on the RTX 4070, accelerating FP16 tasks at 1979 TFLOPS. Datacenter interconnects like NVLink and PCIe 5.0 enable multi-GPU scaling across clusters.
When to Choose the RTX 4070
Choose the RTX 4070 for cost-sensitive prototyping, gaming, or small model inference under $0.14 per hour average. Its 12 GB GDDR6X suffices for Stable Diffusion or fine-tuning with 29.1 TFLOPS FP16, and 200W TDP fits edge or single-node setups. Limited offers reflect its niche in budget cloud access.
Use Cases
The H100's 80 to 94 GB VRAM and 1979 TFLOPS FP16 handle massive datasets and large batches for training billion-parameter models. The RTX 4070's 12 GB limits it to toy models.
H100 supports high-throughput inference with 3958 TFLOPS FP8 and 3350 GB/s bandwidth for production-scale queries. RTX 4070's 29.1 TFLOPS FP16 restricts it to low-volume use.
RTX 4070 manages small fine-tuning runs within 12 GB VRAM at 29.1 TFLOPS. H100 accelerates larger parameter counts with 67 TFLOPS FP32.
RTX 4070 generates images efficiently with 12 GB GDDR6X and 504 GB/s bandwidth at low $0.07 per hour cost. H100 overkill for single-user creative tasks.
H100's 67 TFLOPS FP32 and NVLink interconnect excel in simulations needing high precision and multi-GPU coordination. RTX 4070 lacks bandwidth for complex datasets.
Frequently Asked Questions
Which GPU has more VRAM: H100 or RTX 4070?▾
The H100 offers 80 to 94 GB HBM3 VRAM, dwarfing the RTX 4070's 12 GB GDDR6X. This enables the H100 to load entire large models without swapping.
How do their memory bandwidths compare?▾
H100 provides 3350 GB/s, over six times the RTX 4070's 504 GB/s. Higher bandwidth on H100 supports larger batch sizes in training.
What is the FP16 performance difference?▾
H100 achieves 1979 TFLOPS FP16 versus RTX 4070's 29.1 TFLOPS, a 68-fold advantage. This accelerates AI training significantly on H100.
Which is cheaper in the cloud?▾
RTX 4070 starts at $0.07 per hour averaging $0.14, far below H100's $1.25 minimum and $2.59 average. Budget tasks favor RTX 4070.
Can RTX 4070 handle LLM inference?▾
RTX 4070 manages small LLMs within 12 GB VRAM at 29.1 TFLOPS FP16. Larger models require H100's 80 to 94 GB capacity.
What are their power consumptions?▾
H100 draws 700W TDP, suited for datacenter cooling. RTX 4070 uses 200W, ideal for consumer or low-density cloud instances.
Which is cheaper to rent, the H100 or the RTX 4070?▾
Cloud rental prices for both the H100 and RTX 4070 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 RTX 4070?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find H100 and RTX 4070 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 RTX 4070?▾
The H100 uses the Hopper architecture (2022) while the RTX 4070 uses Ada Lovelace (2023). The H100 delivers 68.0x the FP16 throughput and 6.6x the memory bandwidth of the RTX 4070.