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 PCIe dominates in AI accelerators: its 1979 TFLOPS FP16 vastly exceeds the RTX 4070 SUPER's 35.5 TFLOPS, accelerating training and inference for large language models by orders of magnitude. The FP32 rating of 67 TFLOPS on H100 PCIe surpasses the 35.5 TFLOPS on RTX 4070 SUPER, benefiting traditional simulations, though both GPUs equalize FP16 and FP32 on the consumer side for graphics balance.
Memory specifications dictate real-world viability. The 80 GB HBM3 VRAM on H100 PCIe supports enormous models and batch sizes, preventing out-of-memory errors common with RTX 4070 SUPER's 12 GB limit. Bandwidth of 2000 GB/s on H100 PCIe enables high-throughput data movement, sustaining large batches in training; 672 GB/s on RTX 4070 SUPER constrains it to smaller workloads.
Power draw reflects intent: 350 W TDP for H100 PCIe suits server farms, while 220 W on RTX 4070 SUPER fits desktops. These differences mean H100 PCIe scales for production AI, RTX 4070 SUPER for prototyping.
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 SUPER
| 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
Choose H100 PCIe for large-scale LLM training or inference requiring over 12 GB VRAM: its 80 GB capacity and 1979 TFLOPS FP16 handle billion-parameter models efficiently. High-end scientific computing benefits from 2000 GB/s bandwidth and 67 TFLOPS FP32.
Cloud deployments at $1.25 per hour make it ideal when local hardware falls short, especially with 22 live offers available.
When to Choose the RTX 4070 SUPER
Opt for RTX 4070 SUPER in gaming, video editing, or small-scale AI like personal Stable Diffusion: 35.5 TFLOPS FP16 and 12 GB VRAM suffice at 220 W TDP.
It excels in cost-free desktop setups without cloud dependency, as no rental offers exist.
Use Cases
H100 PCIe 80 GB VRAM and 1979 TFLOPS FP16 manage massive datasets; RTX 4070 SUPER 12 GB restricts scale.
2000 GB/s bandwidth and 3958 TFLOPS FP8 on H100 PCIe deliver low-latency for large models.
RTX 4070 SUPER handles small models with 12 GB VRAM; H100 PCIe needed for datasets exceeding that.
RTX 4070 SUPER 35.5 TFLOPS FP16 and 672 GB/s bandwidth perform well for image generation at low 220 W.
H100 PCIe 67 TFLOPS FP32 and high VRAM suit complex simulations.
Frequently Asked Questions
What is the VRAM difference between H100 PCIe and RTX 4070 SUPER?▾
H100 PCIe features 80 GB HBM3 VRAM. RTX 4070 SUPER has 12 GB GDDR6X. This gap favors H100 for large AI models.
How do FP16 performances compare?▾
H100 PCIe achieves 1979 TFLOPS FP16. RTX 4070 SUPER reaches 35.5 TFLOPS. H100 excels in AI acceleration.
What are the cloud prices for these GPUs?▾
H100 PCIe starts at $1.25 per hour, averaging $2.59 across 22 offers. RTX 4070 SUPER has no live cloud offers.
Which has higher memory bandwidth?▾
H100 PCIe offers 2000 GB/s. RTX 4070 SUPER provides 672 GB/s. Higher bandwidth supports bigger batches on H100.
Compare their TDPs.▾
H100 PCIe TDP is 350 W. RTX 4070 SUPER TDP is 220 W. RTX suits power-constrained environments.
Is H100 PCIe better for LLM training than RTX 4070 SUPER?▾
Yes, due to 80 GB VRAM versus 12 GB and 1979 TFLOPS FP16 versus 35.5 TFLOPS. Consumer GPU limits model size.
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.