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 SXM5 dominates in FP16 performance with 1979 TFLOPS versus the RTX 4070 Ti's 29.1 TFLOPS: this enables approximately 68 times faster tensor operations for neural network training and inference. Its FP32 throughput of 67 TFLOPS still doubles the competitor's 29.1 TFLOPS, benefiting general-purpose simulations.
Memory bandwidth tells a similar story: 3350 GB/s on the H100 SXM5 supports massive batch sizes in training large models, minimizing data bottlenecks and epochs. The RTX 4070 Ti's 504 GB/s limits it to smaller batches, suitable only for modest datasets. FP8 capability at 3958 TFLOPS on H100 accelerates quantized inference, unavailable at scale on the consumer card.
Power efficiency shifts with workload: H100 SXM5's 700W TDP yields higher throughput per watt in datacenter AI, while RTX 4070 Ti's 200W fits edge or prototyping.
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 |
RTX 4070 Ti
| 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 SXM5
Choose the H100 SXM5 for large-scale LLM training or inference demanding over 80 GB VRAM and 3350 GB/s bandwidth to process billion-parameter models without swapping. Its NVLink and InfiniBand interconnects enable multi-GPU clusters for scientific computing at 1979 TFLOPS FP16.
Enterprise users prioritizing speed over cost opt for it in production environments, where $3.58 average hourly pricing justifies 68-fold FP16 gains.
When to Choose the RTX 4070 Ti
The RTX 4070 Ti serves budget prototyping, Stable Diffusion generation, or small fine-tuning tasks fitting within 12 GB VRAM and 504 GB/s bandwidth. Its $0.08 per hour starting price and 200W TDP make it ideal for individual developers or short experiments.
Gamers or light inference users benefit from PCIe simplicity without datacenter overhead.
Use Cases
H100 SXM5's 80-94 GB HBM3 VRAM and 1979 TFLOPS FP16 support massive models; RTX 4070 Ti's 12 GB GDDR6X cannot accommodate large batches.
3958 TFLOPS FP8 and 3350 GB/s bandwidth on H100 SXM5 enable high-throughput quantized serving; RTX 4070 Ti lacks scale at 29.1 TFLOPS.
RTX 4070 Ti suffices for small models under 12 GB at $0.08/hr; H100 SXM5 accelerates larger ones with 67 TFLOPS FP32.
RTX 4070 Ti's 29.1 TFLOPS FP16 and 504 GB/s handle image generation efficiently at low cost; H100 SXM5 overkill for single-user tasks.
H100 SXM5's NVLink, 700W TDP scalability, and 3350 GB/s bandwidth excel in simulations; RTX 4070 Ti limited by PCIe and 12 GB VRAM.
Frequently Asked Questions
Which GPU has more VRAM: H100 SXM5 or RTX 4070 Ti?▾
The H100 SXM5 offers 80 to 94 GB HBM3 VRAM, compared to 12 GB GDDR6X on the RTX 4070 Ti. This allows H100 to load much larger models without offloading.
How do cloud prices compare for H100 SXM5 and RTX 4070 Ti?▾
H100 SXM5 starts at $0.80 per hour with an average of $3.58 across 34 offers. RTX 4070 Ti is far cheaper at $0.08 per hour averaging $0.22 across 5 offers.
What is the FP16 performance difference?▾
H100 SXM5 achieves 1979 TFLOPS FP16, about 68 times the RTX 4070 Ti's 29.1 TFLOPS. This gap accelerates AI training significantly.
Which has higher memory bandwidth?▾
H100 SXM5 provides 3350 GB/s, over six times the RTX 4070 Ti's 504 GB/s. Higher bandwidth supports larger batch sizes in ML workflows.
What are the TDP ratings?▾
H100 SXM5 consumes 700W for datacenter performance, while RTX 4070 Ti uses 200W suitable for consumer setups. Power scales with compute demands.
Can RTX 4070 Ti replace H100 SXM5 for AI training?▾
No, RTX 4070 Ti's 12 GB VRAM and 29.1 TFLOPS limit it to small models. H100 SXM5's 80-94 GB and 1979 TFLOPS are essential for large-scale training.
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.