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
FP16 performance defines AI suitability: H100 NVL delivers 1979 TFLOPS, enabling rapid training of large neural networks, while its 67 TFLOPS FP32 suits mixed-precision HPC. RTX 4070 matches 29.1 TFLOPS across FP16 and FP32, balancing graphics rendering and lighter inference without specialized acceleration.
Memory bandwidth dictates batch size feasibility: H100 NVL's 3350 GB/s handles enormous datasets for training trillion-parameter models, reducing I/O bottlenecks. RTX 4070's 504 GB/s constrains it to smaller batches, fitting consumer inference but slowing large-scale operations.
TDP highlights deployment realities: H100 NVL requires 700W with SXM5 or PCIe form factors for datacenter racks, RTX 4070 uses 200W in PCIe slots for efficient desktop or edge use.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100 NVL
| 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 | ||
 Voltage Park | 8×NVIDIA H100 SXM5 80GB VRAM | 80GB | 208 vCPU 928GB RAM 19200GB Storage | Dallas, Texas | $1.99/GPU/hr $15.92/hr total (8×) |
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 NVL
NVIDIA H100 NVL dominates large-scale LLM training and scientific computing needing 80 to 94 GB VRAM. Its 1979 TFLOPS FP16 and 3350 GB/s bandwidth accelerate multi-GPU setups via NVLink at $1.40 per hour starting price.
Enterprise teams prioritize it for inference on massive models where RTX 4070's 12 GB VRAM falls short.
When to Choose the RTX 4070
NVIDIA GeForce RTX 4070 fits budget prototyping, Stable Diffusion, and small model fine-tuning with 12 GB VRAM at $0.07 per hour. Its 200W TDP enables easy integration into consumer hardware without datacenter infrastructure.
Solo developers or gamers choose it for cost-effective FP16 tasks up to 29.1 TFLOPS where scale is unnecessary.
Use Cases
H100 NVL's 80-94 GB HBM3 VRAM and 1979 TFLOPS FP16 support training trillion-parameter models with large batches. RTX 4070's 12 GB GDDR6X cannot accommodate such scale.
3350 GB/s bandwidth on H100 NVL enables high-throughput inference for large models. RTX 4070's 504 GB/s limits it to smaller deployments.
RTX 4070 handles small model fine-tuning efficiently at 29.1 TFLOPS FP16 and $0.07 per hour. H100 NVL excels for larger models needing 80 GB VRAM.
RTX 4070's 12 GB VRAM and 29.1 TFLOPS suffice for image generation at low $0.14 per hour average. H100 NVL overkill for single-user creative tasks.
H100 NVL's 67 TFLOPS FP32 and NVLink interconnect scale simulations across nodes. RTX 4070 lacks bandwidth for complex datasets.
Frequently Asked Questions
Is NVIDIA H100 NVL faster than RTX 4070 for AI training?▾
H100 NVL achieves 1979 TFLOPS FP16 versus RTX 4070's 29.1 TFLOPS, accelerating training by over 60 times. Its 80-94 GB VRAM supports larger models. RTX 4070 suits only small-scale tasks.
How much VRAM does H100 NVL have compared to RTX 4070?▾
H100 NVL offers 80-94 GB HBM3, enabling massive batch sizes. RTX 4070 provides 12 GB GDDR6X for consumer workloads. The difference impacts large model handling.
What is the price difference for cloud rental?▾
H100 NVL starts at $1.40 per hour, averaging $2.89 across 9 offers. RTX 4070 begins at $0.07 per hour, averaging $0.14 across 2 offers. Budget drives RTX 4070 choice.
Can RTX 4070 handle LLM inference like H100 NVL?▾
RTX 4070 manages small LLMs with 504 GB/s bandwidth and 29.1 TFLOPS. H100 NVL's 3350 GB/s excels for production-scale inference. Scale determines suitability.
What is the power consumption of each GPU?▾
H100 NVL draws 700W, requiring datacenter cooling. RTX 4070 uses 200W for desktop compatibility. This affects deployment costs.
Which has higher memory bandwidth?▾
H100 NVL provides 3350 GB/s, six times RTX 4070's 504 GB/s. Higher bandwidth reduces training bottlenecks. It favors data-intensive workloads.
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.