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 NVL's FP16 performance reaches 1979 TFLOPS, far exceeding the RTX 4070 Ti SUPER's 29.1 TFLOPS: this disparity accelerates deep learning training, where half-precision arithmetic reduces memory use and speeds iterations on vast datasets. Conversely, the RTX 4070 Ti SUPER's equal 29.1 TFLOPS FP16 and FP32 suits general compute but limits scale in precision-heavy AI pipelines.
Memory bandwidth defines batch size potential: H100 NVL's 3350 GB/s supports massive batches in training and inference, minimizing data loading stalls, while 504 GB/s on RTX 4070 Ti SUPER constrains workloads to smaller scales. The 80 to 94 GB VRAM versus 12 GB further enables H100 NVL for giant models, avoiding out-of-memory errors common on consumer GPUs.
Power draw underscores deployment differences: H100 NVL at 700W TDP demands robust cooling for sustained datacenter runs, RTX 4070 Ti SUPER's 200W fits lighter cloud instances.
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 Ti 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 NVL
The H100 NVL excels in large-scale LLM training: its 80 to 94 GB HBM3 VRAM and 3350 GB/s bandwidth handle models exceeding 12 GB capacities on RTX 4070 Ti SUPER. Enterprise inference benefits from 1979 TFLOPS FP16, enabling low-latency serving at $1.40 to $2.89 per hour.
When to Choose the RTX 4070 Ti SUPER
The RTX 4070 Ti SUPER fits budget prototyping: at $0.09 to $0.17 per hour, its 29.1 TFLOPS FP16 supports small-scale fine-tuning and inference without H100 NVL's overhead. Gaming or lightweight Stable Diffusion runs leverage 504 GB/s bandwidth efficiently in cost-sensitive clouds.
Use Cases
H100 NVL's 80 to 94 GB VRAM and 1979 TFLOPS FP16 support massive model training batches via 3350 GB/s bandwidth. RTX 4070 Ti SUPER's 12 GB limits scale.
High FP16 throughput of 1979 TFLOPS on H100 NVL ensures low-latency serving for large models. The 12 GB VRAM on RTX 4070 Ti SUPER restricts deployment size.
RTX 4070 Ti SUPER handles small models at $0.09 per hour with 29.1 TFLOPS. H100 NVL suits larger ones needing 80 GB VRAM.
RTX 4070 Ti SUPER's 29.1 TFLOPS FP32 and 504 GB/s bandwidth generate images efficiently at low $0.17 average cost. H100 NVL overkill for consumer diffusion.
H100 NVL's 67 TFLOPS FP32 and NVLink interconnect accelerate simulations. RTX 4070 Ti SUPER lacks bandwidth for complex datasets.
Frequently Asked Questions
What is the VRAM difference between H100 NVL and RTX 4070 Ti SUPER?▾
H100 NVL provides 80 to 94 GB HBM3 VRAM. RTX 4070 Ti SUPER offers 12 GB GDDR6X. This enables H100 NVL for models far beyond consumer limits.
How do cloud prices compare for these GPUs?▾
H100 NVL starts at $1.40 per hour, averaging $2.89 across nine offers. RTX 4070 Ti SUPER is from $0.09, averaging $0.17 across two. Cost reflects performance tiers.
Which has higher FP16 performance?▾
H100 NVL delivers 1979 TFLOPS FP16. RTX 4070 Ti SUPER reaches 29.1 TFLOPS. The gap favors H100 NVL by 68 times for AI acceleration.
What are the memory bandwidth specs?▾
H100 NVL achieves 3350 GB/s. RTX 4070 Ti SUPER provides 504 GB/s. Higher bandwidth on H100 NVL supports larger training batches.
How do TDPs differ?▾
H100 NVL consumes 700W TDP. RTX 4070 Ti SUPER uses 200W. Lower power suits RTX for efficient, smaller cloud instances.
What architectures do they use?▾
H100 NVL employs Hopper from 2022. RTX 4070 Ti SUPER uses Ada Lovelace from 2023. Both optimize compute but target distinct markets.
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.