Specifications Compared
| Spec | H100 | RTX-5070 |
|---|---|---|
| TDP | 700W | 250W |
| VRAM | 80-94 GB | 12 GB |
| CUDA Cores | 16,896 | 6,144 |
| Memory Type | HBM3 | GDDR7 |
| Architecture | Hopper | Blackwell |
| Form Factors | SXM5, PCIe, NVL | PCIe |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| Tensor Cores | 528 | 192 |
| FP8 Performance | 3,958 TFLOPS | |
| FP16 Performance | 1,979 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 67 TFLOPS | 40.6 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | 650 TOPS |
| Memory Bandwidth | 3,350 GB/s | 448 GB/s |
Performance Analysis
The H100 PCIe excels in AI workloads due to its FP16 performance of 1979 TFLOPS, far exceeding the RTX 5070 Ti's 40.6 TFLOPS: this enables faster model training where half-precision dominates. H100's FP32 at 67 TFLOPS slightly outpaces RTX 5070 Ti's 40.6 TFLOPS, but the FP16 delta accelerates deep learning pipelines by handling larger tensor operations efficiently.
Memory bandwidth defines batch size potential: H100's 3350 GB/s supports massive batches in training large language models, reducing iterations and time. RTX 5070 Ti's 448 GB/s limits it to smaller batches, suitable for inference on modest models but prone to out-of-memory errors on datasets exceeding 12 GB VRAM.
Power draw reflects deployment scale: H100's 700W TDP suits rack-scale clusters, while RTX 5070 Ti's 250W fits desktops or edge computing. Overall, H100 transforms high-throughput inference with FP8 at 3958 TFLOPS, unavailable at scale on consumer hardware.
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 |
When to Choose the H100 PCIe
The H100 PCIe dominates in enterprise AI: its 80 to 94 GB VRAM handles LLMs over 70B parameters during training, impossible on RTX 5070 Ti's 12 GB. Bandwidth of 3350 GB/s ensures large-batch fine-tuning without slowdowns, critical for research labs.
Datacenter interconnects like PCIe 5.0 and NVLink enable multi-GPU scaling for scientific simulations requiring 1979 TFLOPS FP16.
When to Choose the RTX 5070 Ti
The RTX 5070 Ti suits budget-conscious users: at $0.10 per hour average $0.19, it delivers 40.6 TFLOPS FP16 for Stable Diffusion or gaming at low cost. Its 250W TDP and PCIe form factor simplify desktop or small-scale cloud inference.
Blackwell architecture optimizes lighter tasks like real-time image generation, where 12 GB GDDR7 and 448 GB/s bandwidth suffice without enterprise overhead.
Use Cases
H100's 80-94 GB VRAM and 3350 GB/s bandwidth accommodate billion-parameter models with large batches. RTX 5070 Ti's 12 GB VRAM restricts training scale.
H100's 3958 TFLOPS FP8 and high bandwidth support high-throughput serving of large models. RTX 5070 Ti handles small models but bottlenecks on volume.
H100's 1979 TFLOPS FP16 accelerates gradient computations on datasets fitting 80 GB VRAM. RTX 5070 Ti's limits force model sharding.
RTX 5070 Ti's 40.6 TFLOPS and 12 GB GDDR7 suffice for image generation at low $0.19 per hour cost. H100 overkill for consumer creative tasks.
H100's 67 TFLOPS FP32 and NVLink scaling excel in simulations needing vast memory. RTX 5070 Ti's specs constrain complex physics modeling.
Frequently Asked Questions
What is the VRAM capacity of H100 PCIe versus RTX 5070 Ti?▾
H100 PCIe provides 80 to 94 GB HBM3 VRAM, enabling large model handling. RTX 5070 Ti offers 12 GB GDDR7, adequate for smaller workloads. This gap affects batch sizes in training.
Which GPU has superior FP16 performance?▾
H100 PCIe delivers 1979 TFLOPS FP16, vastly outperforming RTX 5070 Ti's 40.6 TFLOPS. This benefits AI training speed. FP8 on H100 reaches 3958 TFLOPS for inference.
How do cloud rental prices compare?▾
H100 PCIe rents from $1.25 per hour, averaging $2.64 across 24 offers. RTX 5070 Ti starts at $0.10 per hour, averaging $0.19 across 2 offers. Pricing reflects performance tiers.
What are the TDP ratings?▾
H100 PCIe consumes 700W, suited for datacenters. RTX 5070 Ti uses 250W, ideal for desktops. Lower TDP reduces cooling needs on consumer setups.
Which architecture do they use?▾
H100 PCIe uses Hopper from 2022 with NVLink support. RTX 5070 Ti employs Blackwell from 2025 for consumer efficiency. Blackwell advances ray tracing alongside compute.
Can RTX 5070 Ti replace H100 for AI?▾
RTX 5070 Ti's 12 GB VRAM and 448 GB/s bandwidth limit it to small models at 40.6 TFLOPS. H100's specs dominate large-scale AI. Use RTX for prototyping only.
Which is cheaper to rent, the H100 or the RTX 5070?▾
Cloud rental prices for both the H100 and RTX 5070 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 5070?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find H100 and RTX 5070 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 5070?▾
The H100 uses the Hopper architecture (2022) while the RTX 5070 uses Blackwell (2025). The H100 delivers 48.7x the FP16 throughput and 7.5x the memory bandwidth of the RTX 5070.