Specifications Compared
| Spec | H100 | RTX-3070 |
|---|---|---|
| TDP | 700W | 220W |
| VRAM | 80-94 GB | 8 GB |
| CUDA Cores | 16,896 | 5,888 |
| Memory Type | HBM3 | GDDR6 |
| Architecture | Hopper | Ampere |
| 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 | 20.3 TFLOPS |
| FP32 Performance | 67 TFLOPS | 20.3 TFLOPS |
| FP64 Performance | 34 TFLOPS | |
| INT8 Performance | 3,958 TOPS | |
| Memory Bandwidth | 3,350 GB/s | 448 GB/s |
Performance Analysis
The H100 PCIe vastly outpaces the RTX 3070 Ti in compute throughput: 1979 TFLOPS FP16 versus 20.3 TFLOPS enables training large models in hours rather than days, while 67 TFLOPS FP32 exceeds the RTX 3070 Ti's 20.3 TFLOPS for graphics and simulations. This FP16 to FP32 delta on the H100 highlights tensor core optimizations for AI, where half-precision accelerates training without accuracy loss; the RTX 3070 Ti's balanced 20.3 TFLOPS across both suits general compute but bottlenecks at scale.
Memory differences profoundly impact workloads: 80 to 94 GB HBM3 on the H100 supports batch sizes thousands of times larger than the RTX 3070 Ti's 8 GB GDDR6 limit, preventing out-of-memory errors in LLMs or diffusion models. The 3350 GB/s bandwidth versus 448 GB/s ensures sustained data flow during inference, reducing latency; lower bandwidth on the RTX 3070 Ti throttles large datasets, confining it to smaller batches.
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 | ||
 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×) |
When to Choose the H100 PCIe
The H100 PCIe excels in enterprise AI training and inference where models exceed 8 GB VRAM, such as billion-parameter LLMs fitting within its 80 to 94 GB HBM3. Its 1979 TFLOPS FP16 and 3350 GB/s bandwidth handle massive parallel jobs efficiently, justifying $1.25 to $2.75 per hour for production-scale deployments.
When to Choose the RTX 3070 Ti
The RTX 3070 Ti suits budget-conscious users for prototyping, gaming, or small-scale ML with its 8 GB GDDR6 and 20.3 TFLOPS FP32 at $0.06 to $0.08 per hour. It performs adequately for tasks under 8 GB memory needs, like fine-tuning compact models or Stable Diffusion on modest images.
Use Cases
The H100's 80 to 94 GB HBM3 VRAM and 1979 TFLOPS FP16 handle massive datasets and parameters that exceed the RTX 3070 Ti's 8 GB limit. Bandwidth of 3350 GB/s ensures efficient scaling across large batches.
H100 PCIe supports high-throughput serving with 3958 TFLOPS FP8 and vast memory for production loads. RTX 3070 Ti struggles with models over 8 GB.
Small models fit RTX 3070 Ti's 8 GB GDDR6 at low cost; H100 accelerates larger ones with 67 TFLOPS FP32. Choice depends on model size.
RTX 3070 Ti generates images quickly at 20.3 TFLOPS FP16 for consumer use under 8 GB. H100 overkill unless scaling to high-res batches.
H100's 3350 GB/s bandwidth and 700W TDP power complex simulations; RTX 3070 Ti's 448 GB/s limits large-scale HPC.
Frequently Asked Questions
Which GPU has more VRAM: H100 PCIe or RTX 3070 Ti?▾
The H100 PCIe provides 80 to 94 GB HBM3 VRAM, dwarfing the RTX 3070 Ti's 8 GB GDDR6. This enables the H100 to load enormous models, while the RTX 3070 Ti suits smaller tasks.
How do FP16 performance numbers compare?▾
H100 PCIe achieves 1979 TFLOPS FP16 versus RTX 3070 Ti's 20.3 TFLOPS, nearly 100 times higher. This gap accelerates AI training significantly on the H100.
What is the price difference in cloud rentals?▾
H100 PCIe rents from $1.25 per hour averaging $2.75 across 17 offers; RTX 3070 Ti starts at $0.06 per hour averaging $0.08 over 2 offers. Budget tasks favor the RTX.
Can RTX 3070 Ti handle LLM inference?▾
RTX 3070 Ti manages small LLMs within 8 GB VRAM at 20.3 TFLOPS FP16, but fails on larger ones. H100 PCIe with 80 to 94 GB excels for production inference.
Which has higher memory bandwidth?▾
H100 PCIe offers 3350 GB/s, over 7 times the RTX 3070 Ti's 448 GB/s. This sustains high batch sizes on H100 for data-intensive workloads.
What are the TDPs of these GPUs?▾
H100 PCIe consumes 700W TDP for datacenter power; RTX 3070 Ti uses 220W suitable for consumer setups. Higher TDP correlates with H100's superior compute.
Which is cheaper to rent, the H100 or the RTX 3070?▾
Cloud rental prices for both the H100 and RTX 3070 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 3070?▾
The H100 has 80 to 94 GB of HBM3 memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find H100 and RTX 3070 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 3070?▾
The H100 uses the Hopper architecture (2022) while the RTX 3070 uses Ampere (2020). The H100 delivers 97.5x the FP16 throughput and 7.5x the memory bandwidth of the RTX 3070.