Specifications Compared
| Spec | GTX-1070 | H100 |
|---|---|---|
| TDP | 150W | 700W |
| VRAM | 8 GB | 80-94 GB |
| CUDA Cores | 1,920 | 16,896 |
| Memory Type | GDDR5 | HBM3 |
| Architecture | Pascal | Hopper |
| Form Factors | PCIe | SXM5, PCIe, NVL |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| FP16 Performance | 6.5 TFLOPS | 1,979 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 67 TFLOPS |
| Memory Bandwidth | 256 GB/s | 3,350 GB/s |
Performance Analysis
The H100 PCIe vastly outperforms the GTX 1070 in compute capabilities: its 1979 TFLOPS FP16 dwarfs the GTX 1070's 6.5 TFLOPS, enabling faster AI model training where half-precision dominates. FP32 performance shows 67 TFLOPS versus 6.5 TFLOPS, a tenfold gain ideal for scientific simulations requiring single-precision accuracy. This delta translates to H100 handling large-scale deep learning epochs in minutes, while GTX 1070 struggles beyond small datasets.
Memory differences profoundly impact workloads: H100's 3350 GB/s bandwidth and 80-94 GB HBM3 support massive batch sizes in training, reducing iterations for models like LLMs. GTX 1070's 256 GB/s and 8 GB GDDR5 limit it to tiny batches, causing out-of-memory errors on modern networks. For inference, H100's FP8 at 3958 TFLOPS accelerates high-throughput serving, versus GTX 1070's inadequacy for real-time demands.
Power scales accordingly: H100's 700W TDP demands robust cooling, while GTX 1070's 150W fits consumer rigs, but efficiency favors H100 per TFLOP.
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 GTX 1070
The GTX 1070 excels in low-budget, local gaming or hobbyist compute where cloud access is unnecessary. Its 150W TDP and PCIe compatibility enable easy integration into existing desktops without high power costs. Users running lightweight tasks like basic Stable Diffusion at small resolutions or legacy games benefit from its 6.5 TFLOPS FP32, especially since no live cloud offers exist, favoring second-hand purchases under $100.
When to Choose the H100 PCIe
Opt for the H100 PCIe in professional AI development requiring scale. Its 1979 TFLOPS FP16 and 3350 GB/s bandwidth handle LLM training or large-batch inference unavailable on GTX 1070's 8 GB VRAM. Cloud availability from $1.25 per hour suits teams avoiding upfront hardware costs for Hopper's NVLink and PCIe 5.0 interconnects.
Use Cases
H100's 1979 TFLOPS FP16 and 80-94 GB HBM3 handle massive models; GTX 1070's 8 GB VRAM causes out-of-memory failures.
H100's 3958 TFLOPS FP8 and 3350 GB/s bandwidth support high-throughput serving; GTX 1070 lacks capacity for production-scale queries.
H100's 67 TFLOPS FP32 and high bandwidth enable efficient parameter updates on large datasets; GTX 1070 suits only tiny models.
GTX 1070 runs small-resolution generations at 6.5 TFLOPS; H100 accelerates high-res or batch jobs with 1979 TFLOPS FP16.
H100's 67 TFLOPS FP32 outperforms GTX 1070's 6.5 TFLOPS for simulations; bandwidth aids large matrix operations.
Frequently Asked Questions
What is the VRAM difference between GTX 1070 and H100 PCIe?▾
GTX 1070 has 8 GB GDDR5; H100 PCIe offers 80-94 GB HBM3. This enables H100 to load models 10 times larger without swapping.
How much faster is H100 for AI training?▾
H100 delivers 1979 TFLOPS FP16 versus GTX 1070's 6.5 TFLOPS, over 300 times higher. Training epochs scale linearly with this metric.
What are current H100 PCIe rental prices?▾
Pricing starts at $1.25 per hour, averaging $2.68 per hour across 16 providers. GTX 1070 has no live cloud offers.
Can GTX 1070 handle modern LLMs?▾
GTX 1070's 8 GB VRAM limits it to tiny models under 1B parameters. H100's 80-94 GB supports full-scale LLMs like GPT variants.
What is the power consumption gap?▾
GTX 1070 uses 150W TDP; H100 requires 700W. H100 offers superior perf-per-watt at scale despite higher draw.
Which has better memory bandwidth?▾
H100 provides 3350 GB/s versus GTX 1070's 256 GB/s, 13 times more. This boosts batch sizes in training by orders of magnitude.
Which is cheaper to rent, the GTX 1070 or the H100?▾
Cloud rental prices for both the GTX 1070 and H100 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 GTX 1070 have compared to the H100?▾
The GTX 1070 has 8 GB of GDDR5 memory. The H100 has 80 to 94 GB of HBM3 memory.
Can I find GTX 1070 and H100 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 GTX 1070 and the H100?▾
The GTX 1070 uses the Pascal architecture (2016) while the H100 uses Hopper (2022). The H100 delivers 304.5x the FP16 throughput and 13.1x the memory bandwidth of the GTX 1070.