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
Compute performance favors the H100 PCIe overwhelmingly: its 1979 TFLOPS FP16 capability exceeds the GTX 1070 Ti's 8.9 TFLOPS by 222 times, accelerating deep learning training where half-precision dominates. FP32 performance shows H100 at 67 TFLOPS versus 8.9 TFLOPS, a 7.5-fold advantage for general-purpose computing and graphics rendering. In real-world terms, this enables H100 to handle massive neural networks infeasible on GTX 1070 Ti. Memory specs amplify differences: 80 GB HBM3 versus 8 GB GDDR5 supports models with billions of parameters, while 2000 GB/s bandwidth versus 256 GB/s permits larger batch sizes without stalling, crucial for efficient training throughput. For inference, H100's FP8 at nearly 4000 TFLOPS further boosts low-latency serving of large language models.
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 GTX 1070 Ti
The GTX 1070 Ti suits budget-conscious users with existing hardware for light gaming or entry-level tasks like basic image processing at 8.9 TFLOPS FP32. Its 180 W TDP and PCIe form factor enable easy desktop integration without cloud costs, ideal when no live rental offers exist. Local deployment avoids H100's $1.25 per hour pricing for small-scale, non-time-sensitive workloads.
When to Choose the H100 PCIe
Opt for H100 PCIe in AI-driven scenarios requiring 1979 TFLOPS FP16 for LLM training or inference on large datasets. The 80 GB VRAM handles models exceeding 8 GB limits, with 2000 GB/s bandwidth supporting high batch sizes. Cloud availability from $1.25 per hour scales effortlessly for enterprise HPC.
Use Cases
H100 PCIe provides 1979 TFLOPS FP16 and 80 GB VRAM, enabling training of large models impossible on GTX 1070 Ti's 8.9 TFLOPS and 8 GB.
H100's 2000 GB/s bandwidth and FP8 at 3958 TFLOPS support high-throughput serving; GTX 1070 Ti lacks capacity for production-scale inference.
The 67 TFLOPS FP32 and vast memory on H100 PCIe accelerate fine-tuning of billion-parameter models versus GTX 1070 Ti's constraints.
GTX 1070 Ti handles small-scale image generation at 8.9 TFLOPS locally; H100 PCIe excels for high-resolution batches with 80 GB VRAM.
H100's Hopper architecture and 2000 GB/s bandwidth optimize simulations; GTX 1070 Ti's Pascal limits complex datasets.
Frequently Asked Questions
What is the FP16 performance difference between GTX 1070 Ti and H100 PCIe?▾
GTX 1070 Ti delivers 8.9 TFLOPS FP16, while H100 PCIe reaches 1979 TFLOPS. This 222-fold gap transforms AI training speeds. Bandwidth also differs: 256 GB/s versus 2000 GB/s.
How much VRAM do these GPUs have?▾
GTX 1070 Ti features 8 GB GDDR5; H100 PCIe has 80 GB HBM3. Larger VRAM on H100 supports extensive model loading. This affects batch sizes in ML tasks.
What are the power requirements?▾
GTX 1070 Ti TDP is 180 W; H100 PCIe requires 350 W. Lower power suits desktops for 1070 Ti. H100 demands datacenter cooling.
Is GTX 1070 Ti suitable for modern AI workloads?▾
GTX 1070 Ti's 8.9 TFLOPS FP32 limits it to small models under 8 GB VRAM. H100 PCIe handles current demands at 1979 TFLOPS FP16. Legacy use fits gaming only.
What is the cloud pricing for H100 PCIe?▾
NVIDIA H100 PCIe starts at $1.25 per hour, averaging $2.68 across 16 offers. GTX 1070 Ti has no live cloud offers. Pricing reflects performance disparity.
Which architecture do they use?▾
GTX 1070 Ti uses Pascal from 2017; H100 PCIe uses Hopper from 2022. Hopper includes tensor cores for AI acceleration. Pascal suits general compute.
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.