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 vastly outpaces the GTX 1070 in compute performance, with FP16 reaching 1979 TFLOPS compared to 6.5 TFLOPS, a factor of over 300. This disparity accelerates deep learning training and inference, where half-precision computations dominate: training large language models on H100 completes in fractions of the time versus GTX 1070. FP32 performance also favors H100 at 67 TFLOPS against 6.5 TFLOPS, benefiting general-purpose simulations.
Memory specifications define workload feasibility. H100's 80-94 GB HBM3 and 3350 GB/s bandwidth support massive batch sizes for models exceeding 8 GB GDDR5 on GTX 1070, reducing data transfer bottlenecks in inference pipelines. GTX 1070 handles small batches adequately but stalls on memory-intensive tasks.
Power and interconnects further differentiate them. H100's 700W TDP and NVLink enable multi-GPU scaling, ideal for distributed training, while GTX 1070's 150W and basic PCIe limit it to single-node, low-power setups.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
H100
| 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 budget-conscious, local desktop environments for non-AI tasks. Its 150W TDP and 8 GB GDDR5 suit gaming at 1080p or 1440p resolutions, light video editing, and legacy CUDA applications where 6.5 TFLOPS FP32 suffices. Without cloud pricing, it avoids rental costs for hobbyists or offline rendering.
Choose GTX 1070 when power constraints or acquisition costs prioritize over performance: it fits standard PCIe slots without datacenter infrastructure.
When to Choose the H100
The H100 dominates AI and HPC workloads requiring high throughput. Its 1979 TFLOPS FP16 and 80-94 GB HBM3 enable training billion-parameter models, with 3350 GB/s bandwidth supporting large batch sizes unattainable on GTX 1070.
Opt for H100 in cloud deployments from $0.80 per hour, leveraging NVLink for multi-GPU clusters in production inference or scientific simulations.
Use Cases
H100's 1979 TFLOPS FP16 and 80-94 GB HBM3 support training massive models with large batches. GTX 1070's 6.5 TFLOPS and 8 GB VRAM limit it to tiny models.
H100's 3958 TFLOPS FP8 and 3350 GB/s bandwidth enable high-throughput serving of large models. GTX 1070 struggles with models beyond 8 GB VRAM.
H100 handles fine-tuning of large models via 67 TFLOPS FP32 and high bandwidth. GTX 1070 suits only small datasets due to memory limits.
GTX 1070 runs basic Stable Diffusion at 6.5 TFLOPS for small images. H100 accelerates high-resolution generation with 1979 TFLOPS FP16.
H100's 67 TFLOPS FP32 and NVLink scaling excel in simulations. GTX 1070's 6.5 TFLOPS confines it to modest computations.
Frequently Asked Questions
What is the VRAM difference between GTX 1070 and H100?▾
GTX 1070 has 8 GB GDDR5 VRAM. H100 offers 80-94 GB HBM3, allowing vastly larger models and batch sizes.
How does H100 compare to GTX 1070 in FP16 performance?▾
H100 delivers 1979 TFLOPS FP16, over 300 times the GTX 1070's 6.5 TFLOPS. This boosts AI training speed dramatically.
Is GTX 1070 suitable for modern AI training?▾
GTX 1070's 8 GB VRAM and 6.5 TFLOPS limit it to small models. H100's specs make it far superior for current workloads.
What is the power consumption of these GPUs?▾
GTX 1070 TDP is 150W. H100 requires 700W, suited for datacenter cooling.
What are H100 cloud rental prices?▾
H100 pricing starts at $0.80 per hour, averaging $3.17 per hour across 56 offers. GTX 1070 has no live cloud offers.
Can GTX 1070 use NVLink?▾
GTX 1070 lacks NVLink, relying on PCIe. H100 supports NVLink, PCIe 5.0, and InfiniBand for scaling.
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.