Specifications Compared
| Spec | GTX-1080 | H100 |
|---|---|---|
| TDP | 180W | 700W |
| VRAM | 8-11 GB | 80-94 GB |
| CUDA Cores | 2,560 | 16,896 |
| Memory Type | GDDR5X | HBM3 |
| Architecture | Pascal | Hopper |
| Form Factors | PCIe | SXM5, PCIe, NVL |
| Interconnect | NVLink, PCIe 5.0, InfiniBand | |
| FP16 Performance | 8.9 TFLOPS | 1,979 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 67 TFLOPS |
| Memory Bandwidth | 320 GB/s | 3,350 GB/s |
Performance Analysis
The H100 PCIe vastly outperforms the GTX 1080 Ti in floating-point performance: its 1979 TFLOPS FP16 capability is over 222 times higher than the GTX 1080 Ti's 8.9 TFLOPS, accelerating neural network training where half-precision dominates. For FP32 tasks, the H100 PCIe delivers 67 TFLOPS compared to 8.9 TFLOPS, a 7.5-fold increase suitable for scientific simulations and general compute. This FP16 to FP32 delta means the H100 PCIe excels in mixed-precision training pipelines common in large language models, reducing epochs significantly. Memory bandwidth tells another story: 3350 GB/s on the H100 PCIe versus 320 GB/s on the GTX 1080 Ti enables much larger batch sizes, preventing out-of-memory errors for models exceeding 8 to 11 GB VRAM. Consequently, inference latency drops dramatically on the H100 PCIe for production-scale deployments. The 700W TDP of the H100 PCIe versus 180W reflects its datacenter orientation, demanding robust cooling unlike the PCIe-only GTX 1080 Ti.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GTX 1080 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 4×NVIDIA GeForce GTX 1080 8GB VRAM | 8GB | 0 vCPU 64GB RAM 480GB Storage | Netherlands | $0.30/GPU/hr $1.20/hr total (4×) | Available | ||
LeaderGPU | 8×NVIDIA GeForce GTX 1080 Ti 11GB VRAM | 11GB | 0 vCPU 128GB RAM 480GB Storage | Netherlands | $0.60/GPU/hr $4.80/hr total (8×) | Available |
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 1080 Ti
The GTX 1080 Ti suits budget-conscious users for lightweight tasks. Its $0.60 per hour pricing and 180W TDP make it ideal for small-scale inference or Stable Diffusion on modest datasets fitting within 8 to 11 GB VRAM. Developers prototyping simple models or running hobbyist gaming workloads benefit from its low cost without needing high memory bandwidth.
When to Choose the H100 PCIe
Opt for the H100 PCIe in demanding AI scenarios. Its 80 to 94 GB HBM3 VRAM and 3350 GB/s bandwidth handle massive models, enabling efficient LLM training at 1979 TFLOPS FP16. Enterprises prioritizing speed over the $1.25 to $2.68 per hour cost choose it for production inference and large-batch fine-tuning.
Use Cases
The H100 PCIe provides 1979 TFLOPS FP16, over 222 times the GTX 1080 Ti's 8.9 TFLOPS, enabling faster training of large models. Its 80 to 94 GB VRAM supports massive datasets unavailable on the GTX 1080 Ti.
H100 PCIe inference benefits from 3350 GB/s bandwidth for large batch sizes and low latency. GTX 1080 Ti limits scale with 320 GB/s and 8 to 11 GB VRAM.
Fine-tuning large models requires the H100 PCE's 67 TFLOPS FP32 and high VRAM. GTX 1080 Ti struggles with memory constraints at 8.9 TFLOPS FP32.
GTX 1080 Ti handles basic Stable Diffusion within 8 to 11 GB VRAM at low cost. H100 PCIe accelerates high-resolution generations with superior bandwidth.
H100 PCIe FP32 performance of 67 TFLOPS suits simulations far better than GTX 1080 Ti's 8.9 TFLOPS. Its interconnects like PCIe 5.0 enhance multi-GPU scaling.
Frequently Asked Questions
Which GPU has more VRAM: GTX 1080 Ti or H100 PCIe?▾
The H100 PCIe offers 80 to 94 GB HBM3 VRAM, compared to the GTX 1080 Ti's 8 to 11 GB GDDR5X. This allows the H100 PCIe to load much larger models without swapping. GTX 1080 Ti suffices for smaller workloads.
How does memory bandwidth compare between GTX 1080 Ti and H100 PCIe?▾
H100 PCIe provides 3350 GB/s, over 10 times the GTX 1080 Ti's 320 GB/s. Higher bandwidth on H100 PCIe supports larger batches in training. GTX 1080 Ti faces bottlenecks in data-intensive tasks.
What is the FP32 performance difference?▾
H100 PCIe achieves 67 TFLOPS FP32 versus GTX 1080 Ti's 8.9 TFLOPS, a 7.5 times advantage. This boosts scientific computing on H100 PCIe. Legacy apps may not fully utilize the gap.
Which is cheaper to rent in the cloud?▾
GTX 1080 Ti starts at $0.60 per hour across limited offers. H100 PCIe begins at $1.25 per hour, averaging $2.68 across 16 offers. Budget tasks favor GTX 1080 Ti.
Is GTX 1080 Ti still viable for AI in 2024?▾
GTX 1080 Ti works for basic inference with 8.9 TFLOPS FP16 and low $0.60 per hour cost. Modern LLMs exceed its 8 to 11 GB VRAM. H100 PCIe is required for scale.
What are the power requirements?▾
GTX 1080 Ti draws 180W TDP in PCIe form. H100 PCIe consumes 700W, needing datacenter infrastructure. Lower TDP makes GTX 1080 Ti easier for small setups.
Which is cheaper to rent, the GTX 1080 or the H100?▾
Cloud rental prices for both the GTX 1080 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 1080 have compared to the H100?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The H100 has 80 to 94 GB of HBM3 memory.
Can I find GTX 1080 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 1080 and the H100?▾
The GTX 1080 uses the Pascal architecture (2016) while the H100 uses Hopper (2022). The H100 delivers 222.4x the FP16 throughput and 10.5x the memory bandwidth of the GTX 1080.