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
Compute specifications reveal profound differences between GTX 1080 Ti and H100 SXM5. H100 achieves 1979 TFLOPS in FP16 versus 22.5 TFLOPS on GTX 1080 Ti: this accelerates deep learning training, where mixed-precision FP16 reduces memory use while maintaining speed. FP32 performance of 67 TFLOPS on H100 outpaces 11.3 TFLOPS on GTX 1080 Ti, aiding precise scientific computing and traditional ML.
Memory bandwidth defines practical limits: H100's 3350 GB/s enables large batch sizes in model training, minimizing stalls unlike GTX 1080 Ti's 484 GB/s. For inference, H100's 80 GB VRAM loads full large language models without splitting, while 11 GB on GTX 1080 Ti requires heavy quantization or multi-GPU setups. These factors scale throughput dramatically on H100 for production workloads.
Interconnects further the gap: NVLink on H100 SXM5 scales multi-GPU clusters efficiently, absent on 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 SXM5
| 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-limited prototyping and light workloads. Its $0.60 per hour average pricing and 250W TDP fit small-scale inference for models under 11 GB VRAM or basic Stable Diffusion generation. Users prioritize cost over speed in hobbyist projects or legacy software.
Power-constrained environments favor GTX 1080 Ti: it integrates easily into PCIe slots without datacenter infrastructure.
When to Choose the H100 SXM5
The H100 SXM5 dominates demanding AI tasks. With 1979 TFLOPS FP16 and 3350 GB/s bandwidth, it trains large LLMs efficiently at scale via NVLink. Production inference benefits from 80 GB VRAM loading full models.
High-throughput needs justify $3.48 per hour average: H100 SXM5 delivers returns through speed in enterprise ML pipelines.
Use Cases
H100 SXM5's 1979 TFLOPS FP16 and 3350 GB/s bandwidth handle massive datasets and large batches. GTX 1080 Ti's 22.5 TFLOPS FP16 and 484 GB/s limit scale.
80 GB HBM3 VRAM on H100 SXM5 fits full LLMs without quantization. 11 GB GDDR5X on GTX 1080 Ti requires model compression.
Fine-tuning leverages H100 SXM5's 1979 TFLOPS FP16 for rapid iterations on large models. GTX 1080 Ti's 22.5 TFLOPS proves inadequate for efficiency.
GTX 1080 Ti runs basic generations at $0.60 per hour with 11 GB VRAM. H100 SXM5 accelerates high-resolution batches via 1979 TFLOPS FP16.
H100 SXM5's 67 TFLOPS FP32 and NVLink outperform GTX 1080 Ti's 11.3 TFLOPS for simulations. 3350 GB/s bandwidth aids large datasets.
Frequently Asked Questions
Is GTX 1080 Ti suitable for modern AI training?▾
GTX 1080 Ti offers only 22.5 TFLOPS FP16 and 11 GB VRAM, insufficient for large models. H100 SXM5 provides 1979 TFLOPS FP16 and 80 GB VRAM for effective training. Bandwidth of 484 GB/s versus 3350 GB/s further limits GTX 1080 Ti.
Which GPU has lower cloud pricing?▾
GTX 1080 Ti averages $0.60 per hour across offers. H100 SXM5 starts at $0.80 per hour with $3.48 average across 31 offers. Selection depends on performance requirements.
How does H100 compare to GTX 1080 Ti in FP32?▾
H100 SXM5 delivers 67 TFLOPS FP32, over five times GTX 1080 Ti's 11.3 TFLOPS. This aids FP32-heavy tasks like simulations. Memory bandwidth amplifies the advantage at 3350 GB/s versus 484 GB/s.
What is the TDP difference?▾
GTX 1080 Ti TDP is 250W, suitable for standard setups. H100 SXM5 requires 700W and datacenter cooling. Lower TDP favors GTX 1080 Ti for edge deployments.
Does GTX 1080 Ti support multi-GPU scaling?▾
GTX 1080 Ti relies on PCIe interconnects without NVLink. H100 SXM5 uses NVLink, PCIe 5.0, and InfiniBand for efficient scaling. This enables clustered performance unattainable on GTX 1080 Ti.
Can GTX 1080 Ti handle Stable Diffusion?▾
GTX 1080 Ti supports Stable Diffusion with 11 GB VRAM for standard resolutions. H100 SXM5 generates faster via 1979 TFLOPS FP16. Cost at $0.60 per hour makes GTX 1080 Ti viable for casual use.
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.