Specifications Compared
| Spec | GTX-1080 | H200 |
|---|---|---|
| TDP | 180W | 700W |
| VRAM | 8-11 GB | 141 GB |
| CUDA Cores | 2,560 | 16,896 |
| Memory Type | GDDR5X | HBM3e |
| Architecture | Pascal | Hopper |
| Form Factors | PCIe | SXM, 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 | 4,800 GB/s |
Performance Analysis
The GTX 1080 Ti's equal 8.9 TFLOPS in FP16 and FP32 suits graphics rendering and general compute where full precision matters less than balanced throughput. The H200 NVL's FP16 at 1979 TFLOPS vastly exceeds its 67 TFLOPS FP32, optimizing for AI training where half-precision accelerates gradient computations by over 200 times compared to GTX 1080 Ti. FP8 performance at 3958 TFLOPS on H200 NVL enables inference on trillion-parameter models at speeds unattainable on Pascal hardware. Memory bandwidth of 4800 GB/s on H200 NVL supports massive batch sizes in deep learning, preventing bottlenecks in data loading that limit GTX 1080 Ti's 320 GB/s to small batches under 32 samples. The 141 GB VRAM on H200 NVL loads entire large language models without swapping, unlike the 8-11 GB on GTX 1080 Ti which fragments models across instances. Interconnects like NVLink and PCIe 5.0 on H200 NVL enable multi-GPU scaling, absent in GTX 1080 Ti's basic PCIe.
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 |
H200 NVL
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vultr | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 72 vCPU 480GB RAM 960GB Storage | Atlanta | $1.99/GPU/hr | Available | ||
 Lambda Labs | NVIDIA GH200 Grace Hopper 96GB VRAM | 96GB | 64 vCPU 432GB RAM 4096GB Storage | Virginia | $2.29/GPU/hr | Available | ||
 Nebius | NVIDIA H200 SXM 141GB VRAM | 141GB | 16 vCPU 200GB RAM | 🌍Europe | $2.45/GPU/hr | |||
 CoreWeave | 8×NVIDIA H200 SXM 141GB VRAM | 141GB | 128 vCPU 0GB RAM 61440GB Storage | United States | $2.58/GPU/hr $20.64/hr total (8×) | |||
 Ori | 4×NVIDIA H200 SXM 141GB VRAM | 141GB | 96 vCPU 960GB RAM 12000GB Storage | London | $3.50/GPU/hr $14.00/hr total (4×) | Available |
When to Choose the GTX 1080 Ti
The GTX 1080 Ti excels in budget-conscious scenarios with light workloads. Gaming, video encoding, or small-scale inference fit its 8.9 TFLOPS FP32 and 180W TDP, especially at $0.60 per hour. Legacy software without HBM3e requirements benefits from PCIe form factor compatibility in consumer clouds.
When to Choose the H200 NVL
The H200 NVL dominates AI-heavy tasks requiring scale. Its 141 GB VRAM and 4800 GB/s bandwidth handle large-batch training and inference, with 1979 TFLOPS FP16 ideal for modern LLMs. SXM and NVL form factors with NVLink suit datacenter deployments despite 700W TDP and higher average $2.39 per hour pricing.
Use Cases
H200 NVL's 141 GB HBM3e VRAM and 1979 TFLOPS FP16 support training billion-parameter models in single-GPU setups. GTX 1080 Ti's 8-11 GB GDDR5X limits it to toy models.
3958 TFLOPS FP8 and 4800 GB/s bandwidth on H200 NVL enable high-throughput serving of large models. GTX 1080 Ti's 8.9 TFLOPS FP16 cannot match latency or scale.
H200 NVL's 67 TFLOPS FP32 and NVLink interconnect accelerate parameter-efficient tuning on huge datasets. GTX 1080 Ti bottlenecks at 320 GB/s bandwidth.
GTX 1080 Ti handles 512x512 image generation at 8.9 TFLOPS FP32 for prototyping. H200 NVL scales to high-resolution batches with 141 GB VRAM.
H200 NVL's 1979 TFLOPS FP16 speeds simulations and HPC codes. GTX 1080 Ti's 180W TDP suits only low-scale desktop runs.
Frequently Asked Questions
How much VRAM do GTX 1080 Ti and H200 NVL have?▾
GTX 1080 Ti offers 8-11 GB GDDR5X VRAM. H200 NVL provides 141 GB HBM3e VRAM, allowing 12 times more model capacity without offloading.
What are the cloud prices for these GPUs?▾
GTX 1080 Ti pricing starts from $0.60 per hour average across one offer. H200 NVL starts at $0.50 per hour, averaging $2.39 per hour across four offers.
Which has higher FP16 performance?▾
H200 NVL achieves 1979 TFLOPS FP16, over 222 times the GTX 1080 Ti's 8.9 TFLOPS. This gap favors H200 NVL for AI acceleration.
What is the memory bandwidth difference?▾
GTX 1080 Ti delivers 320 GB/s. H200 NVL reaches 4800 GB/s, enabling 15 times faster data throughput for large batches.
Are these GPUs suitable for multi-GPU setups?▾
GTX 1080 Ti uses PCIe interconnect for basic scaling. H200 NVL supports NVLink, PCIe 5.0, and InfiniBand for efficient datacenter clustering.
What are their TDPs?▾
GTX 1080 Ti has 180W TDP for low-power use. H200 NVL requires 700W, demanding robust cooling in cloud environments.
Which is cheaper to rent, the GTX 1080 or the H200?▾
Cloud rental prices for both the GTX 1080 and H200 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 H200?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The H200 has 141 GB of HBM3e memory.
Can I find GTX 1080 and H200 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 H200?▾
The GTX 1080 uses the Pascal architecture (2016) while the H200 uses Hopper (2024). The H200 delivers 222.4x the FP16 throughput and 15.0x the memory bandwidth of the GTX 1080.