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 H200 SXM vastly outpaces the GTX 1080 Ti in compute throughput: its 1979 TFLOPS FP16 performance dwarfs the GTX 1080 Ti's 8.9 TFLOPS, enabling faster AI training and inference where half-precision dominates. FP32 shows a similar gap, with H200 at 67 TFLOPS versus 8.9 TFLOPS, benefiting general-purpose computing. The FP16 to FP32 ratio on GTX 1080 Ti remains 1:1, suitable for balanced legacy workloads, whereas H200's emphasis on FP16 and FP8 at 3958 TFLOPS accelerates transformer models in deep learning. Memory differences prove critical: H200's 141 GB HBM3e versus 11 GB GDDR5X supports larger models without swapping. Its 4800 GB/s bandwidth, compared to 320 GB/s, permits massive batch sizes in training, reducing iteration times by orders of magnitude. GTX 1080 Ti suits small-scale tasks where such capacity remains unused.
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 SXM
| 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
Opt for the GTX 1080 Ti when budget constraints prioritize cost efficiency at $0.60 per hour. Its 180W TDP consumes far less power than the H200's 700W, ideal for light gaming, basic rendering, or hobbyist machine learning on PCIe systems. Legacy software optimized for Pascal architecture runs natively without Hopper-specific tweaks.
When to Choose the H200 SXM
Select the H200 SXM for demanding AI workloads requiring 141 GB VRAM and 4800 GB/s bandwidth. Its 1979 TFLOPS FP16 excels in LLM training and large-scale inference across NVLink clusters. Datacenter interconnects like PCIe 5.0 and InfiniBand enable multi-GPU scaling unavailable on GTX 1080 Ti.
Use Cases
H200's 141 GB HBM3e VRAM and 1979 TFLOPS FP16 handle massive models and large batches infeasible on GTX 1080 Ti's 11 GB GDDR5X.
H200's 3958 TFLOPS FP8 and 4800 GB/s bandwidth enable high-throughput serving; GTX 1080 Ti's 8.9 TFLOPS limits scale.
H200 supports parameter-efficient fine-tuning on large models with 67 TFLOPS FP32; GTX 1080 Ti restricts to small datasets.
GTX 1080 Ti suffices for basic image generation at 8.9 TFLOPS; H200 accelerates high-resolution batches with superior VRAM.
H200's NVLink and 4800 GB/s bandwidth excel in simulations; GTX 1080 Ti's PCIe limits multi-node efficiency.
Frequently Asked Questions
What is the VRAM difference between GTX 1080 Ti and H200 SXM?▾
GTX 1080 Ti offers 8 to 11 GB GDDR5X, while H200 SXM provides 141 GB HBM3e. This enables H200 to load models over 12 times larger without offloading.
How do FP16 performances compare?▾
GTX 1080 Ti delivers 8.9 TFLOPS FP16, versus H200 SXM's 1979 TFLOPS. H200 processes AI workloads over 222 times faster in half-precision.
What are the cloud pricing ranges?▾
GTX 1080 Ti starts at $0.60 per hour average. H200 SXM begins at $1.19 per hour, averaging $3.71 per hour across 22 offers.
Which has higher memory bandwidth?▾
H200 SXM achieves 4800 GB/s with HBM3e, compared to GTX 1080 Ti's 320 GB/s GDDR5X. This supports 15 times larger batch sizes.
What are the TDP values?▾
GTX 1080 Ti uses 180W TDP in PCIe form. H200 SXM requires 700W in SXM or NVL with advanced interconnects.
When was each architecture released?▾
Pascal for GTX 1080 Ti launched in 2016. Hopper for H200 SXM arrived in 2024, incorporating eight years of AI optimizations.
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.