Specifications Compared
| Spec | GTX-1080 | T4 |
|---|---|---|
| TDP | 180W | 70W |
| VRAM | 8-11 GB | 16 GB |
| CUDA Cores | 2,560 | 2,560 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 8.1 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 8.1 TFLOPS |
| Memory Bandwidth | 320 GB/s | 320 GB/s |
Performance Analysis
Peak compute favors the GTX 1080 Ti: 8.9 TFLOPS in FP16 and FP32 outpaces the T4's 8.1 TFLOPS by 9.9 percent. This advantage accelerates FP32-dominant training loops or inference without specialized cores, processing more operations per second in general-purpose shaders.
Memory bandwidth matches at 320 GB/s on both, supporting equivalent data throughput for batch sizes constrained by VRAM. The T4's 16 GB capacity versus 8-11 GB on the GTX 1080 Ti permits larger models or batches in inference, reducing data transfers and latency for memory-bound tasks.
Efficiency gap is stark: T4 draws 70 W against 180 W TDP. Lower power yields higher GPU density per server, cutting cloud costs for prolonged runs and easing cooling in multi-GPU inference farms.
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 |
Tesla T4
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 4 vCPU 16GB RAM | Virginia | $0.53/GPU/hr | |||
AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 8 vCPU 32GB RAM | Virginia | $0.75/GPU/hr | |||
AWS | 4×NVIDIA Tesla T4 16GB VRAM | 16GB | 48 vCPU 192GB RAM | Virginia | $0.98/GPU/hr $3.91/hr total (4×) | |||
AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 16 vCPU 64GB RAM | Virginia | $1.20/GPU/hr | |||
AWS | NVIDIA Tesla T4 16GB VRAM | 16GB | 32 vCPU 128GB RAM | Virginia | $2.18/GPU/hr |
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When to Choose the GTX 1080 Ti
Select the GTX 1080 Ti for workloads leveraging its 8.9 TFLOPS FP32 performance. Tasks like Stable Diffusion generation or scientific simulations fitting in 8-11 GB VRAM benefit from 9.9 percent higher throughput than the T4. At $0.60 per hour average, it delivers value where compute trumps memory and a 180 W TDP fits budgets.
When to Choose the Tesla T4
The Tesla T4 excels in memory-demanding scenarios with 16 GB GDDR6 VRAM. Large-model inference or fine-tuning gains from expanded capacity alongside 320 GB/s bandwidth. Its 70 W TDP and $0.53 per hour starting price optimize dense deployments and long-running cloud jobs.
Use Cases
T4's 16 GB VRAM supports larger datasets and models during training phases. The 70 W TDP enables denser multi-GPU configurations versus the GTX 1080 Ti's 180 W.
T4 optimizes inference with 16 GB VRAM for high-batch throughput on extensive models. Lower 70 W power suits 24/7 server loads compared to 180 W.
Both deliver similar FP32 around 8 TFLOPS; GTX 1080 Ti at 8.9 suits smaller models, T4's 16 GB handles larger ones.
GTX 1080 Ti's 8.9 TFLOPS FP16 outperforms T4's 8.1 TFLOPS for image generation speed. 8-11 GB VRAM suffices for typical diffusion pipelines.
Higher 8.9 TFLOPS FP32 on GTX 1080 Ti accelerates simulations. 320 GB/s bandwidth matches T4 but pairs with compute lead for FP-heavy codes.
Frequently Asked Questions
Which GPU has more VRAM?▾
The T4 features 16 GB GDDR6 VRAM, surpassing the GTX 1080 Ti's 8-11 GB GDDR5X. This allows the T4 to manage larger models without out-of-memory errors. Batch sizes increase accordingly on Turing.
What are the FP32 performance differences?▾
GTX 1080 Ti delivers 8.9 TFLOPS FP32, exceeding T4's 8.1 TFLOPS by 9.9 percent. This impacts training speed for scalar workloads. Both share 320 GB/s bandwidth.
Which has lower power consumption?▾
T4 operates at 70 W TDP, far below GTX 1080 Ti's 180 W. Lower power reduces electricity and cooling costs in cloud. It supports more GPUs per rack.
What are the current cloud prices?▾
GTX 1080 Ti starts at $0.60 per hour average across one offer. T4 begins at $0.53 per hour, averaging $1.66 across six offers. Prices vary by provider density.
Which architecture is newer?▾
T4 uses Turing from 2018, postdating Pascal 2016 of GTX 1080 Ti. Turing adds AI optimizations despite similar 8.1 TFLOPS base. Pascal emphasizes raw rasterization.
Is T4 better for inference?▾
Yes, T4's 16 GB VRAM and 70 W TDP optimize sustained inference. It handles larger batches at 320 GB/s versus GTX 1080 Ti's memory limit. Datacenter design enhances reliability.
Which is cheaper to rent, the GTX 1080 or the T4?▾
Cloud rental prices for both the GTX 1080 and T4 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 T4?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The T4 has 16 GB of GDDR6 memory.
Can I find GTX 1080 and T4 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 T4?▾
The GTX 1080 uses the Pascal architecture (2016) while the T4 uses Turing (2018). The GTX 1080 delivers 1.1x the FP16 throughput and 1.0x the memory bandwidth of the T4.