Iznajmite NVIDIA GTX 1080 Ti GPU po satu
The NVIDIA GTX 1080 Ti is a consumer GPU built on the Pascal architecture with 11 GB of VRAM. It delivers about 11.0 TFLOPS of single-precision performance and about 339 GB/s of memory bandwidth within a 250 W power envelope. You can rent this GPU on ONIE with per-hour billing, SSH access, and ready-to-use software templates.
Specifikacije
VRAM po GPU-u
Arhitektura
Računalna sposobnost
FP32 računanje
Propusnost memorije
Ograničenje snage
Vrijednosti koje je navela infrastrukturna platforma za trenutno navedene strojeve; stvarne performanse razlikuju se ovisno o stroju.
Dostupne konfiguracije
Zalihe i cijene u stvarnom vremenu, neprekidno ažurirane. Konačnu cijenu potvrđujemo prije narudžbe.
Učitavanje cijena u stvarnom vremenu…
Za što je GTX 1080 Ti pogodan
Prototyping and Code Testing
Test and debug PyTorch/CUDA scripts on a Pascal architecture card with compute capability 6.1.
Lightweight Model Inference
Run small language models through Ollama or vLLM templates that fit inside the 11 GB memory limit.
Standard Image Generation
Use the ComfyUI template to run basic image synthesis pipelines that do not require modern tensor cores.
Classic Deep Learning Training
Train foundational neural networks and computer vision models using about 11.0 TFLOPS of single-precision compute.
Je li to pravi GPU za vas?
Choose the GTX 1080 Ti when you need 11 GB of VRAM for legacy workloads, code testing, or small-scale inference on a Pascal-generation consumer card. Select a newer GPU with more memory for large models or modern mixed-precision workloads, or a smaller consumer GPU if your task requires minimal VRAM.
Usporedite sa sličnim GPU-ovima
| GPU | VRAM po GPU-u | Arhitektura | FP32 računanje | Od / sat | Pojedinosti |
|---|---|---|---|---|---|
| GTX 1080 Ti | 11 GB | Pascal | ≈ 11 TFLOPS | — | |
| Titan Xp | 12 GB | Pascal | ≈ 11.7 TFLOPS | — | Pojedinosti |
| RTX 3060 | 12 GB | Ampere | ≈ 12 TFLOPS | — | Pojedinosti |
| RTX 3060 laptop | 12 GB | Ampere | ≈ 12.9 TFLOPS | — | Pojedinosti |
Često postavljana pitanja
Is the GTX 1080 Ti suitable for modern LLM inference and fine-tuning?
With 11 GB of VRAM and Pascal architecture at compute capability 6.1, it can run quantized small language models using templates like Ollama. For larger models or workloads that rely on newer architecture features, a more modern GPU with higher VRAM is recommended.
What software templates are available on ONIE for this GPU?
ONIE provides ready templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI. You also get full SSH access to configure your own environment.
How are performance and memory bandwidth measured for this card?
The infrastructure provider reports about 11.0 TFLOPS of single-precision compute and measures memory bandwidth at about 339 GB/s. The card operates at a 250 W thermal design power.
How does billing work when renting the GTX 1080 Ti?
Rentals on ONIE use per-hour billing, allowing you to pay only for the time your instance is active.
Iznajmite GTX 1080 Ti po satu
Stvorite račun, odaberite konfiguraciju i povežite se putem SSH-a. Naplata prestaje kada izbrišete GPU.
Iznajmi GTX 1080 Ti