Iznajmite NVIDIA RTX 2080 Ti GPU po satu
The NVIDIA RTX 2080 Ti is a Turing-architecture consumer GPU available for on-demand rental on ONIE. It pairs 11 GB of VRAM with about 501 GB/s of memory bandwidth and about 14.6 TFLOPS of single-precision compute. With a 250 W TDP and compute capability 7.5, it handles light machine learning, inference, and graphics workloads with per-hour billing.
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 RTX 2080 Ti pogodan
Quantized LLM Inference
Run compact or quantized language models that fit within 11 GB of VRAM using ready Ollama or vLLM templates.
Image Generation Workflows
Deploy ComfyUI to generate images and test diffusion pipelines that operate comfortably inside an 11 GB memory footprint.
Deep Learning Prototyping
Write, debug, and test PyTorch and CUDA code on a Turing GPU with compute capability 7.5 before scaling to larger hardware.
Batch Data Processing
Use about 14.6 TFLOPS of single-precision performance and about 501 GB/s of memory bandwidth for GPU-accelerated data pipelines and rendering.
Je li to pravi GPU za vas?
Pick the RTX 2080 Ti for development, inference on smaller models, and moderate training tasks that fit within 11 GB of VRAM. Choose a GPU with more memory and newer architecture for large-scale training or unquantized models, or step down to a smaller consumer card for basic debugging.
Usporedite sa sličnim GPU-ovima
| GPU | VRAM po GPU-u | Arhitektura | FP32 računanje | Od / sat | Pojedinosti |
|---|---|---|---|---|---|
| RTX 2080 Ti | 11 GB | Turing | ≈ 14.6 TFLOPS | — | |
| RTX 3060 laptop | 12 GB | Ampere | ≈ 12.9 TFLOPS | — | Pojedinosti |
| RTX 3060 | 12 GB | Ampere | ≈ 12 TFLOPS | — | Pojedinosti |
| RTX 3060 Ti | 8 GB | Ampere | ≈ 15.7 TFLOPS | — | Pojedinosti |
Često postavljana pitanja
Is the RTX 2080 Ti suitable for LLM inference and image generation?
Yes, its 11 GB of VRAM and about 501 GB/s of memory bandwidth can run compact or quantized language models and standard diffusion models. For larger models that exceed 11 GB or require features from newer architectures beyond compute capability 7.5, consider renting a higher-memory GPU.
What software environments are available when I rent this GPU?
You get full SSH access to your instance and can launch ready templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI. The card supports CUDA workloads compatible with compute capability 7.5.
How does the RTX 2080 Ti compare to newer or larger GPUs?
As a Turing-generation consumer card with 11 GB of VRAM and about 14.6 TFLOPS of single-precision compute, it offers more memory than entry-level consumer GPUs. However, workstation or datacenter GPUs from newer generations provide more VRAM and higher memory bandwidth for heavy training jobs.
How does billing work for RTX 2080 Ti instances on ONIE?
Instances on ONIE use per-hour billing, so you only pay for the time your GPU server is active.
Iznajmite RTX 2080 Ti po satu
Stvorite račun, odaberite konfiguraciju i povežite se putem SSH-a. Naplata prestaje kada izbrišete GPU.
Iznajmi RTX 2080 Ti