Prenájom GPU NVIDIA RTX 2080 Ti po hodinách
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.
Špecifikácie
VRAM na jedno GPU
Architektúra
Výpočtová schopnosť
Výpočtový výkon FP32
Šírka pásma pamäte
Limit príkonu
Hodnoty uvádza poskytovateľ infraštruktúry pre aktuálne ponúkané stroje; skutočný výkon sa môže podľa stroja líšiť.
Dostupné konfigurácie
Aktuálna dostupnosť a ceny, priebežne aktualizované. Konečná cena sa potvrdí pred objednávkou.
Načítavajú sa aktuálne ceny…
Na čo sa RTX 2080 Ti hodí
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 to pre vás správne GPU?
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.
Porovnajte s podobnými GPU
| GPU | VRAM na jedno GPU | Architektúra | Výpočtový výkon FP32 | Od / hodina | Podrobnosti |
|---|---|---|---|---|---|
| RTX 2080 Ti | 11 GB | Turing | ≈ 14.6 TFLOPS | — | |
| RTX 3060 laptop | 12 GB | Ampere | ≈ 12.9 TFLOPS | — | Podrobnosti |
| RTX 3060 | 12 GB | Ampere | ≈ 12 TFLOPS | — | Podrobnosti |
| RTX 3060 Ti | 8 GB | Ampere | ≈ 15.7 TFLOPS | — | Podrobnosti |
Často kladené otázky
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.
Prenajmite si RTX 2080 Ti na hodiny
Vytvorte si účet, vyberte konfiguráciu a pripojte sa cez SSH. Fakturácia sa zastaví, keď GPU vymažete.
Prenajať RTX 2080 Ti