GPU Cloud · NVIDIA · Turing

Închiriați GPU NVIDIA RTX 2080 Ti pe oră

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.

Specificații

VRAM per GPU

11 GB

Arhitectură

NVIDIA Turing

Capacitate de calcul

7.5

Calcul FP32

≈ 14.6 TFLOPS

Lățime de bandă a memoriei

≈ 501 GB/s

Limită de putere

250 W

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Configurații disponibile

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Pentru ce este potrivit RTX 2080 Ti

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.

Este GPU-ul potrivit pentru dumneavoastră?

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.

Comparați cu GPU-uri similare

GPUVRAM per GPUArhitecturăCalcul FP32De la / orăDetalii
RTX 2080 Ti11 GBTuring≈ 14.6 TFLOPS—
RTX 3060 laptop12 GBAmpere≈ 12.9 TFLOPS—Detalii
RTX 306012 GBAmpere≈ 12 TFLOPS—Detalii
RTX 3060 Ti8 GBAmpere≈ 15.7 TFLOPS—Detalii

Întrebări frecvente

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.

Închiriați RTX 2080 Ti pe oră

Creați un cont, alegeți o configurație și conectați-vă prin SSH. Facturarea se oprește când ștergeți GPU-ul.

Închiriați RTX 2080 Ti

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