GPU Cloud · NVIDIA · Ada Lovelace

Prenájom GPU NVIDIA RTX 4080S po hodinách

The NVIDIA RTX 4080S is a consumer-segment GPU built on the Ada Lovelace architecture, offering 16 GB of VRAM and compute capability 8.9. In ONIE instances, it delivers about 50.9 TFLOPS of standard floating-point performance and about 600 GB/s of memory bandwidth within a 320 W power envelope. You can deploy it with per-hour billing, full SSH access, and pre-configured templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.

Špecifikácie

VRAM na jedno GPU

16 GB

Architektúra

NVIDIA Ada Lovelace

Výpočtová schopnosť

8.9

Výpočtový výkon FP32

≈ 50.9 TFLOPS

Šírka pásma pamäte

≈ 600 GB/s

Limit príkonu

320 W

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 4080S hodí

Quantized LLM Inference

Run small to medium language models using vLLM or Ollama templates within the 16 GB VRAM budget and about 600 GB/s of memory bandwidth.

Diffusion Image Generation

Execute ComfyUI workflows and image synthesis pipelines using the Ada Lovelace architecture and about 50.9 TFLOPS of compute.

PyTorch Model Prototyping

Develop, test, and debug deep learning code on compute capability 8.9 hardware before scaling up to workstation or datacenter GPUs.

LoRA Fine-Tuning

Perform parameter-efficient fine-tuning on compact models and datasets that comfortably fit inside 16 GB of memory.

Je to pre vás správne GPU?

Pick the RTX 4080S when your workload needs modern Ada Lovelace support and fits within a 16 GB consumer memory footprint. Choose a smaller GPU for lightweight testing that requires less memory, or step up to a larger consumer, workstation, or datacenter card when unquantized models or large batch sizes exceed 16 GB of VRAM.

Porovnajte s podobnými GPU

GPUVRAM na jedno GPUArchitektúraVýpočtový výkon FP32Od / hodinaPodrobnosti
RTX 4080S16 GBAda Lovelace≈ 50.9 TFLOPS—
RTX 408016 GBAda Lovelace≈ 48.6 TFLOPS—Podrobnosti
RTX 508016 GBBlackwell≈ 53.4 TFLOPS—Podrobnosti
RTX 5070 Ti16 GBBlackwell≈ 44.3 TFLOPS—Podrobnosti

Často kladené otázky

Is the RTX 4080S suitable for LLM inference and fine-tuning?

With 16 GB of VRAM and about 600 GB/s of memory bandwidth, it handles inference on small or quantized models and parameter-efficient fine-tuning like LoRA. Full fine-tuning of larger models will require a GPU with a higher memory capacity.

How does the RTX 4080S compare to adjacent GPU tiers?

As a 16 GB Ada Lovelace consumer card delivering about 50.9 TFLOPS within a 320 W TDP, it sits above entry-level consumer GPUs with smaller memory buffers. It has less VRAM and memory bandwidth than high-end consumer models or workstation and datacenter GPUs designed for heavier workloads.

What software templates and connection methods are supported on ONIE?

Instances include direct SSH access and ready-to-use templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI. The card supports software targeting CUDA compute capability 8.9.

How does billing work for an RTX 4080S rental?

ONIE uses per-hour billing for RTX 4080S instances, so you only pay for the time your instance is active.

Prenajmite si RTX 4080S na hodiny

Vytvorte si účet, vyberte konfiguráciu a pripojte sa cez SSH. Fakturácia sa zastaví, keď GPU vymažete.

Prenajať RTX 4080S

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