Īrējiet NVIDIA RTX 4080S GPU pa stundām
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.
Specifikācijas
VRAM katram GPU
Arhitektūra
Skaitļošanas spēja
FP32 skaitļošana
Atmiņas joslas platums
Jaudas ierobežojums
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Pieejamās konfigurācijas
Aktuālie krājumi un cenas, kas tiek atjaunotas nepārtraukti. Galīgā cena tiek apstiprināta pirms pasūtīšanas.
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Kam ir piemērots RTX 4080S
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.
Vai tas ir piemērots GPU Jums?
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.
Salīdzināt ar līdzīgiem GPU
Biežāk uzdotie jautājumi
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.
Nomājiet RTX 4080S pa stundām
Izveidojiet kontu, izvēlieties konfigurāciju un pieslēdzieties caur SSH. Norēķini tiek pārtraukti, kad dzēšat GPU.
Nomāt RTX 4080S