Nuomokite NVIDIA RTX 4070S GPU per valandą
The NVIDIA RTX 4070S is a consumer-segment GPU built on the Ada Lovelace architecture with CUDA compute capability 8.9. Available to rent on ONIE, it equips your environment with 12 GB of VRAM, about 35.8 TFLOPS of standard floating-point compute, and a memory bandwidth of about 411 GB/s. Operating at a 220 W TDP, this card handles mid-sized generative AI and development tasks with per-hour billing and full SSH access.
Specifikacijos
VRAM kiekvienam GPU
Architektūra
Compute capability
FP32 skaičiavimas
Atminties pralaidumas
Galios riba
Infrastruktūros teikėjo pateiktos reikšmės dabar siūlomoms mašinoms; tikrasis našumas skiriasi priklausomai nuo mašinos.
Turimos konfigūracijos
Aktualus prieinamumas ir kainos, atnaujinami nuolat. Galutinę kainą patvirtinsite prieš užsakymą.
Įkeliamos aktualios kainos…
Kam tinka RTX 4070S
Quantized LLM Inference
Run compact or quantized language models within the 12 GB VRAM allocation using pre-configured Ollama or vLLM templates.
Diffusion Image Generation
Generate and iterate on visual assets with ComfyUI, utilizing the Ada Lovelace architecture and about 35.8 TFLOPS of compute.
PyTorch Model Prototyping
Develop, test, and debug deep learning code using the ready PyTorch/CUDA template on hardware supporting compute capability 8.9.
Fine-Tuning Small Models
Execute parameter-efficient fine-tuning jobs and lightweight training runs that fit comfortably inside a 12 GB memory ceiling.
Ar tai tinkamas GPU jums?
Choose the RTX 4070S when your workloads require modern Ada Lovelace features and compute capability 8.9 within a 12 GB memory envelope. Opt for a smaller GPU for basic scripts and very light inference, or step up to a larger workstation or datacenter GPU if your models exceed 12 GB of VRAM or require higher than about 411 GB/s of memory bandwidth.
Palyginti su panašiais GPU
Dažniausiai užduodami klausimai
Is the RTX 4070S suitable for LLM inference and image generation?
Yes, the 12 GB of VRAM and about 411 GB/s of memory bandwidth handle compact or quantized language models and standard diffusion workflows well. You can deploy these workloads directly on ONIE using ready templates for Ollama, vLLM, and ComfyUI.
How does this GPU compare to larger or smaller options?
As a 12 GB consumer-segment card, the RTX 4070S offers more memory headroom and compute than entry-level GPUs while maintaining a modest 220 W TDP. However, if you are training large networks or running unquantized models that exceed 12 GB, you should select a higher-tier consumer or workstation GPU with a larger memory capacity.
What software templates and access methods are included?
Every instance on ONIE includes direct SSH access so you can manage your environment from your terminal. You can also launch instances with pre-configured templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
How does billing work for the RTX 4070S on ONIE?
Instances are billed on a per-hour basis, allowing you to pay only for the time your GPU is active. You can spin up an environment for a short prototyping session and terminate it when your job finishes.
Nuomokite RTX 4070S valandomis
Sukurkite paskyrą, pasirinkite konfigūraciją ir prisijunkite per SSH. Mokėjimas nutraukiamas, kai ištrinate GPU.
Nuomoti RTX 4070S