Nuomokite NVIDIA RTX 5090 GPU per valandą
The NVIDIA RTX 5090 is a Blackwell architecture consumer GPU available for on-demand rental at ONIE. It provides 32 GB of VRAM, about 1454 GB/s of memory bandwidth, and about 107.6 TFLOPS of FP32 compute performance. With CUDA compute capability 12.0 and a 575 W TDP, it is built for demanding compute and AI workloads.
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 5090
Local LLM Inference
Run language models using vLLM or Ollama templates, utilizing the 32 GB of VRAM and about 1454 GB/s of memory bandwidth for fast token generation.
Image and Video Generation
Deploy ComfyUI workflows for complex diffusion pipelines that fit comfortably within the 32 GB memory capacity.
Model Fine-Tuning and Training
Use the PyTorch/CUDA template to fine-tune neural networks with about 107.6 TFLOPS of FP32 compute and CUDA compute capability 12.0.
GPU-Accelerated Rendering
Execute intensive rendering and simulation tasks that benefit from the Blackwell architecture and high memory throughput.
Ar tai tinkamas GPU jums?
Choose the RTX 5090 when your workloads require 32 GB of VRAM and the high memory bandwidth of the Blackwell consumer architecture. If your models exceed 32 GB of memory, consider a larger workstation or datacenter GPU, whereas smaller consumer GPUs are more appropriate for lightweight inference and basic development.
Palyginti su panašiais GPU
Dažniausiai užduodami klausimai
Is the RTX 5090 suitable for LLM inference and fine-tuning?
Yes, the 32 GB of VRAM and about 1454 GB/s of memory bandwidth make it well-suited for serving and fine-tuning moderate-sized language models. You can start quickly on ONIE using ready templates for vLLM, Ollama, or PyTorch/CUDA.
How does the RTX 5090 compare to smaller consumer GPUs or larger datacenter GPUs?
With 32 GB of VRAM and CUDA compute capability 12.0, the RTX 5090 offers more memory capacity and bandwidth than previous consumer models. However, if your workload requires more than 32 GB of VRAM on a single card, you should select a workstation or datacenter GPU.
How do I connect to my RTX 5090 instance and what software is pre-installed?
You can connect directly to your instance via SSH access. ONIE provides ready templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI so you can begin working immediately.
How does billing work for renting the RTX 5090 on ONIE?
Instances are billed on a per-hour basis for the duration your GPU remains active.
Nuomokite RTX 5090 valandomis
Sukurkite paskyrą, pasirinkite konfigūraciją ir prisijunkite per SSH. Mokėjimas nutraukiamas, kai ištrinate GPU.
Nuomoti RTX 5090