Iznajmite NVIDIA RTX 5090 GPU po satu
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.
Specifikacije
VRAM po GPU-u
Arhitektura
Računalna sposobnost
FP32 računanje
Propusnost memorije
Ograničenje snage
Vrijednosti koje je navela infrastrukturna platforma za trenutno navedene strojeve; stvarne performanse razlikuju se ovisno o stroju.
Dostupne konfiguracije
Zalihe i cijene u stvarnom vremenu, neprekidno ažurirane. Konačnu cijenu potvrđujemo prije narudžbe.
Učitavanje cijena u stvarnom vremenu…
Za što je RTX 5090 pogodan
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.
Je li to pravi GPU za vas?
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.
Usporedite sa sličnim GPU-ovima
| GPU | VRAM po GPU-u | Arhitektura | FP32 računanje | Od / sat | Pojedinosti |
|---|---|---|---|---|---|
| RTX 5090 | 32 GB | Blackwell | ≈ 107.6 TFLOPS | — | |
| RTX 5090D | 32 GB | Blackwell | ≈ 107.6 TFLOPS | — | Pojedinosti |
| RTX 4090 | 24 GB | Ada Lovelace | ≈ 81.4 TFLOPS | — | Pojedinosti |
| RTX 6000Ada | 48 GB | Ada Lovelace | ≈ 81.4 TFLOPS | — | Pojedinosti |
Često postavljana pitanja
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.
Iznajmite RTX 5090 po satu
Stvorite račun, odaberite konfiguraciju i povežite se putem SSH-a. Naplata prestaje kada izbrišete GPU.
Iznajmi RTX 5090