Iznajmite NVIDIA RTX 4090 GPU po satu
The NVIDIA RTX 4090 is a consumer-segment GPU built on the Ada Lovelace architecture, available for rent on ONIE. It features 24 GB of VRAM, about 81.4 TFLOPS of standard floating-point compute, and a memory bandwidth of about 879 GB/s. With CUDA compute capability 8.9 and a 450 W power profile, it handles demanding AI and graphics 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 4090 pogodan
Local LLM Inference
Run quantized large language models using pre-configured vLLM or Ollama templates within the 24 GB VRAM capacity.
Image Generation and Diffusion
Deploy ComfyUI workflows for high-resolution image synthesis powered by Ada Lovelace compute.
Deep Learning Prototyping
Train and fine-tune medium-sized neural networks using the PyTorch/CUDA template with about 879 GB/s of memory bandwidth.
Graphics Rendering and Simulation
Execute ray-traced rendering and physics simulations utilizing about 81.4 TFLOPS of compute performance.
Je li to pravi GPU za vas?
Choose the RTX 4090 when your workloads need strong Ada Lovelace compute and fit comfortably inside 24 GB of memory. Opt for a smaller consumer GPU for lightweight inference to reduce costs, or step up to a workstation or datacenter GPU when training models that require more than 24 GB of VRAM.
Usporedite sa sličnim GPU-ovima
| GPU | VRAM po GPU-u | Arhitektura | FP32 računanje | Od / sat | Pojedinosti |
|---|---|---|---|---|---|
| RTX 4090 | 24 GB | Ada Lovelace | ≈ 81.4 TFLOPS | — | |
| RTX 6000Ada | 48 GB | Ada Lovelace | ≈ 81.4 TFLOPS | — | Pojedinosti |
| RTX 5090 | 32 GB | Blackwell | ≈ 107.6 TFLOPS | — | Pojedinosti |
| RTX 5090D | 32 GB | Blackwell | ≈ 107.6 TFLOPS | — | Pojedinosti |
Često postavljana pitanja
Is the RTX 4090 suitable for LLM inference and fine-tuning?
Yes, the 24 GB of VRAM and about 879 GB/s of memory bandwidth make it well-suited for serving small to medium language models and running parameter-efficient fine-tuning. If your model weights and context window exceed 24 GB, you will need a workstation or datacenter GPU with a larger memory capacity.
How do I connect to the RTX 4090 instance and what software is included?
You can connect directly to your instance via SSH access. ONIE provides ready templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI so you can start working with CUDA compute capability 8.9 right away.
How does the RTX 4090 compare to workstation or datacenter GPUs?
As a consumer-segment card with a 450 W thermal design power, the RTX 4090 delivers high compute density at about 81.4 TFLOPS. However, it caps at 24 GB of VRAM, whereas higher-tier workstation and datacenter GPUs offer larger memory pools for massive datasets.
How does billing work for renting the RTX 4090?
ONIE uses per-hour billing for all GPU rentals. You only pay for the time your instance is active.
Iznajmite RTX 4090 po satu
Stvorite račun, odaberite konfiguraciju i povežite se putem SSH-a. Naplata prestaje kada izbrišete GPU.
Iznajmi RTX 4090