Iznajmite NVIDIA RTX PRO 4000 GPU po satu
The NVIDIA RTX PRO 4000 is a Blackwell-architecture workstation GPU available on ONIE with 24 GB of VRAM and CUDA compute capability 12.0. It delivers about 44.3 TFLOPS of single-precision compute and about 529 GB/s of memory bandwidth while operating at a 145 W TDP. You can deploy it with per-hour billing, full SSH access, and ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
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 PRO 4000 pogodan
Local LLM Inference
Run quantized or medium-sized language models using Ollama or vLLM within the 24 GB memory capacity.
Generative Media Workflows
Execute image and video generation pipelines in ComfyUI without hitting memory limits common on smaller cards.
Model Prototyping and Tuning
Develop and fine-tune deep learning models in PyTorch/CUDA while taking advantage of Blackwell compute capability 12.0.
Workstation Rendering and Compute
Handle professional graphics, simulation, and rendering workloads that benefit from workstation drivers and about 529 GB/s of memory bandwidth.
Je li to pravi GPU za vas?
Choose the RTX PRO 4000 if you need a modern Blackwell workstation card with 24 GB of VRAM for development, rendering, or moderate AI workloads. Opt for a smaller GPU for lightweight inference and basic testing, or move to a larger datacenter GPU if your training pipelines require more memory capacity or higher memory bandwidth.
Usporedite sa sličnim GPU-ovima
| GPU | VRAM po GPU-u | Arhitektura | FP32 računanje | Od / sat | Pojedinosti |
|---|---|---|---|---|---|
| RTX PRO 4000 | 24 GB | Blackwell | ≈ 44.3 TFLOPS | — | |
| RTX 4500Ada | 24 GB | Ada Lovelace | ≈ 38.2 TFLOPS | — | Pojedinosti |
| RTX 3090 Ti | 24 GB | Ampere | ≈ 36.4 TFLOPS | — | Pojedinosti |
| RTX 3090 | 24 GB | Ampere | ≈ 35.4 TFLOPS | — | Pojedinosti |
Često postavljana pitanja
Is the RTX PRO 4000 suitable for LLM inference and fine-tuning?
Yes, its 24 GB of VRAM and about 529 GB/s of memory bandwidth make it capable of running inference and LoRA fine-tuning on small to medium-sized language models. For full-parameter training of large models, a GPU with more VRAM is recommended.
What software templates are available for this GPU on ONIE?
You can launch the RTX PRO 4000 with pre-configured templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI. Full SSH access is included so you can customize your environment and install additional dependencies.
How does this Blackwell workstation GPU compare to smaller or larger options?
With CUDA compute capability 12.0, 24 GB of VRAM, and about 44.3 TFLOPS of single-precision compute at 145 W, it offers modern architecture support and more memory than entry-level cards. Larger workstation or datacenter GPUs provide higher memory capacity and bandwidth for heavier parallel workloads.
How does billing work for the RTX PRO 4000?
Instances on ONIE use per-hour billing, allowing you to pay only for the time your workstation GPU is active.
Iznajmite RTX PRO 4000 po satu
Stvorite račun, odaberite konfiguraciju i povežite se putem SSH-a. Naplata prestaje kada izbrišete GPU.
Iznajmi RTX PRO 4000