Iznajmite NVIDIA Titan Xp GPU po satu
The NVIDIA Titan Xp is a Pascal-architecture consumer GPU equipped with 12 GB of VRAM and a 160 W TDP. On ONIE, this card delivers about 11.7 TFLOPS of single-precision compute and about 410 GB/s of memory bandwidth. It supports compute capability 6.1 and is available with per-hour billing, SSH access, and ready templates.
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 Titan Xp pogodan
PyTorch Development and Prototyping
Use the PyTorch/CUDA template to write, test, and debug machine learning code within the 12 GB memory limit.
Compact Language Model Inference
Run small language models that fit into 12 GB of VRAM using pre-configured Ollama or vLLM templates.
Standard Image Generation Workflows
Deploy ComfyUI for basic diffusion pipelines and image synthesis tasks that do not exceed 12 GB of memory.
General CUDA Compute Tasks
Execute custom single-precision compute workloads that are compatible with the Pascal architecture and compute capability 6.1.
Je li to pravi GPU za vas?
Choose the Titan Xp for budget-conscious development, legacy CUDA compatibility testing, or lightweight inference tasks requiring up to 12 GB of VRAM. Opt for a newer or larger GPU if your workload requires modern tensor cores or more memory capacity, or pick a smaller consumer card for minimal display and compute scripts.
Usporedite sa sličnim GPU-ovima
| GPU | VRAM po GPU-u | Arhitektura | FP32 računanje | Od / sat | Pojedinosti |
|---|---|---|---|---|---|
| Titan Xp | 12 GB | Pascal | ≈ 11.7 TFLOPS | — | |
| RTX 3060 | 12 GB | Ampere | ≈ 12 TFLOPS | — | Pojedinosti |
| RTX 3060 laptop | 12 GB | Ampere | ≈ 12.9 TFLOPS | — | Pojedinosti |
| GTX 1080 Ti | 11 GB | Pascal | ≈ 11 TFLOPS | — | Pojedinosti |
Često postavljana pitanja
Is the NVIDIA Titan Xp suitable for LLM inference and fine-tuning?
With 12 GB of VRAM and the Pascal architecture, it can handle inference for compact models using Ollama or vLLM. For larger models or modern fine-tuning workflows that depend on newer compute capabilities, a GPU with more memory and a newer architecture is recommended.
What are the compute and memory specifications of this instance?
This consumer GPU features 12 GB of VRAM, a 160 W power envelope, and compute capability 6.1. Infrastructure provider measurements report about 11.7 TFLOPS of single-precision performance and about 410 GB/s of memory bandwidth.
How do I connect to the instance and what software is available?
You can connect directly to your instance via SSH access. ONIE also provides ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI to help you start your workload quickly.
How does billing work for the Titan Xp on ONIE?
Instances are billed on a per-hour basis. You only pay for the hours your GPU instance remains active.
Iznajmite Titan Xp po satu
Stvorite račun, odaberite konfiguraciju i povežite se putem SSH-a. Naplata prestaje kada izbrišete GPU.
Iznajmi Titan Xp