GPU Cloud · NVIDIA · Pascal

Închiriați GPU NVIDIA Titan Xp pe oră

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.

Specificații

VRAM per GPU

12 GB

Arhitectură

NVIDIA Pascal

Capacitate de calcul

6.1

Calcul FP32

≈ 11.7 TFLOPS

Lățime de bandă a memoriei

≈ 410 GB/s

Limită de putere

160 W

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Configurații disponibile

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Pentru ce este potrivit Titan Xp

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.

Este GPU-ul potrivit pentru dumneavoastră?

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.

Comparați cu GPU-uri similare

GPUVRAM per GPUArhitecturăCalcul FP32De la / orăDetalii
Titan Xp12 GBPascal≈ 11.7 TFLOPS—
RTX 306012 GBAmpere≈ 12 TFLOPS—Detalii
RTX 3060 laptop12 GBAmpere≈ 12.9 TFLOPS—Detalii
GTX 1080 Ti11 GBPascal≈ 11 TFLOPS—Detalii

Întrebări frecvente

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.

Închiriați Titan Xp pe oră

Creați un cont, alegeți o configurație și conectați-vă prin SSH. Facturarea se oprește când ștergeți GPU-ul.

Închiriați Titan Xp

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