Najemite GPU NVIDIA Titan Xp na uro
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 na GPU
Arhitektura
Računska zmogljivost
Računska zmogljivost FP32
Pasovna širina pomnilnika
Omejitev moči
Vrednosti, ki jih za trenutno navedene stroje sporoča ponudnik infrastrukture; dejanska zmogljivost se razlikuje glede na stroj.
Razpoložljive konfiguracije
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Za kaj je Titan Xp primeren
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.
Ali je 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.
Primerjajte s podobnimi GPU-ji
| GPU | VRAM na GPU | Arhitektura | Računska zmogljivost FP32 | Od / uro | Podrobnosti |
|---|---|---|---|---|---|
| Titan Xp | 12 GB | Pascal | ≈ 11.7 TFLOPS | — | |
| RTX 3060 | 12 GB | Ampere | ≈ 12 TFLOPS | — | Podrobnosti |
| RTX 3060 laptop | 12 GB | Ampere | ≈ 12.9 TFLOPS | — | Podrobnosti |
| GTX 1080 Ti | 11 GB | Pascal | ≈ 11 TFLOPS | — | Podrobnosti |
Pogosta vprašanja
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.
Najamite Titan Xp po uri
Ustvarite račun, izberite konfiguracijo in se povežite prek SSH. Obračun se ustavi, ko izbrišete GPU.
Najamite Titan Xp