Najemite GPU NVIDIA RTX 5070 Ti na uro
The NVIDIA RTX 5070 Ti is a consumer GPU built on the Blackwell architecture with 16 GB of VRAM and compute capability 12.0. On ONIE, it delivers about 44.3 TFLOPS of standard floating-point compute and about 734 GB/s of memory bandwidth within a 300 W power envelope. You can deploy it with per-hour billing, full SSH access, and pre-configured templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
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 RTX 5070 Ti primeren
Quantized LLM Inference
Run small and medium language models via Ollama or vLLM using the 16 GB VRAM capacity and about 734 GB/s memory bandwidth.
Generative Image Workflows
Generate images and test diffusion pipelines in ComfyUI on a Blackwell consumer GPU with about 44.3 TFLOPS of compute.
Parameter-Efficient Fine-Tuning
Train LoRA adapters and fine-tune compact neural networks in PyTorch/CUDA while staying within the 16 GB memory limit.
Blackwell Architecture Prototyping
Develop, compile, and test GPU kernels targeting compute capability 12.0 before scaling to larger hardware.
Ali je to pravi GPU za vas?
Choose the RTX 5070 Ti if you need a Blackwell GPU with 16 GB of VRAM for inference, image generation, or code prototyping. Opt for a GPU with more VRAM if your models or batch sizes exceed 16 GB, or a smaller consumer GPU for lightweight debugging and basic tasks.
Primerjajte s podobnimi GPU-ji
| GPU | VRAM na GPU | Arhitektura | Računska zmogljivost FP32 | Od / uro | Podrobnosti |
|---|---|---|---|---|---|
| RTX 5070 Ti | 16 GB | Blackwell | ≈ 44.3 TFLOPS | — | |
| RTX 4070S Ti | 16 GB | Ada Lovelace | ≈ 42.6 TFLOPS | — | Podrobnosti |
| RTX 4080 | 16 GB | Ada Lovelace | ≈ 48.6 TFLOPS | — | Podrobnosti |
| RTX 4080S | 16 GB | Ada Lovelace | ≈ 50.9 TFLOPS | — | Podrobnosti |
Pogosta vprašanja
Is the RTX 5070 Ti suitable for LLM inference and fine-tuning?
With 16 GB of VRAM and about 734 GB/s of memory bandwidth, it handles inference for compact or quantized models and parameter-efficient fine-tuning such as LoRA. Full fine-tuning of larger models will require a GPU with a higher VRAM capacity.
What software templates are available on ONIE for this GPU?
You can launch the RTX 5070 Ti using ready templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI. Full SSH access is also provided so you can customize your environment for compute capability 12.0.
How does the RTX 5070 Ti compare to other GPUs in the lineup?
As a consumer Blackwell card with 16 GB of VRAM, a 300 W TDP, and about 44.3 TFLOPS of compute, it sits between entry-level consumer cards with less memory and workstation or datacenter GPUs that offer larger VRAM pools.
How does billing work when renting the RTX 5070 Ti on ONIE?
Instances are billed on a per-hour basis. You can connect via SSH to run your workloads and terminate the instance when your session is complete.
Najamite RTX 5070 Ti po uri
Ustvarite račun, izberite konfiguracijo in se povežite prek SSH. Obračun se ustavi, ko izbrišete GPU.
Najamite RTX 5070 Ti