RTX 4070S Ti vs RTX 4080?

Both have 16 GB. The RTX 4080 is listed with about 48.6 TFLOPS vs 42.6, with similar bandwidth (576 vs 586 GB/s) and the same 285 W limit, so the gap is small.

Is 16 GB enough for Flux?

For FP8 or GGUF Flux, yes. Full 16-bit Flux plus add-ons is more comfortable on a 24 GB card such as the RTX 4090.

RTX 4070S Ti vs RTX 5070 Ti?

Both have 16 GB. The Blackwell RTX 5070 Ti is listed with about 44.3 TFLOPS and 734 GB/s, mainly a bandwidth gain that helps LLM decoding.

How is the RTX 4070S Ti billed on Cloudj?

Per minute from your account balance while it runs, at the price locked when you deploy, plus bandwidth per GB. A stopped instance is charged for storage only. There are no monthly GPU plans.

GPU Cloud · NVIDIA · Ada Lovelace

Rent an NVIDIA RTX 4070S Ti GPU with 16 GB VRAM

Name: NVIDIA RTX 4070S Ti cloud GPU
Brand: Cloudj
Availability: InStock

Rent RTX 4070S Ti cloud GPU servers by the hour on Cloudj: 16 GB VRAM, Ada Lovelace and about 42.6 TFLOPS FP32 with 586 GB/s of memory bandwidth. It is a 16 GB Ada card for creators and AI developers who want Flux in quantized form, SDXL with add-ons, 14B LLMs and QLoRA fine-tunes at a 285 W power limit. Pick a live configuration, start from the Ubuntu 22.04 + CUDA or PyTorch + JupyterLab template and connect over SSH with your key.

Rent RTX 4070S Ti All GPUs

RTX 4070S Ti specifications

VRAM per GPU

16 GB

Architecture

NVIDIA Ada Lovelace

Compute capability

8.9

FP32 compute

≈ 42.6 TFLOPS

Memory bandwidth

≈ 586 GB/s

Power limit

285 W

Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.

Live RTX 4070S Ti configurations and prices

From $0.30/h

incl. 32 GB disk · Live price, updated every 15 minutes

Deploy

What you can run on the RTX 4070S Ti cloud GPU

Flux FP8 and SDXL

16 GB runs Flux FP8 and SDXL with ControlNet and LoRAs in ComfyUI.

14B LLMs at 4-bit

Fit a 14B model at 4-bit or 8B at 8-bit with a comfortable context window.

QLoRA on 7B–8B

Fine-tune small language models with Unsloth in BF16.

Mid-size rendering

42.6 TFLOPS FP32 handles product renders and animations that fit in 16 GB.

Is the RTX 4070S Ti the right GPU for your workload?

Choose the RTX 4070S Ti if your workloads require compute capability 8.9 and fit into 16 GB of VRAM without needing enterprise-grade memory capacity. Opt for a smaller consumer GPU for basic development tasks with lighter memory needs, or step up to a larger consumer or workstation card if your models exceed 16 GB.

RTX 4070S Ti vs similar cloud GPUs

GPU	VRAM per GPU	FP32 compute	Power limit
NVIDIA RTX 4070S Ti	16 GB	≈ 42.6 TFLOPS	285 W
NVIDIA RTX 5070 Ti	16 GB	≈ 44.3 TFLOPS	300 W	Details →
NVIDIA RTX 4060 Ti	16 GB	≈ 21.6 TFLOPS	165 W	Details →
NVIDIA RTX 3080 Ti	12 GB	≈ 35.1 TFLOPS	350 W	Details →
NVIDIA GTX 1080 Ti	11 GB	≈ 11 TFLOPS	250 W	Details →

Guides for RTX 4070S Ti

YOLO training GPU cloud guide: computer vision projects in AsiaA YOLO training GPU cloud guide for factory and retail vision in Asia: let dataset size pick the region, use a mid-range RTX card, train and export.GPU cloud Asia guide: Japan, Singapore, Korea and nearbyA practical GPU cloud Asia guide: which country codes to search for East and Southeast Asian users, a fallback order, and how to pair a GPU with a VPS.GPU cloud by location: how to pick a country for your GPUHow GPU cloud by location works on Cloudj: filter a live list of machines by country code, decide between near users, lowest price or data rules.GPU cloud Europe: choosing a country for your AI workloadsA practical guide to GPU cloud Europe searches: filter by several country codes at once, weigh Western, Nordic and Eastern hosts, and plan where data lives.

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RTX 4070S Ti cloud GPU: frequently asked questions

Rent the RTX 4070S Ti cloud GPU by the hour

Pick a live configuration, choose a template and connect over SSH with your key. Billing stops when you destroy the instance.

Rent RTX 4070S Ti All GPUs