RTX 4070S vs RTX 3090?

FP32 is similar (35.8 vs 35.4 TFLOPS), but the RTX 3090 has 24 GB and 805 GB/s versus 12 GB and 411 GB/s. The 4070S runs cooler at 220 W; the 3090 fits bigger models.

RTX 4070S vs RTX 4070S Ti?

The RTX 4070S Ti is listed with 16 GB, about 42.6 TFLOPS and 586 GB/s, so it adds memory and speed. Choose the 4070S when 12 GB is enough.

Can the RTX 4070S run Flux?

Yes with GGUF or FP8 quantized Flux in ComfyUI. Full-precision Flux needs 24 GB or more.

How do I start on Cloudj?

Choose a template, select an RTX 4070S configuration from the live inventory, confirm the price and connect over SSH.

GPU Cloud · NVIDIA · Ada Lovelace

Rent an NVIDIA RTX 4070S GPU with 12 GB VRAM

Rent RTX 4070S cloud GPU servers by the hour on Cloudj: 12 GB VRAM, Ada Lovelace and about 35.8 TFLOPS FP32 at a 220 W power limit. It brings RTX 3090-level FP32 to an efficient 12 GB card, for creators and developers whose SDXL, 8B LLM and rendering jobs fit in 12 GB and need to finish quickly. 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 All GPUs

RTX 4070S specifications

VRAM per GPU

12 GB

Architecture

NVIDIA Ada Lovelace

Compute capability

8.9

FP32 compute

≈ 35.8 TFLOPS

Memory bandwidth

≈ 411 GB/s

Power limit

220 W

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

Live RTX 4070S configurations and prices

Out of stock right now

Browse available GPUs

What you can run on the RTX 4070S cloud GPU

Fast SDXL batches

35.8 TFLOPS FP32 and Ada Tensor Cores turn around SDXL batches quickly in 12 GB.

8B models for apps

Serve an 8B model at 8-bit or 14B at 4-bit for prototypes and internal tools.

Rendering on a budget card

Ada RT hardware speeds up Blender and other CUDA renderers for scenes up to 12 GB.

Diffusion LoRA training

Train SD 1.5 and SDXL LoRAs on your own images in a few hourly sessions.

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

Choose the RTX 4070S when your workloads require modern Ada Lovelace features and compute capability 8.9 within a 12 GB memory envelope. Opt for a smaller GPU for basic scripts and very light inference, or step up to a larger workstation or datacenter GPU if your models exceed 12 GB of VRAM or require higher than about 411 GB/s of memory bandwidth.

RTX 4070S vs similar cloud GPUs

GPU	VRAM per GPU	FP32 compute	Power limit
NVIDIA RTX 4070S	12 GB	≈ 35.8 TFLOPS	220 W
NVIDIA RTX 3080 Ti	12 GB	≈ 35.1 TFLOPS	350 W	Details →
NVIDIA RTX 4070	12 GB	≈ 29.3 TFLOPS	200 W	Details →
NVIDIA GTX 1080 Ti	11 GB	≈ 11 TFLOPS	250 W	Details →
NVIDIA GTX 1080	8 GB	≈ 7.8 TFLOPS	130 W	Details →

Guides for RTX 4070S

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.GPU cloud North America: renting GPUs in the US and CanadaA GPU cloud North America guide: how to search US and CA hosts, read the results, pick a VPS front end and decide when a US GPU suits users elsewhere.

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RTX 4070S cloud GPU: frequently asked questions

Rent the RTX 4070S 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 All GPUs