RTX 4070 vs RTX 4070S?

Both have 12 GB. The RTX 4070S is listed at about 35.8 TFLOPS vs 29.3 here, while the RTX 4070 has slightly more bandwidth (440 vs 411 GB/s) at a lower 200 W limit.

RTX 4070 vs RTX 3060 for SDXL?

Both have 12 GB. The RTX 4070 is listed with more than twice the FP32 (29.3 vs 12 TFLOPS) and more bandwidth (440 vs 318 GB/s), so images finish much sooner.

Is 12 GB enough for LLM fine-tuning?

For QLoRA on 7B–8B models with moderate sequences, yes. For 13B+ models, choose 16–24 GB.

What is billed when I stop my RTX 4070 on Cloudj?

Only storage is charged while it is stopped, and the GPU is released, so starting again may wait until it is free. Destroy the instance when you no longer need its data to stop all charges.

GPU Cloud · NVIDIA · Ada Lovelace

Rent an NVIDIA RTX 4070 GPU with 12 GB VRAM

Rent RTX 4070 cloud GPU servers by the hour on Cloudj: 12 GB VRAM on Ada Lovelace with about 29.3 TFLOPS FP32 and 440 GB/s of memory bandwidth. At a 200 W power limit it is a balanced, efficient card for creators and developers running SDXL, 8B LLMs and Ada-accelerated rendering. Pick a live configuration, start from the Ubuntu 22.04 + CUDA or PyTorch + JupyterLab template and connect over SSH with your key.

Rent RTX 4070 All GPUs

RTX 4070 specifications

VRAM per GPU

12 GB

Architecture

NVIDIA Ada Lovelace

Compute capability

8.9

FP32 compute

≈ 29.3 TFLOPS

Memory bandwidth

≈ 440 GB/s

Power limit

200 W

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

Live RTX 4070 configurations and prices

Out of stock right now

Browse available GPUs

What you can run on the RTX 4070 cloud GPU

SDXL image generation

12 GB and 29.3 TFLOPS give smooth SDXL runs with a LoRA or two in ComfyUI.

8B LLMs at 8-bit

Serve 8B models at 8-bit or 14B at 4-bit for single-user chat and agent tests.

Ada rendering

Use Ada Lovelace RT hardware for Blender and other CUDA renderers on mid-size scenes.

Small LoRA training

Train SD 1.5 or SDXL LoRAs and QLoRA adapters on 3B–8B LLMs.

Is the RTX 4070 the right GPU for your workload?

The RTX 4070 is a practical choice for developers who need modern Ada Lovelace architecture features and 12 GB of VRAM for prototyping or moderate inference workloads. Select a GPU with more VRAM if your models or batch sizes exceed 12 GB, or opt for an older or smaller consumer GPU if you only run minimal testing scripts.

RTX 4070 vs similar cloud GPUs

GPU	VRAM per GPU	FP32 compute	Power limit
NVIDIA RTX 4070	12 GB	≈ 29.3 TFLOPS	200 W
NVIDIA RTX 3080 Ti	12 GB	≈ 35.1 TFLOPS	350 W	Details →
NVIDIA RTX 4070S	12 GB	≈ 35.8 TFLOPS	220 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 4070

GPU CI runner for ML projects: tests on rented GPU machinesSet up a GPU CI runner pattern for ML tests: a CI runner on a VPS calls a short-lived GPU instance over SSH, billing runs per minute and you destroy it after.TTS GPU server in Asia: latency budgets for voice appsPlan a TTS GPU server for Asian voice apps: build a streaming latency budget, size a small GPU, search SG, HK and JP, and keep the audio pipeline near users.GPU video transcoding FFmpeg NVENC on a cloud GPU in AsiaA GPU video transcoding FFmpeg NVENC setup for Asian video teams: consumer RTX cards, ready commands, and why bandwidth price matters more than GPU price.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.

All articles →

RTX 4070 cloud GPU: frequently asked questions

Rent the RTX 4070 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 4070 All GPUs