RTX A4000 vs RTX 3070: which is better for AI?

The RTX 3070 has more FP32 (19.8 TFLOPS) but only 8 GB. The RTX A4000 has 16 GB and about 20.6 TFLOPS, so it fits twice the model size. For AI work memory usually decides first.

Can the RTX A4000 run Flux?

Yes with quantized or FP8 versions of Flux in ComfyUI. Full 16-bit Flux is more comfortable on 24 GB or larger cards such as the RTX 3090 or RTX 4500Ada.

Is 16 GB enough for fine-tuning?

For QLoRA on 7B–8B models and LoRA on SDXL, yes. Larger models or longer sequences need 24 GB or more.

How is the RTX A4000 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 · Ampere

Rent an NVIDIA RTX A4000 GPU with 16 GB VRAM

Name: NVIDIA RTX A4000 cloud GPU
Brand: Cloudj
Availability: InStock

Rent RTX A4000 cloud GPU servers by the hour on Cloudj: 16 GB VRAM, Ampere architecture and about 20.6 TFLOPS FP32 at a 140 W power limit. It is a dependable workstation card for SDXL, 7B–14B LLM inference, CAD and rendering when 8–12 GB is too tight. Pick a live configuration, start from the Ubuntu 22.04 + CUDA or PyTorch + JupyterLab template and connect over SSH with your key.

Rent RTX A4000 All GPUs

RTX A4000 specifications

VRAM per GPU

16 GB

Architecture

NVIDIA Ampere

Compute capability

8.6

FP32 compute

≈ 20.6 TFLOPS

Memory bandwidth

≈ 372 GB/s

Power limit

140 W

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

Live RTX A4000 configurations and prices

From $0.11/h

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

Deploy

What you can run on the RTX A4000 cloud GPU

SDXL in ComfyUI

16 GB runs SDXL with LoRAs and ControlNet, and Flux in quantized GGUF form.

7B–14B LLM inference

Serve an 8B model at 8-bit or a 14B model at 4-bit through Ollama or vLLM.

CAD and visualization

Run 3D rendering and simulation tools in batch mode over SSH on an Ampere workstation GPU.

QLoRA on 7B models

Fine-tune 7B–8B models with Unsloth in 16 GB, using BF16 on Ampere.

Is the RTX A4000 the right GPU for your workload?

The RTX A4000 suits developers and creators who need a reliable 16 GB Ampere workstation GPU for inference, image generation, and code prototyping. Choose a smaller GPU for basic testing with lower memory needs, or step up to a larger datacenter or workstation card if your models exceed 16 GB of VRAM or require higher memory bandwidth.

RTX A4000 vs similar cloud GPUs

GPU	VRAM per GPU	FP32 compute	Power limit
NVIDIA RTX A4000	16 GB	≈ 20.6 TFLOPS	140 W
NVIDIA Q RTX 4000	8 GB	≈ 7.7 TFLOPS	125 W	Details →
NVIDIA RTX 4500Ada	24 GB	≈ 38.2 TFLOPS	210 W	Details →
NVIDIA RTX PRO 4000	24 GB	≈ 44.3 TFLOPS	145 W	Details →
NVIDIA RTX A2000	6 GB	≈ 11.2 TFLOPS	70 W	Details →

Guides for RTX A4000

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.

All articles →

RTX A4000 cloud GPU: frequently asked questions

Rent the RTX A4000 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 A4000 All GPUs