RTX PRO 4000 vs RTX 4090: what is the trade-off?

Both have 24 GB. The RTX 4090 is listed with about 81.4 TFLOPS and 879 GB/s, so it is faster for heavy jobs. The RTX PRO 4000 runs at 145 W with 44.3 TFLOPS and 529 GB/s, on the newer Blackwell architecture.

Does Blackwell work with my existing code?

Blackwell has compute capability 12.0 and needs CUDA 12.8 or newer builds. Most current PyTorch and inference releases support it. Check the CUDA and framework versions in your template or Docker image before you deploy.

Is 24 GB enough for fine-tuning?

For QLoRA on 7B–14B models and SDXL or Flux LoRAs, yes. Larger fine-tunes are easier on 48 GB cards such as the RTX PRO 5000.

How do I rent the RTX PRO 4000?

Choose a template, pick a live RTX PRO 4000 configuration (filter by country if location matters), select your SSH key and confirm the price. Then connect over SSH with the host and port shown on the instance page.

GPU Cloud · NVIDIA · Blackwell

Rent an NVIDIA RTX PRO 4000 GPU with 24 GB VRAM

Name: NVIDIA RTX PRO 4000 cloud GPU
Brand: Cloudj
Availability: InStock

Rent RTX PRO 4000 cloud GPU servers by the hour on Cloudj: 24 GB VRAM, NVIDIA Blackwell and about 44.3 TFLOPS FP32 at just a 145 W power limit. It is an efficient new-generation workstation card for creators and AI developers who want 24 GB for SDXL, Flux and 7B–14B LLMs on current architecture. Use CUDA 12.8 or newer builds of your software, pick a live configuration and connect over SSH with your key.

Rent RTX PRO 4000 All GPUs

RTX PRO 4000 specifications

VRAM per GPU

24 GB

Architecture

NVIDIA Blackwell

Compute capability

FP32 compute

≈ 44.3 TFLOPS

Memory bandwidth

≈ 529 GB/s

Power limit

145 W

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

Live RTX PRO 4000 configurations and prices

From $0.26/h

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

Deploy

What you can run on the RTX PRO 4000 cloud GPU

Flux and SDXL generation

24 GB and 44.3 TFLOPS FP32 handle Flux FP8 and SDXL workflows with LoRAs in ComfyUI.

Local-style LLM serving

Run 8B models in 16-bit or 30B-class models at 4-bit for private assistants and API tests.

Blackwell development

Build and test CUDA 12.8+ code paths on compute capability 12.0 before moving to larger Blackwell GPUs.

Efficient long-running jobs

A 145 W power limit makes it a good fit for steady overnight batches of images, embeddings or transcription.

Is the RTX PRO 4000 the right GPU for your workload?

Choose the RTX PRO 4000 if you need a modern Blackwell workstation card with 24 GB of VRAM for development, rendering, or moderate AI workloads. Opt for a smaller GPU for lightweight inference and basic testing, or move to a larger datacenter GPU if your training pipelines require more memory capacity or higher memory bandwidth.

RTX PRO 4000 vs similar cloud GPUs

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

Guides for RTX PRO 4000

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 PRO 4000 cloud GPU: frequently asked questions

Rent the RTX PRO 4000 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 PRO 4000 All GPUs