RTX PRO 5000 vs RTX 6000Ada?

Both have 48 GB. The RTX 6000Ada has slightly more FP32 (81.4 vs 69.6 TFLOPS), while the RTX PRO 5000 has much more bandwidth (1057 vs 764 GB/s), which helps LLM token generation.

RTX PRO 5000 vs RTX 5090 for AI?

The RTX 5090 is listed with 32 GB, 107.6 TFLOPS and 1454 GB/s, so it is faster when the model fits. The RTX PRO 5000 has 48 GB, which lets you run larger models or longer contexts on one GPU.

Which CUDA version do I need?

Blackwell (compute capability 12.0) needs CUDA 12.8 or newer. Check the CUDA and framework versions in your template or Docker image before you deploy.

How is the RTX PRO 5000 billed?

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 · Blackwell

Rent an NVIDIA RTX PRO 5000 GPU with 48 GB VRAM

Name: NVIDIA RTX PRO 5000 cloud GPU
Brand: Cloudj
Availability: InStock

Rent RTX PRO 5000 cloud GPU servers by the hour on Cloudj: 48 GB VRAM on NVIDIA Blackwell, about 69.6 TFLOPS FP32 and 1057 GB/s of memory bandwidth. It is a 48 GB Blackwell workstation card for AI teams and studios running 70B models at 4-bit, full-precision Flux and large renders at a 300 W power limit. Use CUDA 12.8 or newer builds of your software, pick a live configuration and connect over SSH with your key.

Rent RTX PRO 5000 All GPUs

RTX PRO 5000 specifications

VRAM per GPU

48 GB

Architecture

NVIDIA Blackwell

Compute capability

FP32 compute

≈ 69.6 TFLOPS

Memory bandwidth

≈ 1057 GB/s

Power limit

300 W

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

Live RTX PRO 5000 configurations and prices

From $0.76/h

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

Deploy

What you can run on the RTX PRO 5000 cloud GPU

Fast 30B–70B inference

1057 GB/s of bandwidth speeds up decoding, and 48 GB fits 4-bit 70B or 8-bit 30B-class models.

Flux and video at full precision

Run 16-bit Flux and memory-hungry video workflows in ComfyUI with room for add-ons.

Fine-tuning on one card

LoRA on 13B models in BF16 and QLoRA on 30B–70B models fit in 48 GB with Unsloth.

Heavy rendering and simulation

69.6 TFLOPS FP32 and 48 GB handle complex scenes and GPU simulations.

Is the RTX PRO 5000 the right GPU for your workload?

Choose the RTX PRO 5000 when your workloads exceed the memory capacity of consumer cards and require 48 GB of VRAM alongside Blackwell architecture support. Opt for a smaller consumer GPU for lightweight inference, or step up to a larger workstation or datacenter GPU if your models require more than 48 GB of memory or higher multi-GPU interconnect bandwidth.

RTX PRO 5000 vs similar cloud GPUs

GPU	VRAM per GPU	FP32 compute	Power limit
NVIDIA RTX PRO 5000	48 GB	≈ 69.6 TFLOPS	300 W
NVIDIA RTX 6000Ada	48 GB	≈ 81.4 TFLOPS	300 W	Details →
NVIDIA RTX A6000	48 GB	≈ 36.1 TFLOPS	300 W	Details →
NVIDIA Q RTX 8000	48 GB	≈ 11.9 TFLOPS	250 W	Details →
NVIDIA RTX PRO 4000	24 GB	≈ 44.3 TFLOPS	145 W	Details →

Guides for RTX PRO 5000

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 5000 cloud GPU: frequently asked questions

Rent the RTX PRO 5000 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 5000 All GPUs