Rent an NVIDIA RTX 4500Ada GPU with 24 GB VRAM
Rent RTX 4500Ada cloud GPU servers by the hour on Cloudj: 24 GB VRAM, Ada Lovelace and about 38.2 TFLOPS FP32 at an efficient 210 W power limit. It is a balanced workstation GPU for creators and AI developers who want 24 GB of memory for SDXL, Flux, rendering or 7B–14B LLMs. Pick a live configuration, start from the Ubuntu 22.04 + CUDA or PyTorch + JupyterLab template and connect over SSH with your key.
RTX 4500Ada specifications
VRAM per GPU
24 GB
Architecture
NVIDIA Ada Lovelace
Compute capability
8.9
FP32 compute
≈ 38.2 TFLOPS
Memory bandwidth
≈ 346 GB/s
Power limit
210 W
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Live RTX 4500Ada configurations and prices
From $0.41/h
incl. 32 GB disk · Live price, updated every 15 minutes
What you can run on the RTX 4500Ada cloud GPU
SDXL and Flux workflows
24 GB runs SDXL and Flux FP8 in ComfyUI with LoRAs and upscalers loaded together.
8B models in 16-bit
Serve an 8B model in 16-bit or a 30B-class model at 4-bit for private chat or API testing.
Workstation rendering
Ada Lovelace RT hardware and 38.2 TFLOPS FP32 handle product renders and look-dev in the cloud.
LoRA fine-tuning
Fine-tune 7B–8B models with QLoRA in Unsloth, or train SDXL LoRAs on your own image sets.
Is the RTX 4500Ada the right GPU for your workload?
This workstation card fits developers who need 24 GB of VRAM and Ada Lovelace architecture features without stepping up to heavier datacenter hardware. Choose a smaller GPU for lightweight tasks that need less memory, or select a larger workstation or datacenter GPU if your workloads require more VRAM or higher memory bandwidth than about 346 GB/s.
RTX 4500Ada vs similar cloud GPUs
Guides for RTX 4500Ada
RTX 4500Ada cloud GPU: frequently asked questions
Rent the RTX 4500Ada 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.