Rent an NVIDIA RTX 5080 GPU with 16 GB VRAM
Rent RTX 5080 cloud GPU servers by the hour on Cloudj: 16 GB VRAM, NVIDIA Blackwell and about 53.4 TFLOPS FP32 with 782 GB/s of memory bandwidth. It is the fastest 16 GB card in our list, for creators and developers who want quick SDXL and Flux FP8, responsive 14B LLMs and fast rendering at a 360 W power limit. Use CUDA 12.8 or newer builds of your software, pick a live configuration and connect over SSH with your key.
RTX 5080 specifications
VRAM per GPU
16 GB
Architecture
NVIDIA Blackwell
Compute capability
12
FP32 compute
≈ 53.4 TFLOPS
Memory bandwidth
≈ 782 GB/s
Power limit
360 W
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Live RTX 5080 configurations and prices
From $0.49/h
incl. 32 GB disk · Live price, updated every 15 minutes
What you can run on the RTX 5080 cloud GPU
Quick Flux FP8 and SDXL
53.4 TFLOPS FP32 makes 16 GB image workflows in ComfyUI fast to iterate on.
Fast 8B–14B inference
782 GB/s gives snappy token generation for quantized 8B–14B models.
Render and animation frames
Blackwell RT hardware speeds up Blender and other CUDA renderers.
Image LoRA training
Train SDXL and Flux LoRAs quickly in BF16.
Is the RTX 5080 the right GPU for your workload?
Choose the RTX 5080 if you need the Blackwell architecture with compute capability 12.0 and fast memory bandwidth for workloads that fit into 16 GB of VRAM. Opt for a larger workstation or datacenter GPU if your models exceed 16 GB, or select a smaller consumer GPU for basic prototyping with lower compute demands.
RTX 5080 vs similar cloud GPUs
Guides for RTX 5080
RTX 5080 cloud GPU: frequently asked questions
Rent the RTX 5080 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.