Rent NVIDIA L4 GPU by the hour
The NVIDIA L4 is an Ada Lovelace architecture datacenter GPU equipped with 22 GB of VRAM and a 72 W power envelope. It delivers about 24.2 TFLOPS of single-precision floating-point performance and about 221 GB/s of memory bandwidth with CUDA compute capability 8.9. Rent it on Cloudj with per-hour billing, full SSH access, and ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI.
Specifications
VRAM per GPU
22 GB
Architecture
NVIDIA Ada Lovelace
Compute capability
8.9
FP32 compute
≈ 24.2 TFLOPS
Memory bandwidth
≈ 221 GB/s
Power limit
72 W
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Available configurations
Live stock and prices, updated continuously. The final price is confirmed before you order.
Rent nowWhat the L4 is good for
Language Model Inference
Run quantized or small-to-medium language models in the 22 GB VRAM buffer using pre-configured vLLM or Ollama templates.
Image Generation Workflows
Deploy ComfyUI pipelines that fit comfortably within 22 GB of memory while utilizing Ada Lovelace architecture features.
Lightweight Fine-Tuning
Execute parameter-efficient fine-tuning and adapter training jobs in PyTorch/CUDA environments without needing a high-wattage datacenter card.
Batch Media and Vision
Process computer vision inference and video workloads on a datacenter GPU rated at 72 W.
Is it the right GPU for you?
Choose the L4 when you need 22 GB of VRAM and Ada Lovelace compute capability 8.9 for inference or moderate training workloads. Move to a larger datacenter GPU if your models exceed 22 GB or require higher than about 221 GB/s of memory bandwidth, or pick a smaller card for basic development tasks that need less memory.