What is SDLS? When to use it on GPU providers

SDLS describes how to bring up a workload (image, ports, env) on rented compute like GPUs. It’s perfect for short, repeatable jobs like transcription, batch renders, or LLM endpoints.

Why it helps

• Repeatable deployments across providers
• Clear resource requests (vCPU, RAM, GPU)
• Faster spin-up for small tasks

Typical SDLS for AI

• Whisper ASR microservice
• Stable Diffusion batch renders
• LLM inference endpoints

Ready to try SDLS on a 3090? See SDLS hosting or deploy Whisper on GPU.