Inferless

Inferless allows for the seamless deployment of any machine learning model into production with ultra-low cold starts and scalable infrastructure. Users can deploy models from Hugging Face, Git, Docker, or through their CLI, with the option for automatic redeployment to start shipping in minutes. Designed to handle spiky and unpredictable workloads, Inferless can scale from zero to hundreds of GPUs at the click of a button, thanks to its in-house load balancer that minimizes overhead.

Inferless is engineered for high-end production workloads, enabling companies to run custom models built on open-source frameworks affordably and quickly. As a serverless GPU inference platform, it eliminates the need for infrastructure management, allowing instant deployment without the hassle of provisioning or maintenance. The platform auto-scales with workload demand, ensuring users only pay for what they use, with no idle costs. It is optimized for lightning-fast cold starts, providing sub-second response times even for large models.

Built for scale and enterprise security, Inferless holds a SOC-2 Type II certification and undergoes regular penetration testing and vulnerability scans. The platform has received positive feedback for its ability to reduce fixed costs, enhance model performance, and simplify deployment processes. Users have reported significant savings on GPU cloud bills and improved performance across varying loads, making Inferless a reliable and efficient solution for machine learning model deployment.