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About Inferless

Inferless provides a serverless GPU inference platform designed for deploying machine learning models quickly and affordably. It allows users to take a model file and deploy it as an endpoint in minutes, supporting deployments from Hugging Face, Git, Docker, or CLI with automatic redeploy options. The platform is engineered to handle spiky and unpredictable workloads, automatically scaling from zero to hundreds of GPUs using an in-house load balancer, ensuring efficient resource utilization and minimal overhead. This platform is ideal for machine learning engineers, data scientists, and developers who need to deploy compute-intensive deep learning models without managing underlying infrastructure. It offers features like custom runtimes, NFS-like writable volumes, automated CI/CD, and detailed monitoring. Inferless aims to optimize high-end computing resources, enabling companies to run custom models built on open-source frameworks efficiently and cost-effectively, with a focus on reducing cold starts and providing usage-based billing. Key benefits include zero infrastructure management, on-demand scaling with payment only for actual usage, and lightning-fast cold starts. The platform supports various GPU types like Nvidia A100, A10, and T4, and is built with enterprise-level security, including SOC-2 Type II certification and regular vulnerability scans. It's particularly beneficial for applications in computer vision, NLP, recommendations, and scientific computing.