The infrastructure provided by Sieve is fast, scalable, and hassle-free, designed to automatically scale as traffic increases without any extra configuration. It eliminates the need to worry about Docker, CUDA, and GPUs, and allows for packaging models with a simple Python decorator for instant deployment. Sieve also offers a full-featured observability stack for complete visibility of under-the-hood operations, flexible compute-based pricing, and expert support for custom use cases and integration into existing pipelines.
Key takeaways:
- Discover and use state-of-the-art models with just a few lines of code, and access a curated set of production-ready apps for various use cases.
- Deploy custom code with ease, define your environment and compute in code, and deploy with a single command.
- Sieve automatically scales as your traffic increases with zero extra configuration, eliminating worries about Docker, CUDA, and GPUs.
- Flexible, compute-based pricing allows you to pay only for what you use, by the second, giving you full control over your costs.