Future of Education Conference 2023
Join educators, researchers, and innovators for a three-day conference exploring the future of education. Featuring keynote speeches, breakout sessions, networking opportunities, and more.
AI Cloud compute
At the core of the AI Cloud is Fluid compute, which optimizes for these workloads while eliminating traditional serverless and server tradeoffs such as cold starts, manual scaling, overprovisioning, and inefficient concurrency.
Fluid deploys with the serverless model while intelligently reusing existing resources before scaling to create new ones, and with Active CPU pricing, resources are not only reduced, but you only pay compute rates when your code is actively executing.
For workloads with high idle time, such as AI interence, agents, or MCP servers that wait on external responses, this resource efficiency can reduce costs by up to 90% compared to traditional serverless. This efficiency also applies during an AI agent's tool use.