Compute & AI applications, data and AI in the global network

Applications, data and AI run directly in the global edge network – with serverless compute based on Cloudflare Workers, scalable storage and AI inference close to the user, without any server infrastructure of your own.

Build and run – directly in the global network.

Modern applications need compute power, storage and AI where the users are. Instead of your own server and GPU infrastructure, code, data and AI models run in a globally distributed edge network – scaling automatically, close to the user and without operating data centres of your own.

KAEMI plans and operates these solutions on the basis of Cloudflare's globally distributed developer platform – from serverless compute and scalable storage to AI inference and vector search.

GET IN TOUCHAll Cloudflare products for Compute & AI at a glance

Features

Serverless functions

Code runs as a global serverless function directly in the edge network – close to the user and without servers of your own. Execution scales automatically from zero to millions of requests, and billing is based on actual usage.

Containers & secure execution

Applications in any language run in isolated containers and sandboxes – ideal for compute-intensive or untrusted workloads, securely shielded from one another.

Workflows & orchestration

Multi-step, long-running processes are orchestrated reliably. Stateful components keep the status consistent – even across many steps and retries.

Object storage without egress fees

Object storage for large volumes of data – without fees for data retrieval (egress). This makes data- and media-intensive applications economically predictable.

Serverless databases

Serverless SQL databases and ultra-fast key-value storage sit right next to the application – low latency, automatic scaling and no database administration during operation.

Data platform & queues

Data is ingested, catalogued and queried; message queues decouple services and smooth out load peaks; existing databases are accelerated globally.

AI inference at the edge

AI models run directly in the global network, close to the user – inference without GPU infrastructure of your own, with low latency and easy integration into existing applications.

Vector database & AI search

A vector database stores embeddings for semantic search and retrieval-augmented generation (RAG) – the foundation for precise, context-aware AI answers on your own data.

AI gateway & agents

An AI gateway makes model calls observable, cacheable and controllable. On top of it, stateful AI agents can be built that carry out tasks autonomously and traceably.

Your benefits with KAEMI at a glance

  • Global performance: applications run close to the user
  • Automatic scaling – from zero to millions of requests
  • No operation of your own server and GPU infrastructure
  • Predictable costs, including object storage without egress fees
  • AI built in: inference, vector search and agents
  • High security through isolated execution
  • Faster development thanks to ready-made building blocks
  • Implementation with deep vendor expertise and managed services by KAEMI

Frequently asked questions

What is Compute & AI at KAEMI?

Compute & AI bundles applications, data and AI directly in the global edge network. Based on Cloudflare Workers, serverless functions, containers and workflows run close to the user, complemented by scalable object storage, serverless databases and AI inference at the edge. KAEMI plans, implements and operates this platform as a Cloudflare partner.

How does serverless compute in the edge network work?

Your code runs as a serverless function on Cloudflare Workers, distributed across the global edge network, without you provisioning or managing servers. Requests are executed at the nearest location, containers provide secure execution, and workflows handle orchestration. The application scales automatically and responds with low latency close to the user.

What are the benefits of object storage without egress fees?

Object storage without egress fees means no additional outbound costs are charged for retrieving data. That makes costs more predictable, especially for data-intensive applications and AI workloads. Combined with serverless databases, a data platform and queues, you keep data and processing close together in the edge network, so large data volumes remain quickly and economically available.

How does edge compute differ from a classic central cloud?

In a classic central cloud, applications run in individual data centres, whereas edge compute distributes code and data across the global network and executes them close to the user. That shortens latency and enables AI inference at the edge. In addition, object storage carries no egress fees, which makes data retrieval more cost-effective than many central offerings.

How does KAEMI support AI applications and agents?

KAEMI plans, implements and operates your AI building blocks as a managed service and Cloudflare partner. These include AI inference at the edge, a vector database for AI search as well as an AI gateway and the execution of agents. The solution is tailored to your use case, requirements-driven, so AI features work directly with your data in the edge network.

Who is Compute & AI suitable for?

Compute & AI suits organisations that want to run applications, data and AI close to the user in the global edge network instead of managing their own server infrastructure. It is a particularly good fit for scalable web and AI workloads with high data volumes. KAEMI operates the platform as a managed service, aligned to your requirements.

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