deployments

AI workflow deployment for peak performance and reliability

Benefit from high-speed setup, robust reliability, and extensive automations in a secure environment tailored specifically for AI workflows

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Simplify access and enhance reliability

Single API endpoint

Access any LLM using just one endpoint.

Fallback mechanisms

Automatically switch to backup models if the primary LLM fails

Retries and caching

Implement retries for failed requests and cache common queries to improve speed

Load balancing

Distribute requests evenly across servers to avoid overloading and reduce response times

Accelerated setup

Rapid deployment with minimal infrastructure

Achieve faster deployment cycles for your LLMs:

  • Quick endpoint creation: establish functional endpoints rapidly with no need for initial infrastructure setup
  • Zero infrastructure requirement: start deploying without any infrastructure work, reducing time-to-market significantly
  • Full-stack enterprise solution: we handle AI workflow deployment, vector databases, and open-source LLMs for you so you can quickly develop and launch conversational applications with minimal infrastructure requirements

High availability

Reliable operations with automated failovers

Ensure your deployments are consistently operational:

  • 99.99% SLA: our platform guarantees an uptime of 99.99%, ensuring your LLMs are always available
  • Automated retries: set up automatic retries for interrupted AI calls to maintain continuous service
  • Model switching: seamlessly transition between different LLMs during outages to prevent disruptions

Configurable environments

Flexible and secure deployment options

Customize and secure your LLM deployment environment:

  • Multiple environments: easily configure separate environments for development, staging, and production
  • Secure deployment: launch your LLMs in a secure, controlled environment that fits your security requirements
  • Detailed execution logs: capture comprehensive details of each execution, including API calls, context, and parallel processing activities