LLMs CI/CD Made Easy For Enterprises

End-to-end solution for optimizing, fine-tuning, and deploying LLMs within enterprise infrastructure,
enabling businesses to leverage the power of AI without compromising on performance, security, or cost.

Enabling Machine Learning platform teams to build custom Large Language Models (LLMs) which are computational intensive and often require specialized hardware.

Running LLMs on existing infrastructure is often difficult or impossible, while sending data to the cloud draws concerns about privacy and compliance.

HOW CAN KOMPILE

SOLVE YOUR CHALLENGES?

optimization

LLMs Optimization On Autopilot

Kompile automatically fine-tunes LLMs to fit your existing hardware using state-of-the-art optimization techniques, reducing time-to-market and execution costs.

deployment

Built For Your Deployment Workflow

No need to rewrite any code to work with us. Kompile provides embeddable open-source CLI tools runnable on Linux to integrate seamlessly with your existing workflow.

packages

Generate Deployment-Ready Model Packages

Get pre-packaged models for embedded use, or REST APIs or servers for remote deployment.

cicd

CI/CD Made Easy

Kompile auto-pilot optimization and packaging makes integrating new code changes into existing LLMs easier than ever.

We also integrate with your your experiment tracking out of the box for monitoring and evaluating models in production environments.

Enables

optimized, efficient, and secure
Large Language Models within enterprise environment

AI

Reduced Hardware Cost

By optimizing LLMs for your infrastructure, Kompile significantly reduces hardware costs and prevents vendor lock-in.

AI

Build Domain-Specific Models

Tailor LLMs with your enterprise’s specific dataset, building domain-expert models for your unique use cases.

AI

Enhanced Trustworthiness

Additional techniques help prevent model hallucination, ensuring accuracy and reliable results for users.

AI

Compliance and Privacy

Keep your model and data on your infrastructure, ensuring adherence to privacy, compliance and licensing requirements.

AI

Framework Agnostic

Our platform supports LLMs built on popular frameworks, including TensorFlow, ONNX, PyTorch, Keras, Jax... providing unparalleled flexibility.

WORKS WITH FRAMEWORKS YOU TRUST

tensorflowpytorchonnxkerasjax

JOIN THE WAITLIST

Kompile is currently in Early Access Only mode.
Join the waitlist & unlock the full potential of LLMs on your own infrastructure with Kompile when we are ready to launch.

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