MLnative's Framework | Unprecedented Speed and Scale in MLOps

Designed for the most demanding ML use cases

If at least one of the following points is true in your case, consider MLnative as a solution for handling it.

Real-time inferences

Models use GPUs

High peaks in demand

Many models in production

No time for downtimes

Custom ML models

Flexible configuration

Data must stay in your network

We are a perfect match for:

Generative AI

LLM

Text to Speech

Computer Vision

Run ML models like never before

See our cutting-edge features that will enhance your clients' experience with the lowest latency you can imagine, even during high traffic.

Fractional GPU autoscaling

Precise memory allocations for each model.
Scale both ML models and entire GPU's up and down based on demand.

Priority-based rate limiting

Built-in request quota control with configurable priorities.
Make sure that your enterprise customers always get served first.

Easy, automatable deployments

We help you containerize and publish your models in a few simple steps.
Automate it via Rest API, or just use the web UI - it's up to you.

Seamless integration

We support all major ML frameworks. No code modifications required - just take your model and deploy it.

We are cloud agnostic

MLnative can be installed on all major cloud solutions as well as on your on-premise infrastructure.

Keep everything under control

Run models in your environment, ensuring that your data remains securely within your firewalls. In addition, we provide built-in security scanning, audit logs and SSO.

Check MLnative in action

Play with the most popular foundational models on our AI Playground or via simple API and see firsthand the speed and efficiency of the ML models running on our platform.

Try it now

It's 100% free.

FAQ

How does it work?

MLnative provides the customer with a dedicated platform, available via a set of intuitive UI and programming APIs for managing models in production. The platform leverages a range of open-source technologies, as well as a handful of proprietary tweaks to maximize GPU utilization and scalability.

Does my data leave the company network?

Our clusters are fully isolated - there is no communicattion with external services. None of your data is ever leaving your servers.

Who manages the infrastructure?

MLnative manages the infrastructure on the customer's resources, whether that's on any of the supported public clouds, or on-premise.

What does the support look like?

We provide full docs on how to work with the platform, end-to-end example integrations for reference (e.g. a Text-to-speech application built upon MLnative), and a dedicated per-customer support slack channel. We support our customers very actively during the initial onboarding period so that the onboarding process is as smooth as possible.

How secure is MLnative?

We perform regular security scanning on all of our infrastructure. All services are secured via either the company's SSO with RBAC support or a built-in API key system. Every operation is registered in an audit log, available at any time.

Do you support air-gapped environments?

Yes, a complete hands-off approach in case of the most demanding security concerns is available. We provide our customers with installation packages, guidance, and instructions on how to run MLnative effectively.